final GODE code(paper)

Import

import numpy as np
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd
import random

import warnings
warnings.simplefilter("ignore", np.ComplexWarning)
from haversine import haversine
from IPython.display import HTML
import plotly.graph_objects as go
import copy 

import tqdm
from rpy2.robjects.packages import importr
from rpy2.robjects.vectors import FloatVector 

from pygsp import graphs, filters, plotting, utils

from sklearn.metrics import confusion_matrix
from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score

from sklearn.neighbors import LocalOutlierFactor
from pyod.models.knn import KNN
from pyod.models.cblof import CBLOF
from sklearn import svm
from pyod.models.mcd import MCD
from pyod.models.feature_bagging import FeatureBagging
from pyod.models.abod import ABOD
from alibi_detect.od import IForest
from pyod.models.hbos import HBOS
from pyod.models.sos import SOS
from pyod.models.so_gaal import SO_GAAL
from pyod.models.mo_gaal import MO_GAAL
from pyod.models.lscp import LSCP
from pyod.models.lof import LOF
from pyod.models.ocsvm import OCSVM
from sklearn.svm import OneClassSVM

2023-08-07 21:25:38.789152: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
  from .autonotebook import tqdm as notebook_tqdm

Simulation

Class Code

class Conf_matrx:
    def __init__(self,original,compare):
        self.original = original
        self.compare = compare
    def conf(self,name):
        self.conf_matrix = confusion_matrix(self.original, self.compare)
        
        fig, ax = plt.subplots(figsize=(5, 5))
        ax.matshow(self.conf_matrix, cmap=plt.cm.Oranges, alpha=0.3)
        for i in range(self.conf_matrix.shape[0]):
            for j in range(self.conf_matrix.shape[1]):
                ax.text(x=j, y=i,s=self.conf_matrix[i, j], va='center', ha='center', size='xx-large')
        plt.xlabel('Predictions', fontsize=18)
        plt.ylabel('Actuals', fontsize=18)
        plt.title('Confusion Matrix', fontsize=18)
        plt.show()
        
        self.acc = accuracy_score(self.original, self.compare)
        self.pre = precision_score(self.original, self.compare)
        self.rec = recall_score(self.original, self.compare)
        self.f1 = f1_score(self.original, self.compare)
        
        print('Accuracy: %.3f' % self.acc)
        print('Precision: %.3f' % self.pre)
        print('Recall: %.3f' % self.rec)
        print('F1 Score: %.3f' % self.f1)

class Linear:
    def __init__(self,df):
        self.df = df
        self.y = df.y.to_numpy()
        self.x = df.x.to_numpy()
        self.n = len(self.y)
        self.W = w
    def _eigen(self):
        d= self.W.sum(axis=1)
        D= np.diag(d)
        self.L = np.diag(1/np.sqrt(d)) @ (D-self.W) @ np.diag(1/np.sqrt(d))
        self.lamb, self.Psi = np.linalg.eigh(self.L)
        self.Lamb = np.diag(self.lamb)      
    def fit(self,sd=20): # fit with ebayesthresh
        self._eigen()
        self.ybar = self.Psi.T @ self.y # fbar := graph fourier transform of f
        self.power = self.ybar**2 
        ebayesthresh = importr('EbayesThresh').ebayesthresh
        self.power_threshed=np.array(ebayesthresh(FloatVector(self.ybar**2),sd=sd))
        self.ybar_threshed = np.where(self.power_threshed>0,self.ybar,0)
        self.yhat = self.Psi@self.ybar_threshed
        self.df = self.df.assign(yHat = self.yhat)
        self.df = self.df.assign(Residual = self.df.y- self.df.yHat)

class Orbit:
    def __init__(self,df):
        self.df = df 
        self.f = df.f.to_numpy()
        self.x = df.x.to_numpy()
        self.y = df.y.to_numpy()
        self.n = len(self.f)
        self.theta= None
    def get_distance(self):
        self.D = np.zeros([self.n,self.n])
        locations = np.stack([self.x, self.y],axis=1)
        for i in tqdm.tqdm(range(self.n)):
            for j in range(i,self.n):
                self.D[i,j]=np.linalg.norm(locations[i]-locations[j])
        self.D = self.D + self.D.T
    def get_weightmatrix(self,theta=1,beta=0.5,kappa=4000):
        self.theta = theta
        dist = np.where(self.D < kappa,self.D,0)
        self.W = np.exp(-(dist/self.theta)**2)
    def _eigen(self):
        d= self.W.sum(axis=1)
        D= np.diag(d)
        self.L = np.diag(1/np.sqrt(d)) @ (D-self.W) @ np.diag(1/np.sqrt(d))
        self.lamb, self.Psi = np.linalg.eigh(self.L)
        self.Lamb = np.diag(self.lamb)       
    def fit(self,sd=5,ref=20): # fit with ebayesthresh
        self._eigen()
        self.fbar = self.Psi.T @ self.f # fbar := graph fourier transform of f
        self.power = self.fbar**2 
        ebayesthresh = importr('EbayesThresh').ebayesthresh
        self.power_threshed=np.array(ebayesthresh(FloatVector(self.fbar**2),sd=sd))
        self.fbar_threshed = np.where(self.power_threshed>0,self.fbar,0)
        self.fhat = self.Psi@self.fbar_threshed
        self.df = self.df.assign(fHat = self.fhat)
        self.df = self.df.assign(Residual = self.df.f- self.df.fHat)
        self.bottom = np.zeros_like(self.f)
        self.width=0.05
        self.depth=0.05

class BUNNY:
    def __init__(self,df):
        self.df = df 
        self.f = df.f.to_numpy()
        self.z = df.z.to_numpy()
        self.x = df.x.to_numpy()
        self.y = df.y.to_numpy()
        self.noise = df.noise.to_numpy()
        self.fnoise = self.f + self.noise
        self.W = _W
        self.n = len(self.f)
        self.theta= None
    def _eigen(self):
        d= self.W.sum(axis=1)
        D= np.diag(d)
        self.L = np.diag(1/np.sqrt(d)) @ (D-self.W) @ np.diag(1/np.sqrt(d))
        self.lamb, self.Psi = np.linalg.eigh(self.L)
        self.Lamb = np.diag(self.lamb)       
    def fit(self,sd=5,ref=6): # fit with ebayesthresh
        self._eigen()
        self.fbar = self.Psi.T @ self.fnoise # fbar := graph fourier transform of f
        self.power = self.fbar**2 
        ebayesthresh = importr('EbayesThresh').ebayesthresh
        self.power_threshed=np.array(ebayesthresh(FloatVector(self.fbar**2),sd=sd))
        self.fbar_threshed = np.where(self.power_threshed>0,self.fbar,0)
        self.fhat = self.Psi@self.fbar_threshed
        self.df = self.df.assign(fnoise = self.fnoise)
        self.df = self.df.assign(fHat = self.fhat)
        self.df = self.df.assign(Residual = self.df.f + self.df.noise - self.df.fHat)
        self.bottom = np.zeros_like(self.f)
        self.width=0.05
        self.depth=0.05

Linear

np.random.seed(6)
epsilon = np.around(np.random.normal(size=1000),15)
signal = np.random.choice(np.concatenate((np.random.uniform(-7, -5, 25).round(15), np.random.uniform(5, 7, 25).round(15), np.repeat(0, 950))), 1000)
eta = signal + epsilon

outlier_true_one_1 = signal.copy()

outlier_true_one_1 = list(map(lambda x: -1 if x!=0 else 1,outlier_true_one_1))

x_1 = np.linspace(0,2,1000)
y1_1 = 5 * x_1
y_1 = y1_1 + eta # eta = signal + epsilon

_df=pd.DataFrame({'x':x_1, 'y':y_1})

GODE

w=np.zeros((1000,1000))

for i in range(1000):
    for j in range(1000):
        if i==j :
            w[i,j] = 0
        elif np.abs(i-j) <= 1 : 
            w[i,j] = 1

_Linear = Linear(_df)

_Linear.fit(sd=20)

outlier_simul_one = (_Linear.df['Residual']**2).tolist()

sorted_data = sorted(outlier_simul_one,reverse=True)
index = int(len(sorted_data) * 0.05)
threshold = sorted_data[index]
outlier_simul_one = list(map(lambda x: -1 if x > threshold else 1,outlier_simul_one))

outlier_simul_one.count(1)

950

outlier_simul_one.count(-1)

50

_conf = Conf_matrx(outlier_true_one_1,outlier_simul_one)

_conf.conf("GODE")

Accuracy: 0.999
Precision: 0.999
Recall: 1.000
F1 Score: 0.999

LOF

np.random.seed(77)
clf = LocalOutlierFactor(contamination=0.05)

_conf = Conf_matrx(outlier_true_one_1,clf.fit_predict(_df))

_conf.conf("LOF (Breunig et al., 2000)")

Accuracy: 0.991
Precision: 0.995
Recall: 0.996
F1 Score: 0.995

KNN

from pyod.models.knn import KNN

np.random.seed(77)
clf = KNN(contamination=0.05)
clf.fit(_df[['x', 'y']])
_df['knn_Clf'] = clf.labels_

outlier_KNN_one = list(clf.labels_)

outlier_KNN_one = list(map(lambda x: 1 if x==0  else -1,outlier_KNN_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_KNN_one)

_conf.conf("kNN (Ramaswamy et al., 2000)")

Accuracy: 0.991
Precision: 0.995
Recall: 0.996
F1 Score: 0.995

CBLOF

clf = CBLOF(contamination=0.05,random_state=77)
clf.fit(_df[['x', 'y']])
_df['CBLOF_Clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning
  super()._check_params_vs_input(X, default_n_init=10)

outlier_CBLOF_one = list(clf.labels_)

outlier_CBLOF_one = list(map(lambda x: 1 if x==0  else -1,outlier_CBLOF_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_CBLOF_one)

_conf.conf("CBLOF (He et al., 2003)")

Accuracy: 0.969
Precision: 0.983
Recall: 0.984
F1 Score: 0.984

OCSVM

np.random.seed(77)
clf = svm.OneClassSVM(nu=0.05)

clf.fit(_df)

OneClassSVM(nu=0.05)

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outlier_OSVM_one = list(clf.predict(_df))

_conf = Conf_matrx(outlier_true_one_1,outlier_OSVM_one)

_conf.conf("OCSVM (Sch ̈olkopf et al., 2001)")

Accuracy: 0.969
Precision: 0.982
Recall: 0.985
F1 Score: 0.984

MCD

clf = MCD(contamination=0.05, random_state = 77)
clf.fit(_df[['x', 'y']])
_df['MCD_clf'] = clf.labels_

outlier_MCD_one = list(clf.labels_)

outlier_MCD_one = list(map(lambda x: 1 if x==0  else -1,outlier_MCD_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_MCD_one)

_conf.conf("MCD (Hardin and Rocke, 2004)")

Accuracy: 0.999
Precision: 0.999
Recall: 1.000
F1 Score: 0.999

Feature Bagging

clf = FeatureBagging(contamination=0.05, random_state=77)
clf.fit(_df[['x', 'y']])
_df['FeatureBagging_clf'] = clf.labels_

outlier_FeatureBagging_one = list(clf.labels_)

outlier_FeatureBagging_one = list(map(lambda x: 1 if x==0  else -1,outlier_FeatureBagging_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_FeatureBagging_one)

_conf.conf("Feature Bagging (Lazarevic and Kumar, 2005)")

Accuracy: 0.993
Precision: 0.996
Recall: 0.997
F1 Score: 0.996

ABOD

np.random.seed(77)
clf = ABOD(contamination=0.05)
clf.fit(_df[['x', 'y']])
_df['ABOD_Clf'] = clf.labels_

outlier_ABOD_one = list(clf.labels_)

outlier_ABOD_one = list(map(lambda x: 1 if x==0  else -1,outlier_ABOD_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_ABOD_one)

_conf.conf("ABOD (Kriegel et al., 2008)")

Accuracy: 0.973
Precision: 0.985
Recall: 0.986
F1 Score: 0.986

IForest

np.random.seed(77)
od = IForest(
    threshold=0.
)

od.fit(_df[['x', 'y']])

preds = od.predict(
    _df[['x', 'y']],
    return_instance_score=True
)

_df['IF_alibi'] = preds['data']['is_outlier']

outlier_alibi_one = _df['IF_alibi']

outlier_alibi_one = list(map(lambda x: 1 if x==0  else -1,outlier_alibi_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_alibi_one)

_conf.conf("Isolation Forest (Liu et al., 2008)")

Accuracy: 0.887
Precision: 1.000
Recall: 0.881
F1 Score: 0.937

HBOS

np.random.seed(77)
clf = HBOS(contamination=0.05)
clf.fit(_df[['x', 'y']])
_df['HBOS_clf'] = clf.labels_

outlier_HBOS_one = list(clf.labels_)

outlier_HBOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_HBOS_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_HBOS_one)

_conf.conf("HBOS (Goldstein and Dengel, 2012)")

Accuracy: 0.972
Precision: 0.973
Recall: 0.998
F1 Score: 0.985

SOS

np.random.seed(77)
clf = SOS(contamination=0.05)
clf.fit(_df[['x', 'y']])
_df['SOS_clf'] = clf.labels_

outlier_SOS_one = list(clf.labels_)

outlier_SOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_SOS_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_SOS_one)

_conf.conf("SOS (Janssens et al., 2012)")

Accuracy: 0.907
Precision: 0.951
Recall: 0.952
F1 Score: 0.951

SO_GAAL

np.random.seed(77)
clf = SO_GAAL(contamination=0.05)
clf.fit(_df[['x', 'y']])
_df['SO_GAAL_clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

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Epoch 54 of 60

Testing for epoch 54 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 1.5480

Testing for epoch 54 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 1.5432
Epoch 55 of 60

Testing for epoch 55 index 1:
16/16 [==============================] - 0s 979us/step - loss: 1.5569

Testing for epoch 55 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.5832
Epoch 56 of 60

Testing for epoch 56 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.5869

Testing for epoch 56 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 1.5884
Epoch 57 of 60

Testing for epoch 57 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 1.6128

Testing for epoch 57 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 1.6283
Epoch 58 of 60

Testing for epoch 58 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.6028

Testing for epoch 58 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.6105
Epoch 59 of 60

Testing for epoch 59 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 1.6342

Testing for epoch 59 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.6065
Epoch 60 of 60

Testing for epoch 60 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.6516

Testing for epoch 60 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 1.6584
32/32 [==============================] - 0s 1ms/step

outlier_SO_GAAL_one = list(clf.labels_)

outlier_SO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_SO_GAAL_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_SO_GAAL_one)

_conf.conf("SO-GAAL (Liu et al., 2019)")

Accuracy: 0.941
Precision: 0.968
Recall: 0.969
F1 Score: 0.969

MO_GAAL

np.random.seed(77)
clf = MO_GAAL(contamination=0.05)
clf.fit(_df[['x', 'y']])
_df['MO_GAAL_clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

Epoch 1 of 60

Testing for epoch 1 index 1:
WARNING:tensorflow:5 out of the last 42 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7fc5e42f1750> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
WARNING:tensorflow:5 out of the last 12 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7fc5e411c9d0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
32/32 [==============================] - 0s 2ms/step
WARNING:tensorflow:5 out of the last 165 calls to <function Model.make_train_function.<locals>.train_function at 0x7fc5f69870a0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
WARNING:tensorflow:6 out of the last 166 calls to <function Model.make_train_function.<locals>.train_function at 0x7fc5f6987760> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.

Testing for epoch 1 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 2 of 60

Testing for epoch 2 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 2 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 3 of 60

Testing for epoch 3 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 3 index 2:
32/32 [==============================] - 0s 644us/step
Epoch 4 of 60

Testing for epoch 4 index 1:
32/32 [==============================] - 0s 659us/step

Testing for epoch 4 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 5 of 60

Testing for epoch 5 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 5 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 6 of 60

Testing for epoch 6 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 6 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 7 of 60

Testing for epoch 7 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 7 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 8 of 60

Testing for epoch 8 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 8 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 9 of 60

Testing for epoch 9 index 1:
32/32 [==============================] - 0s 3ms/step

Testing for epoch 9 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 10 of 60

Testing for epoch 10 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 10 index 2:
32/32 [==============================] - 0s 878us/step
Epoch 11 of 60

Testing for epoch 11 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 11 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 12 of 60

Testing for epoch 12 index 1:
32/32 [==============================] - 0s 733us/step

Testing for epoch 12 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 13 of 60

Testing for epoch 13 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 13 index 2:
32/32 [==============================] - 0s 4ms/step
Epoch 14 of 60

Testing for epoch 14 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 14 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 15 of 60

Testing for epoch 15 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 15 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 16 of 60

Testing for epoch 16 index 1:
32/32 [==============================] - 0s 3ms/step

Testing for epoch 16 index 2:
32/32 [==============================] - 0s 947us/step
Epoch 17 of 60

Testing for epoch 17 index 1:
32/32 [==============================] - 0s 865us/step

Testing for epoch 17 index 2:
32/32 [==============================] - 0s 3ms/step
Epoch 18 of 60

Testing for epoch 18 index 1:
32/32 [==============================] - 0s 805us/step

Testing for epoch 18 index 2:
32/32 [==============================] - 0s 729us/step
Epoch 19 of 60

Testing for epoch 19 index 1:
32/32 [==============================] - 0s 674us/step

Testing for epoch 19 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 20 of 60

Testing for epoch 20 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 20 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 21 of 60

Testing for epoch 21 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 21 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5061
16/16 [==============================] - 0s 2ms/step - loss: 0.7494
16/16 [==============================] - 0s 5ms/step - loss: 0.9280
16/16 [==============================] - 0s 2ms/step - loss: 1.0581
16/16 [==============================] - 0s 2ms/step - loss: 1.1272
16/16 [==============================] - 0s 1ms/step - loss: 1.1556
16/16 [==============================] - 0s 1ms/step - loss: 1.1666
16/16 [==============================] - 0s 2ms/step - loss: 1.1705
16/16 [==============================] - 0s 3ms/step - loss: 1.1720
16/16 [==============================] - 0s 3ms/step - loss: 1.1724
Epoch 22 of 60

Testing for epoch 22 index 1:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5049
16/16 [==============================] - 0s 4ms/step - loss: 0.7609
16/16 [==============================] - 0s 6ms/step - loss: 0.9509
16/16 [==============================] - 0s 5ms/step - loss: 1.0874
16/16 [==============================] - 0s 4ms/step - loss: 1.1542
16/16 [==============================] - 0s 2ms/step - loss: 1.1800
16/16 [==============================] - 0s 3ms/step - loss: 1.1893
16/16 [==============================] - 0s 3ms/step - loss: 1.1924
16/16 [==============================] - 0s 5ms/step - loss: 1.1935
16/16 [==============================] - 0s 5ms/step - loss: 1.1937

Testing for epoch 22 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.5052
16/16 [==============================] - 0s 4ms/step - loss: 0.7630
16/16 [==============================] - 0s 5ms/step - loss: 0.9593
16/16 [==============================] - 0s 2ms/step - loss: 1.0960
16/16 [==============================] - 0s 3ms/step - loss: 1.1594
16/16 [==============================] - 0s 6ms/step - loss: 1.1825
16/16 [==============================] - 0s 2ms/step - loss: 1.1904
16/16 [==============================] - 0s 2ms/step - loss: 1.1929
16/16 [==============================] - 0s 5ms/step - loss: 1.1936
16/16 [==============================] - 0s 2ms/step - loss: 1.1937
Epoch 23 of 60

Testing for epoch 23 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5066
16/16 [==============================] - 0s 3ms/step - loss: 0.7673
16/16 [==============================] - 0s 5ms/step - loss: 0.9673
16/16 [==============================] - 0s 7ms/step - loss: 1.1018
16/16 [==============================] - 0s 6ms/step - loss: 1.1618
16/16 [==============================] - 0s 6ms/step - loss: 1.1825
16/16 [==============================] - 0s 4ms/step - loss: 1.1892
16/16 [==============================] - 0s 4ms/step - loss: 1.1910
16/16 [==============================] - 0s 5ms/step - loss: 1.1915
16/16 [==============================] - 0s 4ms/step - loss: 1.1916

Testing for epoch 23 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5064
16/16 [==============================] - 0s 2ms/step - loss: 0.7710
16/16 [==============================] - 0s 2ms/step - loss: 0.9741
16/16 [==============================] - 0s 3ms/step - loss: 1.1081
16/16 [==============================] - 0s 4ms/step - loss: 1.1657
16/16 [==============================] - 0s 2ms/step - loss: 1.1848
16/16 [==============================] - 0s 1ms/step - loss: 1.1906
16/16 [==============================] - 0s 4ms/step - loss: 1.1922
16/16 [==============================] - 0s 2ms/step - loss: 1.1925
16/16 [==============================] - 0s 2ms/step - loss: 1.1925
Epoch 24 of 60

Testing for epoch 24 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.5069
16/16 [==============================] - 0s 5ms/step - loss: 0.7755
16/16 [==============================] - 0s 8ms/step - loss: 0.9829
16/16 [==============================] - 0s 1ms/step - loss: 1.1165
16/16 [==============================] - 0s 4ms/step - loss: 1.1717
16/16 [==============================] - 0s 2ms/step - loss: 1.1891
16/16 [==============================] - 0s 10ms/step - loss: 1.1942
16/16 [==============================] - 0s 2ms/step - loss: 1.1955
16/16 [==============================] - 0s 3ms/step - loss: 1.1957
16/16 [==============================] - 0s 3ms/step - loss: 1.1956

Testing for epoch 24 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 6ms/step - loss: 0.4949
16/16 [==============================] - 0s 5ms/step - loss: 0.7842
16/16 [==============================] - 0s 3ms/step - loss: 1.0087
16/16 [==============================] - 0s 3ms/step - loss: 1.1524
16/16 [==============================] - 0s 2ms/step - loss: 1.2108
16/16 [==============================] - 0s 3ms/step - loss: 1.2286
16/16 [==============================] - 0s 3ms/step - loss: 1.2338
16/16 [==============================] - 0s 2ms/step - loss: 1.2350
16/16 [==============================] - 0s 5ms/step - loss: 1.2352
16/16 [==============================] - 0s 2ms/step - loss: 1.2351
Epoch 25 of 60

Testing for epoch 25 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4927
16/16 [==============================] - 0s 2ms/step - loss: 0.7862
16/16 [==============================] - 0s 2ms/step - loss: 1.0138
16/16 [==============================] - 0s 3ms/step - loss: 1.1574
16/16 [==============================] - 0s 4ms/step - loss: 1.2143
16/16 [==============================] - 0s 4ms/step - loss: 1.2310
16/16 [==============================] - 0s 4ms/step - loss: 1.2357
16/16 [==============================] - 0s 4ms/step - loss: 1.2367
16/16 [==============================] - 0s 2ms/step - loss: 1.2368
16/16 [==============================] - 0s 6ms/step - loss: 1.2367

Testing for epoch 25 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4980
16/16 [==============================] - 0s 3ms/step - loss: 0.7804
16/16 [==============================] - 0s 4ms/step - loss: 0.9977
16/16 [==============================] - 0s 3ms/step - loss: 1.1341
16/16 [==============================] - 0s 2ms/step - loss: 1.1872
16/16 [==============================] - 0s 1ms/step - loss: 1.2024
16/16 [==============================] - 0s 2ms/step - loss: 1.2065
16/16 [==============================] - 0s 3ms/step - loss: 1.2073
16/16 [==============================] - 0s 2ms/step - loss: 1.2074
16/16 [==============================] - 0s 2ms/step - loss: 1.2072
Epoch 26 of 60

Testing for epoch 26 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4933
16/16 [==============================] - 0s 3ms/step - loss: 0.7833
16/16 [==============================] - 0s 3ms/step - loss: 1.0061
16/16 [==============================] - 0s 1ms/step - loss: 1.1456
16/16 [==============================] - 0s 2ms/step - loss: 1.1992
16/16 [==============================] - 0s 7ms/step - loss: 1.2142
16/16 [==============================] - 0s 4ms/step - loss: 1.2182
16/16 [==============================] - 0s 4ms/step - loss: 1.2190
16/16 [==============================] - 0s 2ms/step - loss: 1.2190
16/16 [==============================] - 0s 3ms/step - loss: 1.2189

Testing for epoch 26 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4841
16/16 [==============================] - 0s 4ms/step - loss: 0.7906
16/16 [==============================] - 0s 3ms/step - loss: 1.0218
16/16 [==============================] - 0s 5ms/step - loss: 1.1697
16/16 [==============================] - 0s 5ms/step - loss: 1.2263
16/16 [==============================] - 0s 5ms/step - loss: 1.2422
16/16 [==============================] - 0s 3ms/step - loss: 1.2464
16/16 [==============================] - 0s 2ms/step - loss: 1.2472
16/16 [==============================] - 0s 3ms/step - loss: 1.2473
16/16 [==============================] - 0s 2ms/step - loss: 1.2471
Epoch 27 of 60

Testing for epoch 27 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.4789
16/16 [==============================] - 0s 4ms/step - loss: 0.7909
16/16 [==============================] - 0s 3ms/step - loss: 1.0271
16/16 [==============================] - 0s 2ms/step - loss: 1.1784
16/16 [==============================] - 0s 3ms/step - loss: 1.2356
16/16 [==============================] - 0s 5ms/step - loss: 1.2517
16/16 [==============================] - 0s 5ms/step - loss: 1.2559
16/16 [==============================] - 0s 3ms/step - loss: 1.2567
16/16 [==============================] - 0s 2ms/step - loss: 1.2567
16/16 [==============================] - 0s 3ms/step - loss: 1.2565

Testing for epoch 27 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4756
16/16 [==============================] - 0s 2ms/step - loss: 0.7880
16/16 [==============================] - 0s 3ms/step - loss: 1.0241
16/16 [==============================] - 0s 5ms/step - loss: 1.1774
16/16 [==============================] - 0s 5ms/step - loss: 1.2353
16/16 [==============================] - 0s 2ms/step - loss: 1.2519
16/16 [==============================] - 0s 2ms/step - loss: 1.2562
16/16 [==============================] - 0s 3ms/step - loss: 1.2570
16/16 [==============================] - 0s 3ms/step - loss: 1.2570
16/16 [==============================] - 0s 2ms/step - loss: 1.2569
Epoch 28 of 60

Testing for epoch 28 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4639
16/16 [==============================] - 0s 3ms/step - loss: 0.7925
16/16 [==============================] - 0s 2ms/step - loss: 1.0440
16/16 [==============================] - 0s 4ms/step - loss: 1.2079
16/16 [==============================] - 0s 2ms/step - loss: 1.2700
16/16 [==============================] - 0s 2ms/step - loss: 1.2879
16/16 [==============================] - 0s 1ms/step - loss: 1.2925
16/16 [==============================] - 0s 2ms/step - loss: 1.2934
16/16 [==============================] - 0s 2ms/step - loss: 1.2934
16/16 [==============================] - 0s 2ms/step - loss: 1.2933

Testing for epoch 28 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.4594
16/16 [==============================] - 0s 2ms/step - loss: 0.7942
16/16 [==============================] - 0s 2ms/step - loss: 1.0466
16/16 [==============================] - 0s 6ms/step - loss: 1.2150
16/16 [==============================] - 0s 2ms/step - loss: 1.2792
16/16 [==============================] - 0s 2ms/step - loss: 1.2977
16/16 [==============================] - 0s 4ms/step - loss: 1.3026
16/16 [==============================] - 0s 3ms/step - loss: 1.3035
16/16 [==============================] - 0s 2ms/step - loss: 1.3035
16/16 [==============================] - 0s 2ms/step - loss: 1.3034
Epoch 29 of 60

Testing for epoch 29 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4454
16/16 [==============================] - 0s 2ms/step - loss: 0.8048
16/16 [==============================] - 0s 4ms/step - loss: 1.0695
16/16 [==============================] - 0s 2ms/step - loss: 1.2516
16/16 [==============================] - 0s 2ms/step - loss: 1.3212
16/16 [==============================] - 0s 2ms/step - loss: 1.3414
16/16 [==============================] - 0s 2ms/step - loss: 1.3468
16/16 [==============================] - 0s 5ms/step - loss: 1.3479
16/16 [==============================] - 0s 3ms/step - loss: 1.3480
16/16 [==============================] - 0s 3ms/step - loss: 1.3478

Testing for epoch 29 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4450
16/16 [==============================] - 0s 2ms/step - loss: 0.7978
16/16 [==============================] - 0s 2ms/step - loss: 1.0555
16/16 [==============================] - 0s 3ms/step - loss: 1.2361
16/16 [==============================] - 0s 7ms/step - loss: 1.3051
16/16 [==============================] - 0s 2ms/step - loss: 1.3252
16/16 [==============================] - 0s 3ms/step - loss: 1.3305
16/16 [==============================] - 0s 3ms/step - loss: 1.3316
16/16 [==============================] - 0s 3ms/step - loss: 1.3317
16/16 [==============================] - 0s 2ms/step - loss: 1.3315
Epoch 30 of 60

Testing for epoch 30 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4403
16/16 [==============================] - 0s 2ms/step - loss: 0.7940
16/16 [==============================] - 0s 3ms/step - loss: 1.0563
16/16 [==============================] - 0s 2ms/step - loss: 1.2366
16/16 [==============================] - 0s 3ms/step - loss: 1.3057
16/16 [==============================] - 0s 4ms/step - loss: 1.3259
16/16 [==============================] - 0s 3ms/step - loss: 1.3313
16/16 [==============================] - 0s 2ms/step - loss: 1.3323
16/16 [==============================] - 0s 2ms/step - loss: 1.3324
16/16 [==============================] - 0s 3ms/step - loss: 1.3323

Testing for epoch 30 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4254
16/16 [==============================] - 0s 2ms/step - loss: 0.7958
16/16 [==============================] - 0s 2ms/step - loss: 1.0896
16/16 [==============================] - 0s 2ms/step - loss: 1.2835
16/16 [==============================] - 0s 3ms/step - loss: 1.3604
16/16 [==============================] - 0s 2ms/step - loss: 1.3833
16/16 [==============================] - 0s 2ms/step - loss: 1.3895
16/16 [==============================] - 0s 2ms/step - loss: 1.3909
16/16 [==============================] - 0s 2ms/step - loss: 1.3911
16/16 [==============================] - 0s 2ms/step - loss: 1.3909
Epoch 31 of 60

Testing for epoch 31 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4204
16/16 [==============================] - 0s 4ms/step - loss: 0.7950
16/16 [==============================] - 0s 3ms/step - loss: 1.0973
16/16 [==============================] - 0s 1ms/step - loss: 1.2936
16/16 [==============================] - 0s 3ms/step - loss: 1.3723
16/16 [==============================] - 0s 2ms/step - loss: 1.3959
16/16 [==============================] - 0s 2ms/step - loss: 1.4024
16/16 [==============================] - 0s 2ms/step - loss: 1.4038
16/16 [==============================] - 0s 2ms/step - loss: 1.4039
16/16 [==============================] - 0s 2ms/step - loss: 1.4038

Testing for epoch 31 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.4172
16/16 [==============================] - 0s 2ms/step - loss: 0.7938
16/16 [==============================] - 0s 2ms/step - loss: 1.0884
16/16 [==============================] - 0s 4ms/step - loss: 1.2861
16/16 [==============================] - 0s 2ms/step - loss: 1.3650
16/16 [==============================] - 0s 4ms/step - loss: 1.3893
16/16 [==============================] - 0s 2ms/step - loss: 1.3959
16/16 [==============================] - 0s 2ms/step - loss: 1.3973
16/16 [==============================] - 0s 3ms/step - loss: 1.3975
16/16 [==============================] - 0s 3ms/step - loss: 1.3974
Epoch 32 of 60

Testing for epoch 32 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.4126
16/16 [==============================] - 0s 2ms/step - loss: 0.7962
16/16 [==============================] - 0s 2ms/step - loss: 1.1006
16/16 [==============================] - 0s 4ms/step - loss: 1.3002
16/16 [==============================] - 0s 5ms/step - loss: 1.3812
16/16 [==============================] - 0s 2ms/step - loss: 1.4061
16/16 [==============================] - 0s 3ms/step - loss: 1.4129
16/16 [==============================] - 0s 2ms/step - loss: 1.4144
16/16 [==============================] - 0s 2ms/step - loss: 1.4146
16/16 [==============================] - 0s 2ms/step - loss: 1.4145

Testing for epoch 32 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.4026
16/16 [==============================] - 0s 2ms/step - loss: 0.7967
16/16 [==============================] - 0s 2ms/step - loss: 1.1158
16/16 [==============================] - 0s 2ms/step - loss: 1.3182
16/16 [==============================] - 0s 4ms/step - loss: 1.4037
16/16 [==============================] - 0s 2ms/step - loss: 1.4302
16/16 [==============================] - 0s 1ms/step - loss: 1.4375
16/16 [==============================] - 0s 5ms/step - loss: 1.4391
16/16 [==============================] - 0s 3ms/step - loss: 1.4394
16/16 [==============================] - 0s 3ms/step - loss: 1.4393
Epoch 33 of 60

Testing for epoch 33 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 7ms/step - loss: 0.4047
16/16 [==============================] - 0s 3ms/step - loss: 0.7877
16/16 [==============================] - 0s 1ms/step - loss: 1.1006
16/16 [==============================] - 0s 3ms/step - loss: 1.2966
16/16 [==============================] - 0s 3ms/step - loss: 1.3797
16/16 [==============================] - 0s 3ms/step - loss: 1.4051
16/16 [==============================] - 0s 6ms/step - loss: 1.4120
16/16 [==============================] - 0s 2ms/step - loss: 1.4135
16/16 [==============================] - 0s 3ms/step - loss: 1.4137
16/16 [==============================] - 0s 2ms/step - loss: 1.4136

Testing for epoch 33 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.3921
16/16 [==============================] - 0s 2ms/step - loss: 0.7938
16/16 [==============================] - 0s 2ms/step - loss: 1.1268
16/16 [==============================] - 0s 3ms/step - loss: 1.3374
16/16 [==============================] - 0s 1ms/step - loss: 1.4280
16/16 [==============================] - 0s 4ms/step - loss: 1.4559
16/16 [==============================] - 0s 4ms/step - loss: 1.4634
16/16 [==============================] - 0s 5ms/step - loss: 1.4652
16/16 [==============================] - 0s 3ms/step - loss: 1.4655
16/16 [==============================] - 0s 2ms/step - loss: 1.4653
Epoch 34 of 60

Testing for epoch 34 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3848
16/16 [==============================] - 0s 2ms/step - loss: 0.7971
16/16 [==============================] - 0s 1ms/step - loss: 1.1415
16/16 [==============================] - 0s 3ms/step - loss: 1.3606
16/16 [==============================] - 0s 3ms/step - loss: 1.4528
16/16 [==============================] - 0s 5ms/step - loss: 1.4812
16/16 [==============================] - 0s 4ms/step - loss: 1.4889
16/16 [==============================] - 0s 2ms/step - loss: 1.4906
16/16 [==============================] - 0s 5ms/step - loss: 1.4909
16/16 [==============================] - 0s 3ms/step - loss: 1.4908

Testing for epoch 34 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3825
16/16 [==============================] - 0s 1ms/step - loss: 0.7917
16/16 [==============================] - 0s 2ms/step - loss: 1.1346
16/16 [==============================] - 0s 3ms/step - loss: 1.3555
16/16 [==============================] - 0s 5ms/step - loss: 1.4487
16/16 [==============================] - 0s 2ms/step - loss: 1.4774
16/16 [==============================] - 0s 2ms/step - loss: 1.4851
16/16 [==============================] - 0s 6ms/step - loss: 1.4869
16/16 [==============================] - 0s 3ms/step - loss: 1.4872
16/16 [==============================] - 0s 3ms/step - loss: 1.4871
Epoch 35 of 60

Testing for epoch 35 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3732
16/16 [==============================] - 0s 2ms/step - loss: 0.8010
16/16 [==============================] - 0s 2ms/step - loss: 1.1610
16/16 [==============================] - 0s 2ms/step - loss: 1.3931
16/16 [==============================] - 0s 3ms/step - loss: 1.4902
16/16 [==============================] - 0s 2ms/step - loss: 1.5198
16/16 [==============================] - 0s 2ms/step - loss: 1.5278
16/16 [==============================] - 0s 2ms/step - loss: 1.5296
16/16 [==============================] - 0s 2ms/step - loss: 1.5299
16/16 [==============================] - 0s 2ms/step - loss: 1.5297

Testing for epoch 35 index 2:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3728
16/16 [==============================] - 0s 2ms/step - loss: 0.7967
16/16 [==============================] - 0s 2ms/step - loss: 1.1524
16/16 [==============================] - 0s 3ms/step - loss: 1.3838
16/16 [==============================] - 0s 2ms/step - loss: 1.4805
16/16 [==============================] - 0s 2ms/step - loss: 1.5099
16/16 [==============================] - 0s 2ms/step - loss: 1.5177
16/16 [==============================] - 0s 2ms/step - loss: 1.5194
16/16 [==============================] - 0s 2ms/step - loss: 1.5197
16/16 [==============================] - 0s 1ms/step - loss: 1.5196
Epoch 36 of 60

Testing for epoch 36 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3665
16/16 [==============================] - 0s 2ms/step - loss: 0.7984
16/16 [==============================] - 0s 2ms/step - loss: 1.1643
16/16 [==============================] - 0s 3ms/step - loss: 1.4009
16/16 [==============================] - 0s 2ms/step - loss: 1.4986
16/16 [==============================] - 0s 6ms/step - loss: 1.5280
16/16 [==============================] - 0s 2ms/step - loss: 1.5356
16/16 [==============================] - 0s 2ms/step - loss: 1.5373
16/16 [==============================] - 0s 1ms/step - loss: 1.5376
16/16 [==============================] - 0s 3ms/step - loss: 1.5374

Testing for epoch 36 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3671
16/16 [==============================] - 0s 3ms/step - loss: 0.7990
16/16 [==============================] - 0s 3ms/step - loss: 1.1663
16/16 [==============================] - 0s 3ms/step - loss: 1.4039
16/16 [==============================] - 0s 4ms/step - loss: 1.5017
16/16 [==============================] - 0s 1ms/step - loss: 1.5308
16/16 [==============================] - 0s 1ms/step - loss: 1.5383
16/16 [==============================] - 0s 2ms/step - loss: 1.5399
16/16 [==============================] - 0s 5ms/step - loss: 1.5401
16/16 [==============================] - 0s 2ms/step - loss: 1.5400
Epoch 37 of 60

Testing for epoch 37 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 6ms/step - loss: 0.3622
16/16 [==============================] - 0s 4ms/step - loss: 0.8008
16/16 [==============================] - 0s 5ms/step - loss: 1.1776
16/16 [==============================] - 0s 3ms/step - loss: 1.4193
16/16 [==============================] - 0s 6ms/step - loss: 1.5173
16/16 [==============================] - 0s 2ms/step - loss: 1.5460
16/16 [==============================] - 0s 2ms/step - loss: 1.5534
16/16 [==============================] - 0s 5ms/step - loss: 1.5549
16/16 [==============================] - 0s 2ms/step - loss: 1.5551
16/16 [==============================] - 0s 2ms/step - loss: 1.5549

Testing for epoch 37 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3612
16/16 [==============================] - 0s 1ms/step - loss: 0.7991
16/16 [==============================] - 0s 2ms/step - loss: 1.1766
16/16 [==============================] - 0s 2ms/step - loss: 1.4187
16/16 [==============================] - 0s 1ms/step - loss: 1.5162
16/16 [==============================] - 0s 2ms/step - loss: 1.5445
16/16 [==============================] - 0s 3ms/step - loss: 1.5516
16/16 [==============================] - 0s 3ms/step - loss: 1.5531
16/16 [==============================] - 0s 2ms/step - loss: 1.5532
16/16 [==============================] - 0s 3ms/step - loss: 1.5530
Epoch 38 of 60

Testing for epoch 38 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3498
16/16 [==============================] - 0s 3ms/step - loss: 0.8090
16/16 [==============================] - 0s 2ms/step - loss: 1.2081
16/16 [==============================] - 0s 2ms/step - loss: 1.4613
16/16 [==============================] - 0s 3ms/step - loss: 1.5618
16/16 [==============================] - 0s 2ms/step - loss: 1.5905
16/16 [==============================] - 0s 3ms/step - loss: 1.5975
16/16 [==============================] - 0s 2ms/step - loss: 1.5989
16/16 [==============================] - 0s 2ms/step - loss: 1.5990
16/16 [==============================] - 0s 2ms/step - loss: 1.5988

Testing for epoch 38 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3539
16/16 [==============================] - 0s 2ms/step - loss: 0.8019
16/16 [==============================] - 0s 3ms/step - loss: 1.1879
16/16 [==============================] - 0s 2ms/step - loss: 1.4332
16/16 [==============================] - 0s 2ms/step - loss: 1.5296
16/16 [==============================] - 0s 3ms/step - loss: 1.5567
16/16 [==============================] - 0s 3ms/step - loss: 1.5633
16/16 [==============================] - 0s 2ms/step - loss: 1.5645
16/16 [==============================] - 0s 3ms/step - loss: 1.5645
16/16 [==============================] - 0s 3ms/step - loss: 1.5643
Epoch 39 of 60

Testing for epoch 39 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3542
16/16 [==============================] - 0s 4ms/step - loss: 0.8019
16/16 [==============================] - 0s 7ms/step - loss: 1.1910
16/16 [==============================] - 0s 2ms/step - loss: 1.4345
16/16 [==============================] - 0s 5ms/step - loss: 1.5283
16/16 [==============================] - 0s 4ms/step - loss: 1.5543
16/16 [==============================] - 0s 2ms/step - loss: 1.5604
16/16 [==============================] - 0s 3ms/step - loss: 1.5615
16/16 [==============================] - 0s 2ms/step - loss: 1.5615
16/16 [==============================] - 0s 4ms/step - loss: 1.5613

Testing for epoch 39 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.3511
16/16 [==============================] - 0s 4ms/step - loss: 0.8016
16/16 [==============================] - 0s 2ms/step - loss: 1.1962
16/16 [==============================] - 0s 5ms/step - loss: 1.4417
16/16 [==============================] - 0s 5ms/step - loss: 1.5355
16/16 [==============================] - 0s 5ms/step - loss: 1.5611
16/16 [==============================] - 0s 2ms/step - loss: 1.5670
16/16 [==============================] - 0s 1ms/step - loss: 1.5680
16/16 [==============================] - 0s 2ms/step - loss: 1.5680
16/16 [==============================] - 0s 4ms/step - loss: 1.5677
Epoch 40 of 60

Testing for epoch 40 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.3494
16/16 [==============================] - 0s 2ms/step - loss: 0.8101
16/16 [==============================] - 0s 1ms/step - loss: 1.2184
16/16 [==============================] - 0s 2ms/step - loss: 1.4680
16/16 [==============================] - 0s 4ms/step - loss: 1.5619
16/16 [==============================] - 0s 2ms/step - loss: 1.5870
16/16 [==============================] - 0s 2ms/step - loss: 1.5928
16/16 [==============================] - 0s 4ms/step - loss: 1.5937
16/16 [==============================] - 0s 5ms/step - loss: 1.5936
16/16 [==============================] - 0s 7ms/step - loss: 1.5934

Testing for epoch 40 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3483
16/16 [==============================] - 0s 4ms/step - loss: 0.8050
16/16 [==============================] - 0s 1ms/step - loss: 1.2115
16/16 [==============================] - 0s 4ms/step - loss: 1.4578
16/16 [==============================] - 0s 3ms/step - loss: 1.5492
16/16 [==============================] - 0s 4ms/step - loss: 1.5733
16/16 [==============================] - 0s 2ms/step - loss: 1.5787
16/16 [==============================] - 0s 2ms/step - loss: 1.5795
16/16 [==============================] - 0s 2ms/step - loss: 1.5793
16/16 [==============================] - 0s 5ms/step - loss: 1.5791
Epoch 41 of 60

Testing for epoch 41 index 1:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3408
16/16 [==============================] - 0s 1ms/step - loss: 0.8125
16/16 [==============================] - 0s 2ms/step - loss: 1.2373
16/16 [==============================] - 0s 3ms/step - loss: 1.4903
16/16 [==============================] - 0s 3ms/step - loss: 1.5828
16/16 [==============================] - 0s 2ms/step - loss: 1.6067
16/16 [==============================] - 0s 7ms/step - loss: 1.6119
16/16 [==============================] - 0s 3ms/step - loss: 1.6126
16/16 [==============================] - 0s 2ms/step - loss: 1.6125
16/16 [==============================] - 0s 2ms/step - loss: 1.6122

Testing for epoch 41 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3501
16/16 [==============================] - 0s 2ms/step - loss: 0.8043
16/16 [==============================] - 0s 2ms/step - loss: 1.2142
16/16 [==============================] - 0s 1ms/step - loss: 1.4562
16/16 [==============================] - 0s 5ms/step - loss: 1.5435
16/16 [==============================] - 0s 1ms/step - loss: 1.5656
16/16 [==============================] - 0s 2ms/step - loss: 1.5703
16/16 [==============================] - 0s 2ms/step - loss: 1.5709
16/16 [==============================] - 0s 4ms/step - loss: 1.5707
16/16 [==============================] - 0s 3ms/step - loss: 1.5704
Epoch 42 of 60

Testing for epoch 42 index 1:
32/32 [==============================] - 0s 6ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3413
16/16 [==============================] - 0s 2ms/step - loss: 0.8173
16/16 [==============================] - 0s 2ms/step - loss: 1.2480
16/16 [==============================] - 0s 2ms/step - loss: 1.4996
16/16 [==============================] - 0s 2ms/step - loss: 1.5888
16/16 [==============================] - 0s 3ms/step - loss: 1.6111
16/16 [==============================] - 0s 3ms/step - loss: 1.6157
16/16 [==============================] - 0s 6ms/step - loss: 1.6162
16/16 [==============================] - 0s 3ms/step - loss: 1.6160
16/16 [==============================] - 0s 6ms/step - loss: 1.6158

Testing for epoch 42 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.3346
16/16 [==============================] - 0s 5ms/step - loss: 0.8212
16/16 [==============================] - 0s 2ms/step - loss: 1.2618
16/16 [==============================] - 0s 3ms/step - loss: 1.5179
16/16 [==============================] - 0s 2ms/step - loss: 1.6076
16/16 [==============================] - 0s 3ms/step - loss: 1.6296
16/16 [==============================] - 0s 2ms/step - loss: 1.6341
16/16 [==============================] - 0s 2ms/step - loss: 1.6345
16/16 [==============================] - 0s 4ms/step - loss: 1.6343
16/16 [==============================] - 0s 2ms/step - loss: 1.6340
Epoch 43 of 60

Testing for epoch 43 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.3391
16/16 [==============================] - 0s 2ms/step - loss: 0.8187
16/16 [==============================] - 0s 2ms/step - loss: 1.2563
16/16 [==============================] - 0s 2ms/step - loss: 1.5064
16/16 [==============================] - 0s 2ms/step - loss: 1.5925
16/16 [==============================] - 0s 3ms/step - loss: 1.6131
16/16 [==============================] - 0s 1ms/step - loss: 1.6172
16/16 [==============================] - 0s 3ms/step - loss: 1.6175
16/16 [==============================] - 0s 4ms/step - loss: 1.6172
16/16 [==============================] - 0s 974us/step - loss: 1.6169

Testing for epoch 43 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3452
16/16 [==============================] - 0s 2ms/step - loss: 0.8050
16/16 [==============================] - 0s 2ms/step - loss: 1.2251
16/16 [==============================] - 0s 5ms/step - loss: 1.4628
16/16 [==============================] - 0s 2ms/step - loss: 1.5436
16/16 [==============================] - 0s 2ms/step - loss: 1.5625
16/16 [==============================] - 0s 4ms/step - loss: 1.5661
16/16 [==============================] - 0s 3ms/step - loss: 1.5662
16/16 [==============================] - 0s 2ms/step - loss: 1.5659
16/16 [==============================] - 0s 7ms/step - loss: 1.5656
Epoch 44 of 60

Testing for epoch 44 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3352
16/16 [==============================] - 0s 2ms/step - loss: 0.8221
16/16 [==============================] - 0s 2ms/step - loss: 1.2722
16/16 [==============================] - 0s 2ms/step - loss: 1.5228
16/16 [==============================] - 0s 2ms/step - loss: 1.6068
16/16 [==============================] - 0s 3ms/step - loss: 1.6261
16/16 [==============================] - 0s 2ms/step - loss: 1.6297
16/16 [==============================] - 0s 3ms/step - loss: 1.6299
16/16 [==============================] - 0s 3ms/step - loss: 1.6296
16/16 [==============================] - 0s 3ms/step - loss: 1.6293

Testing for epoch 44 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3308
16/16 [==============================] - 0s 3ms/step - loss: 0.8226
16/16 [==============================] - 0s 3ms/step - loss: 1.2810
16/16 [==============================] - 0s 2ms/step - loss: 1.5342
16/16 [==============================] - 0s 2ms/step - loss: 1.6183
16/16 [==============================] - 0s 3ms/step - loss: 1.6373
16/16 [==============================] - 0s 4ms/step - loss: 1.6408
16/16 [==============================] - 0s 2ms/step - loss: 1.6409
16/16 [==============================] - 0s 3ms/step - loss: 1.6406
16/16 [==============================] - 0s 2ms/step - loss: 1.6403
Epoch 45 of 60

Testing for epoch 45 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3340
16/16 [==============================] - 0s 2ms/step - loss: 0.8196
16/16 [==============================] - 0s 2ms/step - loss: 1.2742
16/16 [==============================] - 0s 1ms/step - loss: 1.5204
16/16 [==============================] - 0s 3ms/step - loss: 1.6008
16/16 [==============================] - 0s 3ms/step - loss: 1.6185
16/16 [==============================] - 0s 2ms/step - loss: 1.6215
16/16 [==============================] - 0s 2ms/step - loss: 1.6215
16/16 [==============================] - 0s 4ms/step - loss: 1.6211
16/16 [==============================] - 0s 3ms/step - loss: 1.6208

Testing for epoch 45 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 6ms/step - loss: 0.3347
16/16 [==============================] - 0s 4ms/step - loss: 0.8189
16/16 [==============================] - 0s 1ms/step - loss: 1.2748
16/16 [==============================] - 0s 2ms/step - loss: 1.5200
16/16 [==============================] - 0s 2ms/step - loss: 1.5993
16/16 [==============================] - 0s 2ms/step - loss: 1.6164
16/16 [==============================] - 0s 3ms/step - loss: 1.6193
16/16 [==============================] - 0s 3ms/step - loss: 1.6193
16/16 [==============================] - 0s 4ms/step - loss: 1.6189
16/16 [==============================] - 0s 5ms/step - loss: 1.6185
Epoch 46 of 60

Testing for epoch 46 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3249
16/16 [==============================] - 0s 1ms/step - loss: 0.8266
16/16 [==============================] - 0s 2ms/step - loss: 1.3036
16/16 [==============================] - 0s 2ms/step - loss: 1.5563
16/16 [==============================] - 0s 2ms/step - loss: 1.6371
16/16 [==============================] - 0s 2ms/step - loss: 1.6542
16/16 [==============================] - 0s 2ms/step - loss: 1.6570
16/16 [==============================] - 0s 2ms/step - loss: 1.6569
16/16 [==============================] - 0s 4ms/step - loss: 1.6565
16/16 [==============================] - 0s 3ms/step - loss: 1.6562

Testing for epoch 46 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3182
16/16 [==============================] - 0s 2ms/step - loss: 0.8330
16/16 [==============================] - 0s 2ms/step - loss: 1.3264
16/16 [==============================] - 0s 6ms/step - loss: 1.5867
16/16 [==============================] - 0s 2ms/step - loss: 1.6693
16/16 [==============================] - 0s 5ms/step - loss: 1.6866
16/16 [==============================] - 0s 3ms/step - loss: 1.6895
16/16 [==============================] - 0s 2ms/step - loss: 1.6894
16/16 [==============================] - 0s 3ms/step - loss: 1.6890
16/16 [==============================] - 0s 2ms/step - loss: 1.6886
Epoch 47 of 60

Testing for epoch 47 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3226
16/16 [==============================] - 0s 2ms/step - loss: 0.8315
16/16 [==============================] - 0s 2ms/step - loss: 1.3219
16/16 [==============================] - 0s 2ms/step - loss: 1.5763
16/16 [==============================] - 0s 2ms/step - loss: 1.6561
16/16 [==============================] - 0s 2ms/step - loss: 1.6723
16/16 [==============================] - 0s 2ms/step - loss: 1.6749
16/16 [==============================] - 0s 2ms/step - loss: 1.6748
16/16 [==============================] - 0s 5ms/step - loss: 1.6743
16/16 [==============================] - 0s 2ms/step - loss: 1.6740

Testing for epoch 47 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3167
16/16 [==============================] - 0s 2ms/step - loss: 0.8316
16/16 [==============================] - 0s 2ms/step - loss: 1.3295
16/16 [==============================] - 0s 1ms/step - loss: 1.5863
16/16 [==============================] - 0s 2ms/step - loss: 1.6660
16/16 [==============================] - 0s 1ms/step - loss: 1.6819
16/16 [==============================] - 0s 2ms/step - loss: 1.6842
16/16 [==============================] - 0s 2ms/step - loss: 1.6840
16/16 [==============================] - 0s 4ms/step - loss: 1.6835
16/16 [==============================] - 0s 2ms/step - loss: 1.6832
Epoch 48 of 60

Testing for epoch 48 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3119
16/16 [==============================] - 0s 5ms/step - loss: 0.8392
16/16 [==============================] - 0s 6ms/step - loss: 1.3550
16/16 [==============================] - 0s 3ms/step - loss: 1.6180
16/16 [==============================] - 0s 3ms/step - loss: 1.6989
16/16 [==============================] - 0s 2ms/step - loss: 1.7149
16/16 [==============================] - 0s 3ms/step - loss: 1.7173
16/16 [==============================] - 0s 3ms/step - loss: 1.7171
16/16 [==============================] - 0s 2ms/step - loss: 1.7167
16/16 [==============================] - 0s 2ms/step - loss: 1.7164

Testing for epoch 48 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3162
16/16 [==============================] - 0s 2ms/step - loss: 0.8311
16/16 [==============================] - 0s 2ms/step - loss: 1.3363
16/16 [==============================] - 0s 1ms/step - loss: 1.5927
16/16 [==============================] - 0s 2ms/step - loss: 1.6708
16/16 [==============================] - 0s 2ms/step - loss: 1.6859
16/16 [==============================] - 0s 4ms/step - loss: 1.6881
16/16 [==============================] - 0s 3ms/step - loss: 1.6878
16/16 [==============================] - 0s 4ms/step - loss: 1.6873
16/16 [==============================] - 0s 1ms/step - loss: 1.6870
Epoch 49 of 60

Testing for epoch 49 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3204
16/16 [==============================] - 0s 3ms/step - loss: 0.8249
16/16 [==============================] - 0s 1ms/step - loss: 1.3205
16/16 [==============================] - 0s 2ms/step - loss: 1.5681
16/16 [==============================] - 0s 2ms/step - loss: 1.6424
16/16 [==============================] - 0s 2ms/step - loss: 1.6563
16/16 [==============================] - 0s 3ms/step - loss: 1.6582
16/16 [==============================] - 0s 1ms/step - loss: 1.6578
16/16 [==============================] - 0s 2ms/step - loss: 1.6573
16/16 [==============================] - 0s 2ms/step - loss: 1.6570

Testing for epoch 49 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3063
16/16 [==============================] - 0s 2ms/step - loss: 0.8396
16/16 [==============================] - 0s 1ms/step - loss: 1.3692
16/16 [==============================] - 0s 1ms/step - loss: 1.6317
16/16 [==============================] - 0s 3ms/step - loss: 1.7103
16/16 [==============================] - 0s 1ms/step - loss: 1.7250
16/16 [==============================] - 0s 4ms/step - loss: 1.7270
16/16 [==============================] - 0s 3ms/step - loss: 1.7266
16/16 [==============================] - 0s 2ms/step - loss: 1.7261
16/16 [==============================] - 0s 1ms/step - loss: 1.7257
Epoch 50 of 60

Testing for epoch 50 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3100
16/16 [==============================] - 0s 2ms/step - loss: 0.8399
16/16 [==============================] - 0s 2ms/step - loss: 1.3694
16/16 [==============================] - 0s 8ms/step - loss: 1.6283
16/16 [==============================] - 0s 3ms/step - loss: 1.7049
16/16 [==============================] - 0s 2ms/step - loss: 1.7190
16/16 [==============================] - 0s 2ms/step - loss: 1.7209
16/16 [==============================] - 0s 2ms/step - loss: 1.7205
16/16 [==============================] - 0s 2ms/step - loss: 1.7200
16/16 [==============================] - 0s 2ms/step - loss: 1.7196

Testing for epoch 50 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3084
16/16 [==============================] - 0s 2ms/step - loss: 0.8336
16/16 [==============================] - 0s 5ms/step - loss: 1.3600
16/16 [==============================] - 0s 2ms/step - loss: 1.6163
16/16 [==============================] - 0s 2ms/step - loss: 1.6916
16/16 [==============================] - 0s 4ms/step - loss: 1.7050
16/16 [==============================] - 0s 2ms/step - loss: 1.7067
16/16 [==============================] - 0s 4ms/step - loss: 1.7062
16/16 [==============================] - 0s 1ms/step - loss: 1.7057
16/16 [==============================] - 0s 4ms/step - loss: 1.7053
Epoch 51 of 60

Testing for epoch 51 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.3022
16/16 [==============================] - 0s 3ms/step - loss: 0.8367
16/16 [==============================] - 0s 2ms/step - loss: 1.3745
16/16 [==============================] - 0s 2ms/step - loss: 1.6329
16/16 [==============================] - 0s 2ms/step - loss: 1.7078
16/16 [==============================] - 0s 3ms/step - loss: 1.7207
16/16 [==============================] - 0s 2ms/step - loss: 1.7222
16/16 [==============================] - 0s 2ms/step - loss: 1.7217
16/16 [==============================] - 0s 1ms/step - loss: 1.7212
16/16 [==============================] - 0s 2ms/step - loss: 1.7208

Testing for epoch 51 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3056
16/16 [==============================] - 0s 2ms/step - loss: 0.8330
16/16 [==============================] - 0s 1ms/step - loss: 1.3665
16/16 [==============================] - 0s 3ms/step - loss: 1.6225
16/16 [==============================] - 0s 2ms/step - loss: 1.6962
16/16 [==============================] - 0s 2ms/step - loss: 1.7089
16/16 [==============================] - 0s 6ms/step - loss: 1.7103
16/16 [==============================] - 0s 1ms/step - loss: 1.7099
16/16 [==============================] - 0s 3ms/step - loss: 1.7093
16/16 [==============================] - 0s 2ms/step - loss: 1.7089
Epoch 52 of 60

Testing for epoch 52 index 1:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2967
16/16 [==============================] - 0s 2ms/step - loss: 0.8448
16/16 [==============================] - 0s 2ms/step - loss: 1.4031
16/16 [==============================] - 0s 4ms/step - loss: 1.6685
16/16 [==============================] - 0s 3ms/step - loss: 1.7441
16/16 [==============================] - 0s 3ms/step - loss: 1.7570
16/16 [==============================] - 0s 1ms/step - loss: 1.7585
16/16 [==============================] - 0s 3ms/step - loss: 1.7580
16/16 [==============================] - 0s 3ms/step - loss: 1.7575
16/16 [==============================] - 0s 5ms/step - loss: 1.7571

Testing for epoch 52 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.3008
16/16 [==============================] - 0s 3ms/step - loss: 0.8372
16/16 [==============================] - 0s 1ms/step - loss: 1.3858
16/16 [==============================] - 0s 6ms/step - loss: 1.6461
16/16 [==============================] - 0s 2ms/step - loss: 1.7197
16/16 [==============================] - 0s 4ms/step - loss: 1.7321
16/16 [==============================] - 0s 4ms/step - loss: 1.7334
16/16 [==============================] - 0s 2ms/step - loss: 1.7329
16/16 [==============================] - 0s 3ms/step - loss: 1.7324
16/16 [==============================] - 0s 2ms/step - loss: 1.7320
Epoch 53 of 60

Testing for epoch 53 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2988
16/16 [==============================] - 0s 2ms/step - loss: 0.8384
16/16 [==============================] - 0s 2ms/step - loss: 1.3929
16/16 [==============================] - 0s 4ms/step - loss: 1.6531
16/16 [==============================] - 0s 3ms/step - loss: 1.7258
16/16 [==============================] - 0s 4ms/step - loss: 1.7378
16/16 [==============================] - 0s 4ms/step - loss: 1.7390
16/16 [==============================] - 0s 7ms/step - loss: 1.7384
16/16 [==============================] - 0s 2ms/step - loss: 1.7379
16/16 [==============================] - 0s 8ms/step - loss: 1.7375

Testing for epoch 53 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.3009
16/16 [==============================] - 0s 4ms/step - loss: 0.8358
16/16 [==============================] - 0s 3ms/step - loss: 1.3880
16/16 [==============================] - 0s 5ms/step - loss: 1.6464
16/16 [==============================] - 0s 2ms/step - loss: 1.7183
16/16 [==============================] - 0s 2ms/step - loss: 1.7300
16/16 [==============================] - 0s 4ms/step - loss: 1.7312
16/16 [==============================] - 0s 1ms/step - loss: 1.7306
16/16 [==============================] - 0s 3ms/step - loss: 1.7300
16/16 [==============================] - 0s 3ms/step - loss: 1.7296
Epoch 54 of 60

Testing for epoch 54 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.3016
16/16 [==============================] - 0s 4ms/step - loss: 0.8324
16/16 [==============================] - 0s 2ms/step - loss: 1.3805
16/16 [==============================] - 0s 3ms/step - loss: 1.6337
16/16 [==============================] - 0s 2ms/step - loss: 1.7028
16/16 [==============================] - 0s 5ms/step - loss: 1.7136
16/16 [==============================] - 0s 2ms/step - loss: 1.7145
16/16 [==============================] - 0s 5ms/step - loss: 1.7139
16/16 [==============================] - 0s 4ms/step - loss: 1.7133
16/16 [==============================] - 0s 1ms/step - loss: 1.7128

Testing for epoch 54 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.2988
16/16 [==============================] - 0s 1ms/step - loss: 0.8283
16/16 [==============================] - 0s 3ms/step - loss: 1.3789
16/16 [==============================] - 0s 3ms/step - loss: 1.6333
16/16 [==============================] - 0s 2ms/step - loss: 1.7025
16/16 [==============================] - 0s 2ms/step - loss: 1.7133
16/16 [==============================] - 0s 5ms/step - loss: 1.7142
16/16 [==============================] - 0s 2ms/step - loss: 1.7136
16/16 [==============================] - 0s 3ms/step - loss: 1.7130
16/16 [==============================] - 0s 2ms/step - loss: 1.7126
Epoch 55 of 60

Testing for epoch 55 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2896
16/16 [==============================] - 0s 3ms/step - loss: 0.8441
16/16 [==============================] - 0s 5ms/step - loss: 1.4249
16/16 [==============================] - 0s 5ms/step - loss: 1.6910
16/16 [==============================] - 0s 5ms/step - loss: 1.7626
16/16 [==============================] - 0s 3ms/step - loss: 1.7737
16/16 [==============================] - 0s 3ms/step - loss: 1.7747
16/16 [==============================] - 0s 2ms/step - loss: 1.7740
16/16 [==============================] - 0s 2ms/step - loss: 1.7734
16/16 [==============================] - 0s 5ms/step - loss: 1.7730

Testing for epoch 55 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2825
16/16 [==============================] - 0s 2ms/step - loss: 0.8537
16/16 [==============================] - 0s 2ms/step - loss: 1.4556
16/16 [==============================] - 0s 4ms/step - loss: 1.7317
16/16 [==============================] - 0s 2ms/step - loss: 1.8057
16/16 [==============================] - 0s 2ms/step - loss: 1.8172
16/16 [==============================] - 0s 2ms/step - loss: 1.8182
16/16 [==============================] - 0s 3ms/step - loss: 1.8176
16/16 [==============================] - 0s 1ms/step - loss: 1.8170
16/16 [==============================] - 0s 2ms/step - loss: 1.8166
Epoch 56 of 60

Testing for epoch 56 index 1:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2832
16/16 [==============================] - 0s 1ms/step - loss: 0.8491
16/16 [==============================] - 0s 2ms/step - loss: 1.4449
16/16 [==============================] - 0s 4ms/step - loss: 1.7155
16/16 [==============================] - 0s 2ms/step - loss: 1.7872
16/16 [==============================] - 0s 5ms/step - loss: 1.7980
16/16 [==============================] - 0s 3ms/step - loss: 1.7988
16/16 [==============================] - 0s 2ms/step - loss: 1.7981
16/16 [==============================] - 0s 3ms/step - loss: 1.7975
16/16 [==============================] - 0s 2ms/step - loss: 1.7971

Testing for epoch 56 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2828
16/16 [==============================] - 0s 5ms/step - loss: 0.8499
16/16 [==============================] - 0s 3ms/step - loss: 1.4457
16/16 [==============================] - 0s 5ms/step - loss: 1.7179
16/16 [==============================] - 0s 3ms/step - loss: 1.7897
16/16 [==============================] - 0s 4ms/step - loss: 1.8006
16/16 [==============================] - 0s 3ms/step - loss: 1.8014
16/16 [==============================] - 0s 3ms/step - loss: 1.8007
16/16 [==============================] - 0s 1ms/step - loss: 1.8001
16/16 [==============================] - 0s 2ms/step - loss: 1.7997
Epoch 57 of 60

Testing for epoch 57 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.2832
16/16 [==============================] - 0s 4ms/step - loss: 0.8528
16/16 [==============================] - 0s 4ms/step - loss: 1.4512
16/16 [==============================] - 0s 3ms/step - loss: 1.7221
16/16 [==============================] - 0s 2ms/step - loss: 1.7928
16/16 [==============================] - 0s 2ms/step - loss: 1.8033
16/16 [==============================] - 0s 2ms/step - loss: 1.8041
16/16 [==============================] - 0s 2ms/step - loss: 1.8034
16/16 [==============================] - 0s 3ms/step - loss: 1.8028
16/16 [==============================] - 0s 3ms/step - loss: 1.8024

Testing for epoch 57 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 6ms/step - loss: 0.2773
16/16 [==============================] - 0s 3ms/step - loss: 0.8588
16/16 [==============================] - 0s 8ms/step - loss: 1.4717
16/16 [==============================] - 0s 2ms/step - loss: 1.7487
16/16 [==============================] - 0s 2ms/step - loss: 1.8205
16/16 [==============================] - 0s 2ms/step - loss: 1.8308
16/16 [==============================] - 0s 3ms/step - loss: 1.8315
16/16 [==============================] - 0s 6ms/step - loss: 1.8308
16/16 [==============================] - 0s 2ms/step - loss: 1.8302
16/16 [==============================] - 0s 4ms/step - loss: 1.8298
Epoch 58 of 60

Testing for epoch 58 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2864
16/16 [==============================] - 0s 5ms/step - loss: 0.8476
16/16 [==============================] - 0s 3ms/step - loss: 1.4394
16/16 [==============================] - 0s 3ms/step - loss: 1.7031
16/16 [==============================] - 0s 3ms/step - loss: 1.7705
16/16 [==============================] - 0s 3ms/step - loss: 1.7798
16/16 [==============================] - 0s 1ms/step - loss: 1.7803
16/16 [==============================] - 0s 2ms/step - loss: 1.7795
16/16 [==============================] - 0s 2ms/step - loss: 1.7789
16/16 [==============================] - 0s 3ms/step - loss: 1.7785

Testing for epoch 58 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2824
16/16 [==============================] - 0s 3ms/step - loss: 0.8560
16/16 [==============================] - 0s 2ms/step - loss: 1.4649
16/16 [==============================] - 0s 2ms/step - loss: 1.7358
16/16 [==============================] - 0s 4ms/step - loss: 1.8048
16/16 [==============================] - 0s 4ms/step - loss: 1.8142
16/16 [==============================] - 0s 3ms/step - loss: 1.8147
16/16 [==============================] - 0s 6ms/step - loss: 1.8139
16/16 [==============================] - 0s 3ms/step - loss: 1.8132
16/16 [==============================] - 0s 3ms/step - loss: 1.8128
Epoch 59 of 60

Testing for epoch 59 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.2801
16/16 [==============================] - 0s 2ms/step - loss: 0.8529
16/16 [==============================] - 0s 2ms/step - loss: 1.4596
16/16 [==============================] - 0s 3ms/step - loss: 1.7269
16/16 [==============================] - 0s 2ms/step - loss: 1.7941
16/16 [==============================] - 0s 4ms/step - loss: 1.8031
16/16 [==============================] - 0s 3ms/step - loss: 1.8035
16/16 [==============================] - 0s 1ms/step - loss: 1.8027
16/16 [==============================] - 0s 2ms/step - loss: 1.8021
16/16 [==============================] - 0s 3ms/step - loss: 1.8017

Testing for epoch 59 index 2:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.2731
16/16 [==============================] - 0s 2ms/step - loss: 0.8589
16/16 [==============================] - 0s 2ms/step - loss: 1.4829
16/16 [==============================] - 0s 2ms/step - loss: 1.7572
16/16 [==============================] - 0s 3ms/step - loss: 1.8257
16/16 [==============================] - 0s 5ms/step - loss: 1.8347
16/16 [==============================] - 0s 3ms/step - loss: 1.8351
16/16 [==============================] - 0s 3ms/step - loss: 1.8343
16/16 [==============================] - 0s 2ms/step - loss: 1.8336
16/16 [==============================] - 0s 2ms/step - loss: 1.8332
Epoch 60 of 60

Testing for epoch 60 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2747
16/16 [==============================] - 0s 6ms/step - loss: 0.8554
16/16 [==============================] - 0s 3ms/step - loss: 1.4691
16/16 [==============================] - 0s 2ms/step - loss: 1.7365
16/16 [==============================] - 0s 2ms/step - loss: 1.8025
16/16 [==============================] - 0s 5ms/step - loss: 1.8110
16/16 [==============================] - 0s 4ms/step - loss: 1.8113
16/16 [==============================] - 0s 2ms/step - loss: 1.8104
16/16 [==============================] - 0s 3ms/step - loss: 1.8098
16/16 [==============================] - 0s 7ms/step - loss: 1.8094

Testing for epoch 60 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2712
16/16 [==============================] - 0s 6ms/step - loss: 0.8646
16/16 [==============================] - 0s 8ms/step - loss: 1.4940
16/16 [==============================] - 0s 6ms/step - loss: 1.7674
16/16 [==============================] - 0s 2ms/step - loss: 1.8343
16/16 [==============================] - 0s 2ms/step - loss: 1.8428
16/16 [==============================] - 0s 2ms/step - loss: 1.8429
16/16 [==============================] - 0s 3ms/step - loss: 1.8421
16/16 [==============================] - 0s 3ms/step - loss: 1.8414
16/16 [==============================] - 0s 4ms/step - loss: 1.8409
32/32 [==============================] - 0s 2ms/step

outlier_MO_GAAL_one = list(clf.labels_)

outlier_MO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_MO_GAAL_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_MO_GAAL_one)

_conf.conf("MO-GAAL (Liu et al., 2019)")

Accuracy: 0.949
Precision: 0.968
Recall: 0.979
F1 Score: 0.973

LSCP

detectors = [KNN(), LOF(), OCSVM()]
clf = LSCP(detectors,contamination=0.05, random_state=77)
clf.fit(_df[['x', 'y']])
_df['LSCP_clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/pyod/models/lscp.py:382: UserWarning: The number of histogram bins is greater than the number of classifiers, reducing n_bins to n_clf.
  warnings.warn(
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())

outlier_LSCP_one = list(clf.labels_)

outlier_LSCP_one = list(map(lambda x: 1 if x==0  else -1,outlier_LSCP_one))

_conf = Conf_matrx(outlier_true_one_1,outlier_LSCP_one)

_conf.conf("LSCP (Zhao et al., 2019)")

Accuracy: 0.985
Precision: 0.992
Recall: 0.993
F1 Score: 0.992

Orbit

np.random.seed(1212)
epsilon = np.around(np.random.normal(size=1000),15)
signal = np.random.choice(np.concatenate((np.random.uniform(-7, -5, 25).round(15), np.random.uniform(5, 7, 25).round(15), np.repeat(0, 950))), 1000)
eta = signal + epsilon

np.random.seed(777)
pi=np.pi
n=1000
ang=np.linspace(-pi,pi-2*pi/n,n)
r=5+np.cos(np.linspace(0,12*pi,n))
vx=r*np.cos(ang)
vy=r*np.sin(ang)
f1=10*np.sin(np.linspace(0,6*pi,n))
f = f1 + eta

_df = pd.DataFrame({'x' : vx, 'y' : vy, 'f' : f})

outlier_true_one = signal.copy()

outlier_true_one = list(map(lambda x: -1 if x!=0 else 1,outlier_true_one))

GODE

_Orbit = Orbit(_df)

_Orbit.get_distance()

100%|██████████| 1000/1000 [00:03<00:00, 265.48it/s]

_Orbit.get_weightmatrix(theta=(_Orbit.D[_Orbit.D>0].mean()),kappa=2500) 

_Orbit.fit(sd=15,ref=20)

outlier_simul_one = (_Orbit.df['Residual']**2).tolist()

sorted_data = sorted(outlier_simul_one,reverse=True)
index = int(len(sorted_data) * 0.05)
threshold = sorted_data[index]
outlier_simul_one = list(map(lambda x: -1 if x > threshold else 1,outlier_simul_one))

outlier_simul_one.count(1)

950

outlier_simul_one.count(-1)

50

_conf = Conf_matrx(outlier_true_one,outlier_simul_one)

_conf.conf("GODE")

Accuracy: 0.997
Precision: 0.999
Recall: 0.998
F1 Score: 0.998

LOF

np.random.seed(77)
clf = LocalOutlierFactor(contamination=0.05)

_conf = Conf_matrx(outlier_true_one,clf.fit_predict(_df))

_conf.conf("LOF (Breunig et al., 2000)")

Accuracy: 0.963
Precision: 0.981
Recall: 0.980
F1 Score: 0.981

KNN

np.random.seed(77)
clf = KNN(contamination=0.05)
clf.fit(_df[['x', 'y','f']])
_df['knn_clf'] = clf.labels_

outlier_KNN_one = list(clf.labels_)

outlier_KNN_one = list(map(lambda x: 1 if x==0  else -1,outlier_KNN_one))

_conf = Conf_matrx(outlier_true_one,outlier_KNN_one)

_conf.conf("kNN (Ramaswamy et al., 2000)")

Accuracy: 0.995
Precision: 0.998
Recall: 0.997
F1 Score: 0.997

CBLOF

clf = CBLOF(contamination=0.05,random_state=77)
clf.fit(_df[['x', 'y','f']])
_df['CBLOF_Clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning
  super()._check_params_vs_input(X, default_n_init=10)

outlier_CBLOF_one = list(clf.labels_)

outlier_CBLOF_one = list(map(lambda x: 1 if x==0  else -1,outlier_CBLOF_one))

_conf = Conf_matrx(outlier_true_one,outlier_CBLOF_one)

_conf.conf("CBLOF (He et al., 2003)")

Accuracy: 0.923
Precision: 0.960
Recall: 0.959
F1 Score: 0.959

OCSVM

np.random.seed(77)
clf = svm.OneClassSVM(nu=0.05)

clf.fit(_df)

OneClassSVM(nu=0.05)

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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outlier_OSVM_one = list(clf.predict(_df))

_conf = Conf_matrx(outlier_true_one,outlier_OSVM_one)

_conf.conf("OCSVM (Sch ̈olkopf et al., 2001)")

Accuracy: 0.966
Precision: 0.984
Recall: 0.980
F1 Score: 0.982

MCD

clf = MCD(contamination=0.05 , random_state = 77)
clf.fit(_df[['x', 'y','f']])
_df['MCD_clf'] = clf.labels_

outlier_MCD_one = list(clf.labels_)

outlier_MCD_one = list(map(lambda x: 1 if x==0  else -1,outlier_MCD_one))

_conf = Conf_matrx(outlier_true_one,outlier_MCD_one)

_conf.conf("MCD (Hardin and Rocke, 2004)")

Accuracy: 0.921
Precision: 0.959
Recall: 0.958
F1 Score: 0.958

Feature Bagging

clf = FeatureBagging(contamination=0.05, random_state=77)
clf.fit(_df[['x', 'y','f']])
_df['FeatureBagging_clf'] = clf.labels_

outlier_FeatureBagging_one = list(clf.labels_)

outlier_FeatureBagging_one = list(map(lambda x: 1 if x==0  else -1,outlier_FeatureBagging_one))

_conf = Conf_matrx(outlier_true_one,outlier_FeatureBagging_one)

_conf.conf("Feature Bagging (Lazarevic and Kumar, 2005)")

Accuracy: 0.961
Precision: 0.980
Recall: 0.979
F1 Score: 0.979

ABOD

np.random.seed(77)
clf = ABOD(contamination=0.05)
clf.fit(_df[['x', 'y','f']])
_df['ABOD_Clf'] = clf.labels_

outlier_ABOD_one = list(clf.labels_)

outlier_ABOD_one = list(map(lambda x: 1 if x==0  else -1,outlier_ABOD_one))

_conf = Conf_matrx(outlier_true_one,outlier_ABOD_one)

_conf.conf("ABOD (Kriegel et al., 2008)")

Accuracy: 0.985
Precision: 0.993
Recall: 0.992
F1 Score: 0.992

IForest

np.random.seed(77)
od = IForest(
    threshold=0.
)

od.fit(_df[['x', 'y','f']])

preds = od.predict(
    _df[['x', 'y','f']],
    return_instance_score=True
)

_df['IF_alibi'] = preds['data']['is_outlier']

outlier_alibi_one = _df['IF_alibi']

outlier_alibi_one = list(map(lambda x: 1 if x==0  else -1,outlier_alibi_one))

_conf = Conf_matrx(outlier_true_one,outlier_alibi_one)

_conf.conf("Isolation Forest (Liu et al., 2008)")

Accuracy: 0.370
Precision: 1.000
Recall: 0.338
F1 Score: 0.505

HBOS

np.random.seed(77)
clf = HBOS(contamination=0.05)
clf.fit(_df[['x', 'y','f']])
_df['HBOS_clf'] = clf.labels_

outlier_HBOS_one = list(clf.labels_)

outlier_HBOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_HBOS_one))

_conf = Conf_matrx(outlier_true_one,outlier_HBOS_one)

_conf.conf("HBOS (Goldstein and Dengel, 2012)")

Accuracy: 0.919
Precision: 0.952
Recall: 0.963
F1 Score: 0.958

SOS

np.random.seed(77)
clf = SOS(contamination=0.05)
clf.fit(_df[['x', 'y','f']])
_df['SOS_clf'] = clf.labels_

outlier_SOS_one = list(clf.labels_)

outlier_SOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_SOS_one))

_conf = Conf_matrx(outlier_true_one,outlier_SOS_one)

_conf.conf("SOS (Janssens et al., 2012)")

Accuracy: 0.955
Precision: 0.977
Recall: 0.976
F1 Score: 0.976

SO_GAAL

np.random.seed(77)
clf = SO_GAAL(contamination=0.05)
clf.fit(_df[['x', 'y','f']])
_df['SO_GAAL_clf'] = clf.labels_

Epoch 1 of 60

Testing for epoch 1 index 1:

Testing for epoch 1 index 2:
Epoch 2 of 60

Testing for epoch 2 index 1:

Testing for epoch 2 index 2:
Epoch 3 of 60

Testing for epoch 3 index 1:

Testing for epoch 3 index 2:
Epoch 4 of 60

Testing for epoch 4 index 1:

Testing for epoch 4 index 2:
Epoch 5 of 60

Testing for epoch 5 index 1:

Testing for epoch 5 index 2:
Epoch 6 of 60

Testing for epoch 6 index 1:

Testing for epoch 6 index 2:
Epoch 7 of 60

Testing for epoch 7 index 1:

Testing for epoch 7 index 2:
Epoch 8 of 60

Testing for epoch 8 index 1:

Testing for epoch 8 index 2:
Epoch 9 of 60

Testing for epoch 9 index 1:

Testing for epoch 9 index 2:
Epoch 10 of 60

Testing for epoch 10 index 1:

Testing for epoch 10 index 2:
Epoch 11 of 60

Testing for epoch 11 index 1:

Testing for epoch 11 index 2:
Epoch 12 of 60

Testing for epoch 12 index 1:

Testing for epoch 12 index 2:
Epoch 13 of 60

Testing for epoch 13 index 1:

Testing for epoch 13 index 2:
Epoch 14 of 60

Testing for epoch 14 index 1:

Testing for epoch 14 index 2:
Epoch 15 of 60

Testing for epoch 15 index 1:

Testing for epoch 15 index 2:
Epoch 16 of 60

Testing for epoch 16 index 1:

Testing for epoch 16 index 2:
Epoch 17 of 60

Testing for epoch 17 index 1:

Testing for epoch 17 index 2:
Epoch 18 of 60

Testing for epoch 18 index 1:

Testing for epoch 18 index 2:
Epoch 19 of 60

Testing for epoch 19 index 1:

Testing for epoch 19 index 2:
Epoch 20 of 60

Testing for epoch 20 index 1:

Testing for epoch 20 index 2:
Epoch 21 of 60

Testing for epoch 21 index 1:

Testing for epoch 21 index 2:
Epoch 22 of 60

Testing for epoch 22 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.2017

Testing for epoch 22 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.2536
Epoch 23 of 60

Testing for epoch 23 index 1:
16/16 [==============================] - 0s 5ms/step - loss: 1.2693

Testing for epoch 23 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 1.2848
Epoch 24 of 60

Testing for epoch 24 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.3139

Testing for epoch 24 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.3287
Epoch 25 of 60

Testing for epoch 25 index 1:
16/16 [==============================] - 0s 5ms/step - loss: 1.3425

Testing for epoch 25 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 1.3685
Epoch 26 of 60

Testing for epoch 26 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.3708

Testing for epoch 26 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.3917
Epoch 27 of 60

Testing for epoch 27 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.3827

Testing for epoch 27 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 1.4081
Epoch 28 of 60

Testing for epoch 28 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.3950

Testing for epoch 28 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.4005
Epoch 29 of 60

Testing for epoch 29 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 1.4056

Testing for epoch 29 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.4115
Epoch 30 of 60

Testing for epoch 30 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 1.4037

Testing for epoch 30 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.4111
Epoch 31 of 60

Testing for epoch 31 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.4260

Testing for epoch 31 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 1.4246
Epoch 32 of 60

Testing for epoch 32 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.4342

Testing for epoch 32 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 1.4349
Epoch 33 of 60

Testing for epoch 33 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.4530

Testing for epoch 33 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.4739
Epoch 34 of 60

Testing for epoch 34 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.4702

Testing for epoch 34 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 1.4851
Epoch 35 of 60

Testing for epoch 35 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.4932

Testing for epoch 35 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.5123
Epoch 36 of 60

Testing for epoch 36 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.5324

Testing for epoch 36 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.5349
Epoch 37 of 60

Testing for epoch 37 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.5594

Testing for epoch 37 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.5696
Epoch 38 of 60

Testing for epoch 38 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.5849

Testing for epoch 38 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 1.6069
Epoch 39 of 60

Testing for epoch 39 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.6138

Testing for epoch 39 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.6295
Epoch 40 of 60

Testing for epoch 40 index 1:
16/16 [==============================] - 0s 9ms/step - loss: 1.6329

Testing for epoch 40 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 1.6553
Epoch 41 of 60

Testing for epoch 41 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.6562

Testing for epoch 41 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 1.6691
Epoch 42 of 60

Testing for epoch 42 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.6735

Testing for epoch 42 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.6801
Epoch 43 of 60

Testing for epoch 43 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.6934

Testing for epoch 43 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.7058
Epoch 44 of 60

Testing for epoch 44 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.7042

Testing for epoch 44 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.7093
Epoch 45 of 60

Testing for epoch 45 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.7317

Testing for epoch 45 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.7346
Epoch 46 of 60

Testing for epoch 46 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.7348

Testing for epoch 46 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.7371
Epoch 47 of 60

Testing for epoch 47 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 1.7484

Testing for epoch 47 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 1.7765
Epoch 48 of 60

Testing for epoch 48 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.7712

Testing for epoch 48 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.7777
Epoch 49 of 60

Testing for epoch 49 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.7963

Testing for epoch 49 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 1.8081
Epoch 50 of 60

Testing for epoch 50 index 1:
16/16 [==============================] - 0s 5ms/step - loss: 1.8151

Testing for epoch 50 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.8259
Epoch 51 of 60

Testing for epoch 51 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.8374

Testing for epoch 51 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.8548
Epoch 52 of 60

Testing for epoch 52 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.8541

Testing for epoch 52 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.8647
Epoch 53 of 60

Testing for epoch 53 index 1:
16/16 [==============================] - 0s 6ms/step - loss: 1.8650

Testing for epoch 53 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 1.8907
Epoch 54 of 60

Testing for epoch 54 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.8915

Testing for epoch 54 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.9158
Epoch 55 of 60

Testing for epoch 55 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.9132

Testing for epoch 55 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.9308
Epoch 56 of 60

Testing for epoch 56 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 1.9342

Testing for epoch 56 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.9564
Epoch 57 of 60

Testing for epoch 57 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.9588

Testing for epoch 57 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 1.9554
Epoch 58 of 60

Testing for epoch 58 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 1.9617

Testing for epoch 58 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.9837
Epoch 59 of 60

Testing for epoch 59 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 1.9979

Testing for epoch 59 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.9969
Epoch 60 of 60

Testing for epoch 60 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 2.0126

Testing for epoch 60 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.0087
32/32 [==============================] - 0s 1ms/step

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

outlier_SO_GAAL_one = list(clf.labels_)

outlier_SO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_SO_GAAL_one))

_conf = Conf_matrx(outlier_true_one,outlier_SO_GAAL_one)

_conf.conf("SO-GAAL (Liu et al., 2019)")

Accuracy: 0.951
Precision: 0.951
Recall: 1.000
F1 Score: 0.975

MO_GAAL

np.random.seed(77)
clf = MO_GAAL(contamination=0.05)
clf.fit(_df[['x', 'y','f']])
_df['MO_GAAL_clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

Epoch 1 of 60

Testing for epoch 1 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 1 index 2:
32/32 [==============================] - 0s 4ms/step
Epoch 2 of 60

Testing for epoch 2 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 2 index 2:
32/32 [==============================] - 0s 3ms/step
Epoch 3 of 60

Testing for epoch 3 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 3 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 4 of 60

Testing for epoch 4 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 4 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 5 of 60

Testing for epoch 5 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 5 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 6 of 60

Testing for epoch 6 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 6 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 7 of 60

Testing for epoch 7 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 7 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 8 of 60

Testing for epoch 8 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 8 index 2:
32/32 [==============================] - 0s 3ms/step
Epoch 9 of 60

Testing for epoch 9 index 1:
32/32 [==============================] - 0s 5ms/step

Testing for epoch 9 index 2:
32/32 [==============================] - 0s 3ms/step
Epoch 10 of 60

Testing for epoch 10 index 1:
32/32 [==============================] - 0s 3ms/step

Testing for epoch 10 index 2:
32/32 [==============================] - 0s 3ms/step
Epoch 11 of 60

Testing for epoch 11 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 11 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 12 of 60

Testing for epoch 12 index 1:
32/32 [==============================] - 0s 3ms/step

Testing for epoch 12 index 2:
32/32 [==============================] - 0s 4ms/step
Epoch 13 of 60

Testing for epoch 13 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 13 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 14 of 60

Testing for epoch 14 index 1:
32/32 [==============================] - 0s 3ms/step

Testing for epoch 14 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 15 of 60

Testing for epoch 15 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 15 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 16 of 60

Testing for epoch 16 index 1:
32/32 [==============================] - 0s 3ms/step

Testing for epoch 16 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 17 of 60

Testing for epoch 17 index 1:
32/32 [==============================] - 0s 1ms/step

Testing for epoch 17 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 18 of 60

Testing for epoch 18 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 18 index 2:
32/32 [==============================] - 0s 1ms/step
Epoch 19 of 60

Testing for epoch 19 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 19 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 20 of 60

Testing for epoch 20 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 20 index 2:
32/32 [==============================] - 0s 2ms/step
Epoch 21 of 60

Testing for epoch 21 index 1:
32/32 [==============================] - 0s 2ms/step

Testing for epoch 21 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.4923
16/16 [==============================] - 0s 2ms/step - loss: 1.1303
16/16 [==============================] - 0s 5ms/step - loss: 1.2016
16/16 [==============================] - 0s 1ms/step - loss: 1.2137
16/16 [==============================] - 0s 2ms/step - loss: 1.2181
16/16 [==============================] - 0s 2ms/step - loss: 1.2207
16/16 [==============================] - 0s 2ms/step - loss: 1.2213
16/16 [==============================] - 0s 2ms/step - loss: 1.2214
16/16 [==============================] - 0s 2ms/step - loss: 1.2214
16/16 [==============================] - 0s 2ms/step - loss: 1.2213
Epoch 22 of 60

Testing for epoch 22 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.4841
16/16 [==============================] - 0s 3ms/step - loss: 1.1451
16/16 [==============================] - 0s 2ms/step - loss: 1.2211
16/16 [==============================] - 0s 7ms/step - loss: 1.2338
16/16 [==============================] - 0s 3ms/step - loss: 1.2384
16/16 [==============================] - 0s 3ms/step - loss: 1.2410
16/16 [==============================] - 0s 4ms/step - loss: 1.2415
16/16 [==============================] - 0s 4ms/step - loss: 1.2416
16/16 [==============================] - 0s 4ms/step - loss: 1.2416
16/16 [==============================] - 0s 2ms/step - loss: 1.2416

Testing for epoch 22 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4835
16/16 [==============================] - 0s 3ms/step - loss: 1.1491
16/16 [==============================] - 0s 3ms/step - loss: 1.2284
16/16 [==============================] - 0s 2ms/step - loss: 1.2409
16/16 [==============================] - 0s 2ms/step - loss: 1.2457
16/16 [==============================] - 0s 2ms/step - loss: 1.2482
16/16 [==============================] - 0s 3ms/step - loss: 1.2488
16/16 [==============================] - 0s 2ms/step - loss: 1.2489
16/16 [==============================] - 0s 2ms/step - loss: 1.2489
16/16 [==============================] - 0s 3ms/step - loss: 1.2488
Epoch 23 of 60

Testing for epoch 23 index 1:
32/32 [==============================] - 0s 972us/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4759
16/16 [==============================] - 0s 3ms/step - loss: 1.1741
16/16 [==============================] - 0s 3ms/step - loss: 1.2558
16/16 [==============================] - 0s 2ms/step - loss: 1.2686
16/16 [==============================] - 0s 4ms/step - loss: 1.2735
16/16 [==============================] - 0s 2ms/step - loss: 1.2761
16/16 [==============================] - 0s 2ms/step - loss: 1.2767
16/16 [==============================] - 0s 3ms/step - loss: 1.2768
16/16 [==============================] - 0s 5ms/step - loss: 1.2768
16/16 [==============================] - 0s 3ms/step - loss: 1.2768

Testing for epoch 23 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4775
16/16 [==============================] - 0s 3ms/step - loss: 1.1832
16/16 [==============================] - 0s 3ms/step - loss: 1.2632
16/16 [==============================] - 0s 2ms/step - loss: 1.2756
16/16 [==============================] - 0s 3ms/step - loss: 1.2806
16/16 [==============================] - 0s 2ms/step - loss: 1.2831
16/16 [==============================] - 0s 2ms/step - loss: 1.2837
16/16 [==============================] - 0s 2ms/step - loss: 1.2837
16/16 [==============================] - 0s 3ms/step - loss: 1.2837
16/16 [==============================] - 0s 2ms/step - loss: 1.2837
Epoch 24 of 60

Testing for epoch 24 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4727
16/16 [==============================] - 0s 3ms/step - loss: 1.2078
16/16 [==============================] - 0s 3ms/step - loss: 1.2890
16/16 [==============================] - 0s 4ms/step - loss: 1.3012
16/16 [==============================] - 0s 2ms/step - loss: 1.3064
16/16 [==============================] - 0s 5ms/step - loss: 1.3088
16/16 [==============================] - 0s 5ms/step - loss: 1.3094
16/16 [==============================] - 0s 3ms/step - loss: 1.3095
16/16 [==============================] - 0s 2ms/step - loss: 1.3095
16/16 [==============================] - 0s 2ms/step - loss: 1.3095

Testing for epoch 24 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4779
16/16 [==============================] - 0s 2ms/step - loss: 1.2093
16/16 [==============================] - 0s 2ms/step - loss: 1.2867
16/16 [==============================] - 0s 2ms/step - loss: 1.2983
16/16 [==============================] - 0s 2ms/step - loss: 1.3030
16/16 [==============================] - 0s 3ms/step - loss: 1.3053
16/16 [==============================] - 0s 1ms/step - loss: 1.3059
16/16 [==============================] - 0s 2ms/step - loss: 1.3060
16/16 [==============================] - 0s 5ms/step - loss: 1.3060
16/16 [==============================] - 0s 2ms/step - loss: 1.3059
Epoch 25 of 60

Testing for epoch 25 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4748
16/16 [==============================] - 0s 2ms/step - loss: 1.2361
16/16 [==============================] - 0s 2ms/step - loss: 1.3126
16/16 [==============================] - 0s 3ms/step - loss: 1.3244
16/16 [==============================] - 0s 2ms/step - loss: 1.3291
16/16 [==============================] - 0s 2ms/step - loss: 1.3314
16/16 [==============================] - 0s 1ms/step - loss: 1.3321
16/16 [==============================] - 0s 3ms/step - loss: 1.3321
16/16 [==============================] - 0s 2ms/step - loss: 1.3321
16/16 [==============================] - 0s 2ms/step - loss: 1.3321

Testing for epoch 25 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4796
16/16 [==============================] - 0s 3ms/step - loss: 1.2480
16/16 [==============================] - 0s 2ms/step - loss: 1.3218
16/16 [==============================] - 0s 2ms/step - loss: 1.3326
16/16 [==============================] - 0s 2ms/step - loss: 1.3372
16/16 [==============================] - 0s 2ms/step - loss: 1.3394
16/16 [==============================] - 0s 4ms/step - loss: 1.3400
16/16 [==============================] - 0s 1ms/step - loss: 1.3401
16/16 [==============================] - 0s 7ms/step - loss: 1.3401
16/16 [==============================] - 0s 3ms/step - loss: 1.3401
Epoch 26 of 60

Testing for epoch 26 index 1:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4800
16/16 [==============================] - 0s 2ms/step - loss: 1.2646
16/16 [==============================] - 0s 2ms/step - loss: 1.3363
16/16 [==============================] - 0s 3ms/step - loss: 1.3473
16/16 [==============================] - 0s 4ms/step - loss: 1.3520
16/16 [==============================] - 0s 3ms/step - loss: 1.3541
16/16 [==============================] - 0s 3ms/step - loss: 1.3547
16/16 [==============================] - 0s 3ms/step - loss: 1.3548
16/16 [==============================] - 0s 1ms/step - loss: 1.3548
16/16 [==============================] - 0s 3ms/step - loss: 1.3548

Testing for epoch 26 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.4866
16/16 [==============================] - 0s 5ms/step - loss: 1.2697
16/16 [==============================] - 0s 4ms/step - loss: 1.3380
16/16 [==============================] - 0s 2ms/step - loss: 1.3484
16/16 [==============================] - 0s 2ms/step - loss: 1.3529
16/16 [==============================] - 0s 4ms/step - loss: 1.3549
16/16 [==============================] - 0s 3ms/step - loss: 1.3555
16/16 [==============================] - 0s 2ms/step - loss: 1.3555
16/16 [==============================] - 0s 2ms/step - loss: 1.3556
16/16 [==============================] - 0s 2ms/step - loss: 1.3555
Epoch 27 of 60

Testing for epoch 27 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.4889
16/16 [==============================] - 0s 2ms/step - loss: 1.2808
16/16 [==============================] - 0s 2ms/step - loss: 1.3477
16/16 [==============================] - 0s 3ms/step - loss: 1.3581
16/16 [==============================] - 0s 2ms/step - loss: 1.3625
16/16 [==============================] - 0s 2ms/step - loss: 1.3643
16/16 [==============================] - 0s 3ms/step - loss: 1.3649
16/16 [==============================] - 0s 2ms/step - loss: 1.3650
16/16 [==============================] - 0s 2ms/step - loss: 1.3650
16/16 [==============================] - 0s 2ms/step - loss: 1.3649

Testing for epoch 27 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.4942
16/16 [==============================] - 0s 2ms/step - loss: 1.3012
16/16 [==============================] - 0s 2ms/step - loss: 1.3665
16/16 [==============================] - 0s 2ms/step - loss: 1.3761
16/16 [==============================] - 0s 2ms/step - loss: 1.3805
16/16 [==============================] - 0s 2ms/step - loss: 1.3823
16/16 [==============================] - 0s 3ms/step - loss: 1.3829
16/16 [==============================] - 0s 2ms/step - loss: 1.3830
16/16 [==============================] - 0s 2ms/step - loss: 1.3830
16/16 [==============================] - 0s 4ms/step - loss: 1.3830
Epoch 28 of 60

Testing for epoch 28 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.4971
16/16 [==============================] - 0s 3ms/step - loss: 1.3125
16/16 [==============================] - 0s 1ms/step - loss: 1.3767
16/16 [==============================] - 0s 3ms/step - loss: 1.3859
16/16 [==============================] - 0s 2ms/step - loss: 1.3902
16/16 [==============================] - 0s 3ms/step - loss: 1.3919
16/16 [==============================] - 0s 3ms/step - loss: 1.3924
16/16 [==============================] - 0s 3ms/step - loss: 1.3925
16/16 [==============================] - 0s 2ms/step - loss: 1.3925
16/16 [==============================] - 0s 4ms/step - loss: 1.3925

Testing for epoch 28 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5050
16/16 [==============================] - 0s 2ms/step - loss: 1.3267
16/16 [==============================] - 0s 4ms/step - loss: 1.3883
16/16 [==============================] - 0s 3ms/step - loss: 1.3969
16/16 [==============================] - 0s 1ms/step - loss: 1.4010
16/16 [==============================] - 0s 3ms/step - loss: 1.4026
16/16 [==============================] - 0s 3ms/step - loss: 1.4032
16/16 [==============================] - 0s 2ms/step - loss: 1.4032
16/16 [==============================] - 0s 2ms/step - loss: 1.4032
16/16 [==============================] - 0s 4ms/step - loss: 1.4032
Epoch 29 of 60

Testing for epoch 29 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.5094
16/16 [==============================] - 0s 3ms/step - loss: 1.3236
16/16 [==============================] - 0s 1ms/step - loss: 1.3834
16/16 [==============================] - 0s 2ms/step - loss: 1.3918
16/16 [==============================] - 0s 3ms/step - loss: 1.3958
16/16 [==============================] - 0s 2ms/step - loss: 1.3973
16/16 [==============================] - 0s 2ms/step - loss: 1.3978
16/16 [==============================] - 0s 1ms/step - loss: 1.3979
16/16 [==============================] - 0s 3ms/step - loss: 1.3979
16/16 [==============================] - 0s 2ms/step - loss: 1.3978

Testing for epoch 29 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5167
16/16 [==============================] - 0s 3ms/step - loss: 1.3448
16/16 [==============================] - 0s 4ms/step - loss: 1.4038
16/16 [==============================] - 0s 3ms/step - loss: 1.4123
16/16 [==============================] - 0s 1ms/step - loss: 1.4162
16/16 [==============================] - 0s 3ms/step - loss: 1.4176
16/16 [==============================] - 0s 3ms/step - loss: 1.4181
16/16 [==============================] - 0s 2ms/step - loss: 1.4182
16/16 [==============================] - 0s 2ms/step - loss: 1.4182
16/16 [==============================] - 0s 3ms/step - loss: 1.4182
Epoch 30 of 60

Testing for epoch 30 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5203
16/16 [==============================] - 0s 2ms/step - loss: 1.3527
16/16 [==============================] - 0s 5ms/step - loss: 1.4102
16/16 [==============================] - 0s 5ms/step - loss: 1.4184
16/16 [==============================] - 0s 3ms/step - loss: 1.4223
16/16 [==============================] - 0s 3ms/step - loss: 1.4237
16/16 [==============================] - 0s 3ms/step - loss: 1.4242
16/16 [==============================] - 0s 3ms/step - loss: 1.4242
16/16 [==============================] - 0s 5ms/step - loss: 1.4242
16/16 [==============================] - 0s 4ms/step - loss: 1.4242

Testing for epoch 30 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5286
16/16 [==============================] - 0s 1ms/step - loss: 1.3631
16/16 [==============================] - 0s 3ms/step - loss: 1.4187
16/16 [==============================] - 0s 5ms/step - loss: 1.4267
16/16 [==============================] - 0s 2ms/step - loss: 1.4306
16/16 [==============================] - 0s 3ms/step - loss: 1.4320
16/16 [==============================] - 0s 5ms/step - loss: 1.4325
16/16 [==============================] - 0s 2ms/step - loss: 1.4326
16/16 [==============================] - 0s 2ms/step - loss: 1.4326
16/16 [==============================] - 0s 2ms/step - loss: 1.4325
Epoch 31 of 60

Testing for epoch 31 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5314
16/16 [==============================] - 0s 2ms/step - loss: 1.3742
16/16 [==============================] - 0s 3ms/step - loss: 1.4297
16/16 [==============================] - 0s 2ms/step - loss: 1.4375
16/16 [==============================] - 0s 1ms/step - loss: 1.4415
16/16 [==============================] - 0s 5ms/step - loss: 1.4427
16/16 [==============================] - 0s 3ms/step - loss: 1.4433
16/16 [==============================] - 0s 2ms/step - loss: 1.4433
16/16 [==============================] - 0s 5ms/step - loss: 1.4433
16/16 [==============================] - 0s 2ms/step - loss: 1.4433

Testing for epoch 31 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5392
16/16 [==============================] - 0s 2ms/step - loss: 1.3910
16/16 [==============================] - 0s 3ms/step - loss: 1.4465
16/16 [==============================] - 0s 2ms/step - loss: 1.4540
16/16 [==============================] - 0s 4ms/step - loss: 1.4580
16/16 [==============================] - 0s 2ms/step - loss: 1.4592
16/16 [==============================] - 0s 4ms/step - loss: 1.4597
16/16 [==============================] - 0s 2ms/step - loss: 1.4598
16/16 [==============================] - 0s 3ms/step - loss: 1.4597
16/16 [==============================] - 0s 4ms/step - loss: 1.4597
Epoch 32 of 60

Testing for epoch 32 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5422
16/16 [==============================] - 0s 2ms/step - loss: 1.4048
16/16 [==============================] - 0s 4ms/step - loss: 1.4607
16/16 [==============================] - 0s 1ms/step - loss: 1.4683
16/16 [==============================] - 0s 2ms/step - loss: 1.4723
16/16 [==============================] - 0s 3ms/step - loss: 1.4735
16/16 [==============================] - 0s 2ms/step - loss: 1.4740
16/16 [==============================] - 0s 3ms/step - loss: 1.4741
16/16 [==============================] - 0s 2ms/step - loss: 1.4741
16/16 [==============================] - 0s 2ms/step - loss: 1.4741

Testing for epoch 32 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 7ms/step - loss: 0.5501
16/16 [==============================] - 0s 4ms/step - loss: 1.4170
16/16 [==============================] - 0s 3ms/step - loss: 1.4725
16/16 [==============================] - 0s 2ms/step - loss: 1.4802
16/16 [==============================] - 0s 2ms/step - loss: 1.4841
16/16 [==============================] - 0s 2ms/step - loss: 1.4853
16/16 [==============================] - 0s 2ms/step - loss: 1.4858
16/16 [==============================] - 0s 2ms/step - loss: 1.4858
16/16 [==============================] - 0s 2ms/step - loss: 1.4858
16/16 [==============================] - 0s 3ms/step - loss: 1.4858
Epoch 33 of 60

Testing for epoch 33 index 1:
32/32 [==============================] - 0s 6ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5527
16/16 [==============================] - 0s 3ms/step - loss: 1.4238
16/16 [==============================] - 0s 2ms/step - loss: 1.4793
16/16 [==============================] - 0s 3ms/step - loss: 1.4869
16/16 [==============================] - 0s 3ms/step - loss: 1.4908
16/16 [==============================] - 0s 1ms/step - loss: 1.4920
16/16 [==============================] - 0s 3ms/step - loss: 1.4926
16/16 [==============================] - 0s 3ms/step - loss: 1.4926
16/16 [==============================] - 0s 2ms/step - loss: 1.4926
16/16 [==============================] - 0s 3ms/step - loss: 1.4926

Testing for epoch 33 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5607
16/16 [==============================] - 0s 4ms/step - loss: 1.4329
16/16 [==============================] - 0s 5ms/step - loss: 1.4875
16/16 [==============================] - 0s 4ms/step - loss: 1.4951
16/16 [==============================] - 0s 2ms/step - loss: 1.4990
16/16 [==============================] - 0s 5ms/step - loss: 1.5002
16/16 [==============================] - 0s 2ms/step - loss: 1.5007
16/16 [==============================] - 0s 2ms/step - loss: 1.5007
16/16 [==============================] - 0s 3ms/step - loss: 1.5007
16/16 [==============================] - 0s 4ms/step - loss: 1.5007
Epoch 34 of 60

Testing for epoch 34 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5634
16/16 [==============================] - 0s 2ms/step - loss: 1.4569
16/16 [==============================] - 0s 4ms/step - loss: 1.5130
16/16 [==============================] - 0s 4ms/step - loss: 1.5206
16/16 [==============================] - 0s 3ms/step - loss: 1.5246
16/16 [==============================] - 0s 4ms/step - loss: 1.5258
16/16 [==============================] - 0s 4ms/step - loss: 1.5264
16/16 [==============================] - 0s 4ms/step - loss: 1.5264
16/16 [==============================] - 0s 2ms/step - loss: 1.5265
16/16 [==============================] - 0s 3ms/step - loss: 1.5264

Testing for epoch 34 index 2:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5710
16/16 [==============================] - 0s 2ms/step - loss: 1.4593
16/16 [==============================] - 0s 2ms/step - loss: 1.5139
16/16 [==============================] - 0s 2ms/step - loss: 1.5215
16/16 [==============================] - 0s 2ms/step - loss: 1.5255
16/16 [==============================] - 0s 2ms/step - loss: 1.5267
16/16 [==============================] - 0s 5ms/step - loss: 1.5272
16/16 [==============================] - 0s 5ms/step - loss: 1.5273
16/16 [==============================] - 0s 3ms/step - loss: 1.5273
16/16 [==============================] - 0s 3ms/step - loss: 1.5273
Epoch 35 of 60

Testing for epoch 35 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5740
16/16 [==============================] - 0s 2ms/step - loss: 1.4847
16/16 [==============================] - 0s 3ms/step - loss: 1.5391
16/16 [==============================] - 0s 3ms/step - loss: 1.5468
16/16 [==============================] - 0s 4ms/step - loss: 1.5509
16/16 [==============================] - 0s 2ms/step - loss: 1.5521
16/16 [==============================] - 0s 4ms/step - loss: 1.5526
16/16 [==============================] - 0s 3ms/step - loss: 1.5527
16/16 [==============================] - 0s 2ms/step - loss: 1.5527
16/16 [==============================] - 0s 2ms/step - loss: 1.5527

Testing for epoch 35 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.5817
16/16 [==============================] - 0s 2ms/step - loss: 1.4866
16/16 [==============================] - 0s 2ms/step - loss: 1.5394
16/16 [==============================] - 0s 2ms/step - loss: 1.5473
16/16 [==============================] - 0s 2ms/step - loss: 1.5514
16/16 [==============================] - 0s 2ms/step - loss: 1.5526
16/16 [==============================] - 0s 2ms/step - loss: 1.5531
16/16 [==============================] - 0s 3ms/step - loss: 1.5531
16/16 [==============================] - 0s 2ms/step - loss: 1.5531
16/16 [==============================] - 0s 2ms/step - loss: 1.5531
Epoch 36 of 60

Testing for epoch 36 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5847
16/16 [==============================] - 0s 3ms/step - loss: 1.4944
16/16 [==============================] - 0s 2ms/step - loss: 1.5474
16/16 [==============================] - 0s 3ms/step - loss: 1.5553
16/16 [==============================] - 0s 3ms/step - loss: 1.5594
16/16 [==============================] - 0s 2ms/step - loss: 1.5606
16/16 [==============================] - 0s 2ms/step - loss: 1.5611
16/16 [==============================] - 0s 3ms/step - loss: 1.5612
16/16 [==============================] - 0s 2ms/step - loss: 1.5612
16/16 [==============================] - 0s 3ms/step - loss: 1.5612

Testing for epoch 36 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.5931
16/16 [==============================] - 0s 2ms/step - loss: 1.5008
16/16 [==============================] - 0s 8ms/step - loss: 1.5527
16/16 [==============================] - 0s 2ms/step - loss: 1.5606
16/16 [==============================] - 0s 2ms/step - loss: 1.5648
16/16 [==============================] - 0s 2ms/step - loss: 1.5659
16/16 [==============================] - 0s 2ms/step - loss: 1.5665
16/16 [==============================] - 0s 3ms/step - loss: 1.5665
16/16 [==============================] - 0s 2ms/step - loss: 1.5665
16/16 [==============================] - 0s 4ms/step - loss: 1.5665
Epoch 37 of 60

Testing for epoch 37 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.5977
16/16 [==============================] - 0s 3ms/step - loss: 1.5269
16/16 [==============================] - 0s 2ms/step - loss: 1.5800
16/16 [==============================] - 0s 3ms/step - loss: 1.5880
16/16 [==============================] - 0s 5ms/step - loss: 1.5922
16/16 [==============================] - 0s 2ms/step - loss: 1.5933
16/16 [==============================] - 0s 1ms/step - loss: 1.5939
16/16 [==============================] - 0s 2ms/step - loss: 1.5939
16/16 [==============================] - 0s 2ms/step - loss: 1.5939
16/16 [==============================] - 0s 1ms/step - loss: 1.5939

Testing for epoch 37 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.6082
16/16 [==============================] - 0s 3ms/step - loss: 1.5497
16/16 [==============================] - 0s 1ms/step - loss: 1.6025
16/16 [==============================] - 0s 1ms/step - loss: 1.6106
16/16 [==============================] - 0s 3ms/step - loss: 1.6148
16/16 [==============================] - 0s 5ms/step - loss: 1.6160
16/16 [==============================] - 0s 3ms/step - loss: 1.6165
16/16 [==============================] - 0s 2ms/step - loss: 1.6165
16/16 [==============================] - 0s 7ms/step - loss: 1.6165
16/16 [==============================] - 0s 2ms/step - loss: 1.6165
Epoch 38 of 60

Testing for epoch 38 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.6117
16/16 [==============================] - 0s 2ms/step - loss: 1.5509
16/16 [==============================] - 0s 5ms/step - loss: 1.6036
16/16 [==============================] - 0s 4ms/step - loss: 1.6117
16/16 [==============================] - 0s 4ms/step - loss: 1.6158
16/16 [==============================] - 0s 4ms/step - loss: 1.6170
16/16 [==============================] - 0s 5ms/step - loss: 1.6175
16/16 [==============================] - 0s 3ms/step - loss: 1.6176
16/16 [==============================] - 0s 3ms/step - loss: 1.6176
16/16 [==============================] - 0s 2ms/step - loss: 1.6176

Testing for epoch 38 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.6234
16/16 [==============================] - 0s 4ms/step - loss: 1.5746
16/16 [==============================] - 0s 3ms/step - loss: 1.6273
16/16 [==============================] - 0s 3ms/step - loss: 1.6354
16/16 [==============================] - 0s 2ms/step - loss: 1.6395
16/16 [==============================] - 0s 1ms/step - loss: 1.6407
16/16 [==============================] - 0s 3ms/step - loss: 1.6412
16/16 [==============================] - 0s 2ms/step - loss: 1.6413
16/16 [==============================] - 0s 2ms/step - loss: 1.6413
16/16 [==============================] - 0s 2ms/step - loss: 1.6413
Epoch 39 of 60

Testing for epoch 39 index 1:
32/32 [==============================] - 0s 5ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.6270
16/16 [==============================] - 0s 1ms/step - loss: 1.5755
16/16 [==============================] - 0s 6ms/step - loss: 1.6279
16/16 [==============================] - 0s 8ms/step - loss: 1.6359
16/16 [==============================] - 0s 2ms/step - loss: 1.6399
16/16 [==============================] - 0s 3ms/step - loss: 1.6410
16/16 [==============================] - 0s 5ms/step - loss: 1.6416
16/16 [==============================] - 0s 2ms/step - loss: 1.6417
16/16 [==============================] - 0s 2ms/step - loss: 1.6417
16/16 [==============================] - 0s 2ms/step - loss: 1.6417

Testing for epoch 39 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.6377
16/16 [==============================] - 0s 1ms/step - loss: 1.5824
16/16 [==============================] - 0s 2ms/step - loss: 1.6337
16/16 [==============================] - 0s 2ms/step - loss: 1.6417
16/16 [==============================] - 0s 3ms/step - loss: 1.6457
16/16 [==============================] - 0s 2ms/step - loss: 1.6467
16/16 [==============================] - 0s 2ms/step - loss: 1.6473
16/16 [==============================] - 0s 2ms/step - loss: 1.6474
16/16 [==============================] - 0s 2ms/step - loss: 1.6474
16/16 [==============================] - 0s 3ms/step - loss: 1.6474
Epoch 40 of 60

Testing for epoch 40 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 7ms/step - loss: 0.6438
16/16 [==============================] - 0s 2ms/step - loss: 1.6001
16/16 [==============================] - 0s 3ms/step - loss: 1.6518
16/16 [==============================] - 0s 4ms/step - loss: 1.6599
16/16 [==============================] - 0s 2ms/step - loss: 1.6638
16/16 [==============================] - 0s 3ms/step - loss: 1.6649
16/16 [==============================] - 0s 4ms/step - loss: 1.6654
16/16 [==============================] - 0s 2ms/step - loss: 1.6655
16/16 [==============================] - 0s 3ms/step - loss: 1.6655
16/16 [==============================] - 0s 2ms/step - loss: 1.6655

Testing for epoch 40 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.6568
16/16 [==============================] - 0s 4ms/step - loss: 1.6188
16/16 [==============================] - 0s 5ms/step - loss: 1.6701
16/16 [==============================] - 0s 5ms/step - loss: 1.6783
16/16 [==============================] - 0s 3ms/step - loss: 1.6822
16/16 [==============================] - 0s 2ms/step - loss: 1.6832
16/16 [==============================] - 0s 3ms/step - loss: 1.6838
16/16 [==============================] - 0s 1ms/step - loss: 1.6839
16/16 [==============================] - 0s 2ms/step - loss: 1.6839
16/16 [==============================] - 0s 4ms/step - loss: 1.6839
Epoch 41 of 60

Testing for epoch 41 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.6603
16/16 [==============================] - 0s 3ms/step - loss: 1.6137
16/16 [==============================] - 0s 5ms/step - loss: 1.6643
16/16 [==============================] - 0s 2ms/step - loss: 1.6723
16/16 [==============================] - 0s 1ms/step - loss: 1.6761
16/16 [==============================] - 0s 3ms/step - loss: 1.6771
16/16 [==============================] - 0s 3ms/step - loss: 1.6777
16/16 [==============================] - 0s 2ms/step - loss: 1.6777
16/16 [==============================] - 0s 2ms/step - loss: 1.6778
16/16 [==============================] - 0s 2ms/step - loss: 1.6777

Testing for epoch 41 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.6723
16/16 [==============================] - 0s 2ms/step - loss: 1.6212
16/16 [==============================] - 0s 2ms/step - loss: 1.6708
16/16 [==============================] - 0s 4ms/step - loss: 1.6788
16/16 [==============================] - 0s 3ms/step - loss: 1.6825
16/16 [==============================] - 0s 2ms/step - loss: 1.6835
16/16 [==============================] - 0s 2ms/step - loss: 1.6841
16/16 [==============================] - 0s 3ms/step - loss: 1.6842
16/16 [==============================] - 0s 3ms/step - loss: 1.6842
16/16 [==============================] - 0s 3ms/step - loss: 1.6842
Epoch 42 of 60

Testing for epoch 42 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.6808
16/16 [==============================] - 0s 4ms/step - loss: 1.6463
16/16 [==============================] - 0s 3ms/step - loss: 1.6960
16/16 [==============================] - 0s 4ms/step - loss: 1.7042
16/16 [==============================] - 0s 5ms/step - loss: 1.7079
16/16 [==============================] - 0s 2ms/step - loss: 1.7089
16/16 [==============================] - 0s 3ms/step - loss: 1.7094
16/16 [==============================] - 0s 3ms/step - loss: 1.7095
16/16 [==============================] - 0s 4ms/step - loss: 1.7095
16/16 [==============================] - 0s 3ms/step - loss: 1.7095

Testing for epoch 42 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 7ms/step - loss: 0.6936
16/16 [==============================] - 0s 4ms/step - loss: 1.6582
16/16 [==============================] - 0s 2ms/step - loss: 1.7075
16/16 [==============================] - 0s 1ms/step - loss: 1.7157
16/16 [==============================] - 0s 2ms/step - loss: 1.7193
16/16 [==============================] - 0s 2ms/step - loss: 1.7203
16/16 [==============================] - 0s 8ms/step - loss: 1.7208
16/16 [==============================] - 0s 3ms/step - loss: 1.7209
16/16 [==============================] - 0s 2ms/step - loss: 1.7209
16/16 [==============================] - 0s 2ms/step - loss: 1.7209
Epoch 43 of 60

Testing for epoch 43 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.7005
16/16 [==============================] - 0s 2ms/step - loss: 1.6713
16/16 [==============================] - 0s 2ms/step - loss: 1.7206
16/16 [==============================] - 0s 4ms/step - loss: 1.7287
16/16 [==============================] - 0s 1ms/step - loss: 1.7324
16/16 [==============================] - 0s 3ms/step - loss: 1.7333
16/16 [==============================] - 0s 2ms/step - loss: 1.7339
16/16 [==============================] - 0s 2ms/step - loss: 1.7340
16/16 [==============================] - 0s 3ms/step - loss: 1.7340
16/16 [==============================] - 0s 3ms/step - loss: 1.7340

Testing for epoch 43 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.7123
16/16 [==============================] - 0s 3ms/step - loss: 1.6761
16/16 [==============================] - 0s 5ms/step - loss: 1.7244
16/16 [==============================] - 0s 1ms/step - loss: 1.7327
16/16 [==============================] - 0s 4ms/step - loss: 1.7363
16/16 [==============================] - 0s 2ms/step - loss: 1.7372
16/16 [==============================] - 0s 3ms/step - loss: 1.7378
16/16 [==============================] - 0s 2ms/step - loss: 1.7379
16/16 [==============================] - 0s 2ms/step - loss: 1.7379
16/16 [==============================] - 0s 2ms/step - loss: 1.7379
Epoch 44 of 60

Testing for epoch 44 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.7197
16/16 [==============================] - 0s 2ms/step - loss: 1.6903
16/16 [==============================] - 0s 2ms/step - loss: 1.7384
16/16 [==============================] - 0s 2ms/step - loss: 1.7469
16/16 [==============================] - 0s 2ms/step - loss: 1.7505
16/16 [==============================] - 0s 3ms/step - loss: 1.7514
16/16 [==============================] - 0s 2ms/step - loss: 1.7520
16/16 [==============================] - 0s 2ms/step - loss: 1.7521
16/16 [==============================] - 0s 2ms/step - loss: 1.7521
16/16 [==============================] - 0s 2ms/step - loss: 1.7521

Testing for epoch 44 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.7326
16/16 [==============================] - 0s 3ms/step - loss: 1.7042
16/16 [==============================] - 0s 2ms/step - loss: 1.7518
16/16 [==============================] - 0s 2ms/step - loss: 1.7604
16/16 [==============================] - 0s 4ms/step - loss: 1.7638
16/16 [==============================] - 0s 2ms/step - loss: 1.7648
16/16 [==============================] - 0s 4ms/step - loss: 1.7653
16/16 [==============================] - 0s 1ms/step - loss: 1.7654
16/16 [==============================] - 0s 4ms/step - loss: 1.7654
16/16 [==============================] - 0s 3ms/step - loss: 1.7654
Epoch 45 of 60

Testing for epoch 45 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.7388
16/16 [==============================] - 0s 3ms/step - loss: 1.7181
16/16 [==============================] - 0s 3ms/step - loss: 1.7656
16/16 [==============================] - 0s 4ms/step - loss: 1.7742
16/16 [==============================] - 0s 2ms/step - loss: 1.7776
16/16 [==============================] - 0s 2ms/step - loss: 1.7786
16/16 [==============================] - 0s 3ms/step - loss: 1.7791
16/16 [==============================] - 0s 2ms/step - loss: 1.7792
16/16 [==============================] - 0s 1ms/step - loss: 1.7792
16/16 [==============================] - 0s 5ms/step - loss: 1.7792

Testing for epoch 45 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.7484
16/16 [==============================] - 0s 2ms/step - loss: 1.7175
16/16 [==============================] - 0s 2ms/step - loss: 1.7635
16/16 [==============================] - 0s 3ms/step - loss: 1.7724
16/16 [==============================] - 0s 5ms/step - loss: 1.7757
16/16 [==============================] - 0s 2ms/step - loss: 1.7767
16/16 [==============================] - 0s 2ms/step - loss: 1.7772
16/16 [==============================] - 0s 3ms/step - loss: 1.7773
16/16 [==============================] - 0s 2ms/step - loss: 1.7773
16/16 [==============================] - 0s 2ms/step - loss: 1.7773
Epoch 46 of 60

Testing for epoch 46 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.7574
16/16 [==============================] - 0s 2ms/step - loss: 1.7414
16/16 [==============================] - 0s 1ms/step - loss: 1.7883
16/16 [==============================] - 0s 5ms/step - loss: 1.7973
16/16 [==============================] - 0s 3ms/step - loss: 1.8006
16/16 [==============================] - 0s 3ms/step - loss: 1.8015
16/16 [==============================] - 0s 2ms/step - loss: 1.8021
16/16 [==============================] - 0s 2ms/step - loss: 1.8022
16/16 [==============================] - 0s 4ms/step - loss: 1.8022
16/16 [==============================] - 0s 3ms/step - loss: 1.8022

Testing for epoch 46 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.7680
16/16 [==============================] - 0s 3ms/step - loss: 1.7435
16/16 [==============================] - 0s 5ms/step - loss: 1.7892
16/16 [==============================] - 0s 2ms/step - loss: 1.7984
16/16 [==============================] - 0s 3ms/step - loss: 1.8017
16/16 [==============================] - 0s 5ms/step - loss: 1.8026
16/16 [==============================] - 0s 4ms/step - loss: 1.8032
16/16 [==============================] - 0s 4ms/step - loss: 1.8033
16/16 [==============================] - 0s 4ms/step - loss: 1.8033
16/16 [==============================] - 0s 2ms/step - loss: 1.8033
Epoch 47 of 60

Testing for epoch 47 index 1:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.7758
16/16 [==============================] - 0s 5ms/step - loss: 1.7597
16/16 [==============================] - 0s 4ms/step - loss: 1.8053
16/16 [==============================] - 0s 2ms/step - loss: 1.8146
16/16 [==============================] - 0s 3ms/step - loss: 1.8179
16/16 [==============================] - 0s 2ms/step - loss: 1.8188
16/16 [==============================] - 0s 3ms/step - loss: 1.8193
16/16 [==============================] - 0s 4ms/step - loss: 1.8194
16/16 [==============================] - 0s 1ms/step - loss: 1.8194
16/16 [==============================] - 0s 3ms/step - loss: 1.8194

Testing for epoch 47 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.7872
16/16 [==============================] - 0s 2ms/step - loss: 1.7654
16/16 [==============================] - 0s 3ms/step - loss: 1.8103
16/16 [==============================] - 0s 3ms/step - loss: 1.8198
16/16 [==============================] - 0s 2ms/step - loss: 1.8229
16/16 [==============================] - 0s 3ms/step - loss: 1.8239
16/16 [==============================] - 0s 5ms/step - loss: 1.8244
16/16 [==============================] - 0s 2ms/step - loss: 1.8245
16/16 [==============================] - 0s 3ms/step - loss: 1.8246
16/16 [==============================] - 0s 3ms/step - loss: 1.8246
Epoch 48 of 60

Testing for epoch 48 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.7922
16/16 [==============================] - 0s 3ms/step - loss: 1.7695
16/16 [==============================] - 0s 2ms/step - loss: 1.8137
16/16 [==============================] - 0s 6ms/step - loss: 1.8232
16/16 [==============================] - 0s 3ms/step - loss: 1.8263
16/16 [==============================] - 0s 2ms/step - loss: 1.8272
16/16 [==============================] - 0s 5ms/step - loss: 1.8278
16/16 [==============================] - 0s 4ms/step - loss: 1.8278
16/16 [==============================] - 0s 2ms/step - loss: 1.8278
16/16 [==============================] - 0s 2ms/step - loss: 1.8278

Testing for epoch 48 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.8032
16/16 [==============================] - 0s 3ms/step - loss: 1.7721
16/16 [==============================] - 0s 2ms/step - loss: 1.8155
16/16 [==============================] - 0s 2ms/step - loss: 1.8252
16/16 [==============================] - 0s 2ms/step - loss: 1.8283
16/16 [==============================] - 0s 2ms/step - loss: 1.8292
16/16 [==============================] - 0s 2ms/step - loss: 1.8297
16/16 [==============================] - 0s 2ms/step - loss: 1.8298
16/16 [==============================] - 0s 2ms/step - loss: 1.8298
16/16 [==============================] - 0s 2ms/step - loss: 1.8299
Epoch 49 of 60

Testing for epoch 49 index 1:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.8145
16/16 [==============================] - 0s 3ms/step - loss: 1.8007
16/16 [==============================] - 0s 4ms/step - loss: 1.8443
16/16 [==============================] - 0s 6ms/step - loss: 1.8541
16/16 [==============================] - 0s 1ms/step - loss: 1.8573
16/16 [==============================] - 0s 4ms/step - loss: 1.8582
16/16 [==============================] - 0s 7ms/step - loss: 1.8587
16/16 [==============================] - 0s 2ms/step - loss: 1.8588
16/16 [==============================] - 0s 5ms/step - loss: 1.8588
16/16 [==============================] - 0s 3ms/step - loss: 1.8588

Testing for epoch 49 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.8253
16/16 [==============================] - 0s 2ms/step - loss: 1.8018
16/16 [==============================] - 0s 2ms/step - loss: 1.8445
16/16 [==============================] - 0s 2ms/step - loss: 1.8543
16/16 [==============================] - 0s 4ms/step - loss: 1.8573
16/16 [==============================] - 0s 3ms/step - loss: 1.8583
16/16 [==============================] - 0s 4ms/step - loss: 1.8588
16/16 [==============================] - 0s 4ms/step - loss: 1.8589
16/16 [==============================] - 0s 2ms/step - loss: 1.8589
16/16 [==============================] - 0s 3ms/step - loss: 1.8589
Epoch 50 of 60

Testing for epoch 50 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.8369
16/16 [==============================] - 0s 2ms/step - loss: 1.8308
16/16 [==============================] - 0s 2ms/step - loss: 1.8739
16/16 [==============================] - 0s 2ms/step - loss: 1.8840
16/16 [==============================] - 0s 2ms/step - loss: 1.8870
16/16 [==============================] - 0s 4ms/step - loss: 1.8880
16/16 [==============================] - 0s 2ms/step - loss: 1.8885
16/16 [==============================] - 0s 5ms/step - loss: 1.8886
16/16 [==============================] - 0s 2ms/step - loss: 1.8886
16/16 [==============================] - 0s 2ms/step - loss: 1.8886

Testing for epoch 50 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.8487
16/16 [==============================] - 0s 2ms/step - loss: 1.8356
16/16 [==============================] - 0s 2ms/step - loss: 1.8781
16/16 [==============================] - 0s 1ms/step - loss: 1.8882
16/16 [==============================] - 0s 3ms/step - loss: 1.8912
16/16 [==============================] - 0s 3ms/step - loss: 1.8922
16/16 [==============================] - 0s 3ms/step - loss: 1.8927
16/16 [==============================] - 0s 6ms/step - loss: 1.8928
16/16 [==============================] - 0s 2ms/step - loss: 1.8928
16/16 [==============================] - 0s 3ms/step - loss: 1.8928
Epoch 51 of 60

Testing for epoch 51 index 1:
32/32 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.8506
16/16 [==============================] - 0s 2ms/step - loss: 1.8305
16/16 [==============================] - 0s 2ms/step - loss: 1.8724
16/16 [==============================] - 0s 2ms/step - loss: 1.8822
16/16 [==============================] - 0s 2ms/step - loss: 1.8852
16/16 [==============================] - 0s 3ms/step - loss: 1.8861
16/16 [==============================] - 0s 4ms/step - loss: 1.8866
16/16 [==============================] - 0s 5ms/step - loss: 1.8867
16/16 [==============================] - 0s 5ms/step - loss: 1.8867
16/16 [==============================] - 0s 3ms/step - loss: 1.8867

Testing for epoch 51 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.8657
16/16 [==============================] - 0s 4ms/step - loss: 1.8480
16/16 [==============================] - 0s 2ms/step - loss: 1.8899
16/16 [==============================] - 0s 3ms/step - loss: 1.8997
16/16 [==============================] - 0s 2ms/step - loss: 1.9027
16/16 [==============================] - 0s 1ms/step - loss: 1.9037
16/16 [==============================] - 0s 3ms/step - loss: 1.9042
16/16 [==============================] - 0s 4ms/step - loss: 1.9043
16/16 [==============================] - 0s 2ms/step - loss: 1.9043
16/16 [==============================] - 0s 2ms/step - loss: 1.9043
Epoch 52 of 60

Testing for epoch 52 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.8729
16/16 [==============================] - 0s 2ms/step - loss: 1.8606
16/16 [==============================] - 0s 3ms/step - loss: 1.9024
16/16 [==============================] - 0s 2ms/step - loss: 1.9121
16/16 [==============================] - 0s 2ms/step - loss: 1.9151
16/16 [==============================] - 0s 2ms/step - loss: 1.9161
16/16 [==============================] - 0s 4ms/step - loss: 1.9165
16/16 [==============================] - 0s 4ms/step - loss: 1.9166
16/16 [==============================] - 0s 2ms/step - loss: 1.9166
16/16 [==============================] - 0s 1ms/step - loss: 1.9167

Testing for epoch 52 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.8845
16/16 [==============================] - 0s 3ms/step - loss: 1.8676
16/16 [==============================] - 0s 1ms/step - loss: 1.9092
16/16 [==============================] - 0s 6ms/step - loss: 1.9188
16/16 [==============================] - 0s 2ms/step - loss: 1.9218
16/16 [==============================] - 0s 5ms/step - loss: 1.9228
16/16 [==============================] - 0s 3ms/step - loss: 1.9233
16/16 [==============================] - 0s 2ms/step - loss: 1.9234
16/16 [==============================] - 0s 3ms/step - loss: 1.9234
16/16 [==============================] - 0s 2ms/step - loss: 1.9234
Epoch 53 of 60

Testing for epoch 53 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.8899
16/16 [==============================] - 0s 3ms/step - loss: 1.8751
16/16 [==============================] - 0s 4ms/step - loss: 1.9167
16/16 [==============================] - 0s 2ms/step - loss: 1.9263
16/16 [==============================] - 0s 1ms/step - loss: 1.9293
16/16 [==============================] - 0s 2ms/step - loss: 1.9303
16/16 [==============================] - 0s 1ms/step - loss: 1.9308
16/16 [==============================] - 0s 2ms/step - loss: 1.9309
16/16 [==============================] - 0s 3ms/step - loss: 1.9309
16/16 [==============================] - 0s 2ms/step - loss: 1.9309

Testing for epoch 53 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.9045
16/16 [==============================] - 0s 2ms/step - loss: 1.8891
16/16 [==============================] - 0s 3ms/step - loss: 1.9305
16/16 [==============================] - 0s 3ms/step - loss: 1.9401
16/16 [==============================] - 0s 2ms/step - loss: 1.9430
16/16 [==============================] - 0s 2ms/step - loss: 1.9440
16/16 [==============================] - 0s 2ms/step - loss: 1.9445
16/16 [==============================] - 0s 2ms/step - loss: 1.9446
16/16 [==============================] - 0s 2ms/step - loss: 1.9446
16/16 [==============================] - 0s 1ms/step - loss: 1.9446
Epoch 54 of 60

Testing for epoch 54 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.9179
16/16 [==============================] - 0s 3ms/step - loss: 1.9192
16/16 [==============================] - 0s 3ms/step - loss: 1.9608
16/16 [==============================] - 0s 3ms/step - loss: 1.9705
16/16 [==============================] - 0s 2ms/step - loss: 1.9734
16/16 [==============================] - 0s 2ms/step - loss: 1.9744
16/16 [==============================] - 0s 1ms/step - loss: 1.9749
16/16 [==============================] - 0s 3ms/step - loss: 1.9749
16/16 [==============================] - 0s 4ms/step - loss: 1.9750
16/16 [==============================] - 0s 2ms/step - loss: 1.9750

Testing for epoch 54 index 2:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.9256
16/16 [==============================] - 0s 3ms/step - loss: 1.9116
16/16 [==============================] - 0s 4ms/step - loss: 1.9523
16/16 [==============================] - 0s 3ms/step - loss: 1.9621
16/16 [==============================] - 0s 1ms/step - loss: 1.9648
16/16 [==============================] - 0s 3ms/step - loss: 1.9659
16/16 [==============================] - 0s 2ms/step - loss: 1.9664
16/16 [==============================] - 0s 2ms/step - loss: 1.9665
16/16 [==============================] - 0s 2ms/step - loss: 1.9665
16/16 [==============================] - 0s 6ms/step - loss: 1.9665
Epoch 55 of 60

Testing for epoch 55 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.9342
16/16 [==============================] - 0s 3ms/step - loss: 1.9271
16/16 [==============================] - 0s 3ms/step - loss: 1.9680
16/16 [==============================] - 0s 3ms/step - loss: 1.9777
16/16 [==============================] - 0s 2ms/step - loss: 1.9805
16/16 [==============================] - 0s 3ms/step - loss: 1.9815
16/16 [==============================] - 0s 3ms/step - loss: 1.9820
16/16 [==============================] - 0s 3ms/step - loss: 1.9821
16/16 [==============================] - 0s 2ms/step - loss: 1.9821
16/16 [==============================] - 0s 2ms/step - loss: 1.9821

Testing for epoch 55 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.9482
16/16 [==============================] - 0s 2ms/step - loss: 1.9378
16/16 [==============================] - 0s 3ms/step - loss: 1.9782
16/16 [==============================] - 0s 1ms/step - loss: 1.9879
16/16 [==============================] - 0s 3ms/step - loss: 1.9907
16/16 [==============================] - 0s 4ms/step - loss: 1.9918
16/16 [==============================] - 0s 2ms/step - loss: 1.9922
16/16 [==============================] - 0s 2ms/step - loss: 1.9923
16/16 [==============================] - 0s 5ms/step - loss: 1.9924
16/16 [==============================] - 0s 3ms/step - loss: 1.9924
Epoch 56 of 60

Testing for epoch 56 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.9552
16/16 [==============================] - 0s 5ms/step - loss: 1.9491
16/16 [==============================] - 0s 4ms/step - loss: 1.9897
16/16 [==============================] - 0s 2ms/step - loss: 1.9995
16/16 [==============================] - 0s 2ms/step - loss: 2.0022
16/16 [==============================] - 0s 4ms/step - loss: 2.0033
16/16 [==============================] - 0s 4ms/step - loss: 2.0038
16/16 [==============================] - 0s 4ms/step - loss: 2.0039
16/16 [==============================] - 0s 2ms/step - loss: 2.0040
16/16 [==============================] - 0s 2ms/step - loss: 2.0040

Testing for epoch 56 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.9629
16/16 [==============================] - 0s 2ms/step - loss: 1.9433
16/16 [==============================] - 0s 3ms/step - loss: 1.9830
16/16 [==============================] - 0s 2ms/step - loss: 1.9926
16/16 [==============================] - 0s 3ms/step - loss: 1.9953
16/16 [==============================] - 0s 2ms/step - loss: 1.9963
16/16 [==============================] - 0s 2ms/step - loss: 1.9968
16/16 [==============================] - 0s 4ms/step - loss: 1.9969
16/16 [==============================] - 0s 1ms/step - loss: 1.9969
16/16 [==============================] - 0s 2ms/step - loss: 1.9969
Epoch 57 of 60

Testing for epoch 57 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.9767
16/16 [==============================] - 0s 5ms/step - loss: 1.9728
16/16 [==============================] - 0s 2ms/step - loss: 2.0129
16/16 [==============================] - 0s 2ms/step - loss: 2.0226
16/16 [==============================] - 0s 2ms/step - loss: 2.0253
16/16 [==============================] - 0s 2ms/step - loss: 2.0263
16/16 [==============================] - 0s 2ms/step - loss: 2.0268
16/16 [==============================] - 0s 2ms/step - loss: 2.0269
16/16 [==============================] - 0s 3ms/step - loss: 2.0269
16/16 [==============================] - 0s 3ms/step - loss: 2.0269

Testing for epoch 57 index 2:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.9870
16/16 [==============================] - 0s 6ms/step - loss: 1.9750
16/16 [==============================] - 0s 4ms/step - loss: 2.0146
16/16 [==============================] - 0s 3ms/step - loss: 2.0241
16/16 [==============================] - 0s 5ms/step - loss: 2.0268
16/16 [==============================] - 0s 3ms/step - loss: 2.0279
16/16 [==============================] - 0s 2ms/step - loss: 2.0283
16/16 [==============================] - 0s 5ms/step - loss: 2.0285
16/16 [==============================] - 0s 2ms/step - loss: 2.0285
16/16 [==============================] - 0s 2ms/step - loss: 2.0285
Epoch 58 of 60

Testing for epoch 58 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.9943
16/16 [==============================] - 0s 4ms/step - loss: 1.9869
16/16 [==============================] - 0s 2ms/step - loss: 2.0265
16/16 [==============================] - 0s 2ms/step - loss: 2.0361
16/16 [==============================] - 0s 3ms/step - loss: 2.0387
16/16 [==============================] - 0s 3ms/step - loss: 2.0397
16/16 [==============================] - 0s 4ms/step - loss: 2.0402
16/16 [==============================] - 0s 1ms/step - loss: 2.0402
16/16 [==============================] - 0s 2ms/step - loss: 2.0403
16/16 [==============================] - 0s 2ms/step - loss: 2.0403

Testing for epoch 58 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 1.0099
16/16 [==============================] - 0s 2ms/step - loss: 2.0027
16/16 [==============================] - 0s 3ms/step - loss: 2.0419
16/16 [==============================] - 0s 2ms/step - loss: 2.0514
16/16 [==============================] - 0s 4ms/step - loss: 2.0540
16/16 [==============================] - 0s 2ms/step - loss: 2.0550
16/16 [==============================] - 0s 3ms/step - loss: 2.0555
16/16 [==============================] - 0s 2ms/step - loss: 2.0556
16/16 [==============================] - 0s 2ms/step - loss: 2.0556
16/16 [==============================] - 0s 2ms/step - loss: 2.0556
Epoch 59 of 60

Testing for epoch 59 index 1:
32/32 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 1.0154
16/16 [==============================] - 0s 3ms/step - loss: 2.0094
16/16 [==============================] - 0s 3ms/step - loss: 2.0486
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16/16 [==============================] - 0s 1ms/step - loss: 2.0608
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16/16 [==============================] - 0s 2ms/step - loss: 2.0623
16/16 [==============================] - 0s 2ms/step - loss: 2.0623

Testing for epoch 59 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 1.0288
16/16 [==============================] - 0s 2ms/step - loss: 2.0178
16/16 [==============================] - 0s 3ms/step - loss: 2.0566
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16/16 [==============================] - 0s 2ms/step - loss: 2.0702
16/16 [==============================] - 0s 2ms/step - loss: 2.0702
Epoch 60 of 60

Testing for epoch 60 index 1:
32/32 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 1.0293
16/16 [==============================] - 0s 5ms/step - loss: 2.0099
16/16 [==============================] - 0s 2ms/step - loss: 2.0484
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Testing for epoch 60 index 2:
32/32 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 1.0548
16/16 [==============================] - 0s 2ms/step - loss: 2.0494
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32/32 [==============================] - 0s 2ms/step

outlier_MO_GAAL_one = list(clf.labels_)

outlier_MO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_MO_GAAL_one))

_conf = Conf_matrx(outlier_true_one,outlier_MO_GAAL_one)

_conf.conf("MO-GAAL (Liu et al., 2019)")

Accuracy: 0.951
Precision: 0.951
Recall: 1.000
F1 Score: 0.975

LSCP

detectors = [KNN(), LOF(), OCSVM()]
clf = LSCP(detectors,contamination=0.05, random_state=77)
clf.fit(_df[['x', 'y','f']])
_df['LSCP_clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/pyod/models/lscp.py:382: UserWarning: The number of histogram bins is greater than the number of classifiers, reducing n_bins to n_clf.
  warnings.warn(

outlier_LSCP_one = list(clf.labels_)

outlier_LSCP_one = list(map(lambda x: 1 if x==0  else -1,outlier_LSCP_one))

_conf = Conf_matrx(outlier_true_one,outlier_LSCP_one)

_conf.conf("LSCP (Zhao et al., 2019)")

Accuracy: 0.995
Precision: 0.998
Recall: 0.997
F1 Score: 0.997

Bunny

G = graphs.Bunny()
n = G.N

g = filters.Heat(G, tau=75) 

n=2503

np.random.seed(1212)
normal = np.around(np.random.normal(size=n),15)
unif = np.concatenate([np.random.uniform(low=3,high=7,size=60), np.random.uniform(low=-7,high=-3,size=60),np.zeros(n-120)]); np.random.shuffle(unif)
noise = normal + unif

f = np.zeros(n)
f[1000] = -3234
f = g.filter(f, method='chebyshev') 

2023-08-07 21:36:53,380:[WARNING](pygsp.graphs.graph.lmax): The largest eigenvalue G.lmax is not available, we need to estimate it. Explicitly call G.estimate_lmax() or G.compute_fourier_basis() once beforehand to suppress the warning.

G.coords.shape

(2503, 3)

_W = G.W.toarray()
_x = G.coords[:,0]
_y = G.coords[:,1]
_z = -G.coords[:,2]

_df1 = {'W':_W,'x':_x,'y':_y,'z':_z, 'fnoise':f+noise,'f' : f, 'noise': noise,'unif':unif}

_df = pd.DataFrame({'x': _df1['x'],'y':_df1['y'],'z':_df1['z'],'fnoise':_df1['fnoise'],'f':_df1['f'],'noise':_df1['noise']})

unif = _df1['unif']

outlier_true_one_2 = unif.copy()

outlier_true_one_2 = list(map(lambda x: -1 if x !=0  else 1,outlier_true_one_2))

X = np.array(_df)[:,:4]

GODE

_W = _df1['W']

_BUNNY = BUNNY(_df)

_BUNNY.fit(sd=20,ref=10)

len(_BUNNY.f)

2503

2503*0.05

125.15

outlier_simul_one = (_BUNNY.df['Residual']**2).tolist()

sorted_data = sorted(outlier_simul_one,reverse=True)
index = int(len(sorted_data) * 0.05)
threshold = sorted_data[index]
outlier_simul_one = list(map(lambda x: -1 if x > threshold else 1,outlier_simul_one))

outlier_simul_one.count(1)

2378

outlier_simul_one.count(-1)

125

_conf = Conf_matrx(outlier_true_one_2,outlier_simul_one)

_conf.conf("GODE")

Accuracy: 0.988
Precision: 0.995
Recall: 0.993
F1 Score: 0.994

LOF

np.random.seed(77)
clf = LocalOutlierFactor(contamination=0.05)

_conf = Conf_matrx(outlier_true_one_2,clf.fit_predict(X))

_conf.conf("LOF (Breunig et al., 2000)")

Accuracy: 0.943
Precision: 0.971
Recall: 0.969
F1 Score: 0.970

KNN

np.random.seed(77)
clf = KNN(contamination=0.05)
clf.fit(_df[['x', 'y','fnoise']])
_df['knn_Clf'] = clf.labels_

outlier_KNN_one = list(clf.labels_)

outlier_KNN_one = list(map(lambda x: 1 if x==0  else -1,outlier_KNN_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_KNN_one)

_conf.conf("kNN (Ramaswamy et al., 2000)")

Accuracy: 0.987
Precision: 0.995
Recall: 0.992
F1 Score: 0.993

CBLOF

clf = CBLOF(contamination=0.05,random_state=77)
clf.fit(_df[['x', 'y','fnoise']])
_df['CBLOF_Clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning
  super()._check_params_vs_input(X, default_n_init=10)

outlier_CBLOF_one = list(clf.labels_)

outlier_CBLOF_one = list(map(lambda x: 1 if x==0  else -1,outlier_CBLOF_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_CBLOF_one)

_conf.conf("CBLOF (He et al., 2003)")

Accuracy: 0.981
Precision: 0.991
Recall: 0.989
F1 Score: 0.990

OCSVM

np.random.seed(77)
clf = svm.OneClassSVM(nu=0.05)

clf.fit(X)

OneClassSVM(nu=0.05)

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outlier_OSVM_one = list(clf.predict(X))

_conf = Conf_matrx(outlier_true_one_2,outlier_OSVM_one)

_conf.conf("OCSVM (Sch ̈olkopf et al., 2001)")

Accuracy: 0.960
Precision: 0.980
Recall: 0.978
F1 Score: 0.979

MCD

clf = MCD(contamination=0.05 , random_state = 77)
clf.fit(_df[['x', 'y','fnoise']])
_df['MCD_clf'] = clf.labels_

outlier_MCD_one = list(clf.labels_)

outlier_MCD_one = list(map(lambda x: 1 if x==0  else -1,outlier_MCD_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_MCD_one)

_conf.conf("MCD (Hardin and Rocke, 2004)")

Accuracy: 0.978
Precision: 0.990
Recall: 0.987
F1 Score: 0.989

Feature Bagging

clf = FeatureBagging(contamination=0.05, random_state=77)
clf.fit(_df[['x', 'y','fnoise']])
_df['FeatureBagging_clf'] = clf.labels_

outlier_FeatureBagging_one = list(clf.labels_)

outlier_FeatureBagging_one = list(map(lambda x: 1 if x==0  else -1,outlier_FeatureBagging_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_FeatureBagging_one)

_conf.conf("Feature Bagging (Lazarevic and Kumar, 2005)")

Accuracy: 0.949
Precision: 0.974
Recall: 0.972
F1 Score: 0.973

ABOD

np.random.seed(77)
clf = ABOD(contamination=0.05)
clf.fit(_df[['x', 'y','fnoise']])
_df['ABOD_Clf'] = clf.labels_

outlier_ABOD_one = list(clf.labels_)

outlier_ABOD_one = list(map(lambda x: 1 if x==0  else -1,outlier_ABOD_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_ABOD_one)

_conf.conf("ABOD (Kriegel et al., 2008)")

Accuracy: 0.979
Precision: 0.990
Recall: 0.988
F1 Score: 0.989

IForest

np.random.seed(77)
od = IForest(
    threshold=0.
)

od.fit(_df[['x', 'y','fnoise']])

preds = od.predict(
    _df[['x', 'y','fnoise']],
    return_instance_score=True
)

_df['IF_alibi'] = preds['data']['is_outlier']

outlier_alibi_one = _df['IF_alibi']

outlier_alibi_one = list(map(lambda x: 1 if x==0  else -1,outlier_alibi_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_alibi_one)

_conf.conf("Isolation Forest (Liu et al., 2008)")

Accuracy: 0.763
Precision: 0.997
Recall: 0.754
F1 Score: 0.859

HBOS

np.random.seed(77)
clf = HBOS(contamination=0.05)
clf.fit(_df[['x', 'y','fnoise']])
_df['HBOS_clf'] = clf.labels_

outlier_HBOS_one = list(clf.labels_)

outlier_HBOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_HBOS_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_HBOS_one)

_conf.conf("HBOS (Goldstein and Dengel, 2012)")

Accuracy: 0.932
Precision: 0.966
Recall: 0.963
F1 Score: 0.964

SOS

np.random.seed(77)
clf = SOS(contamination=0.05)
clf.fit(_df[['x', 'y','fnoise']])
_df['SOS_clf'] = clf.labels_

outlier_SOS_one = list(clf.labels_)

outlier_SOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_SOS_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_SOS_one)

_conf.conf("SOS (Janssens et al., 2012)")

Accuracy: 0.909
Precision: 0.953
Recall: 0.951
F1 Score: 0.952

SO_GAAL

np.random.seed(77)
clf = SO_GAAL(contamination=0.05)
clf.fit(_df[['x', 'y','fnoise']])
_df['SO_GAAL_clf'] = clf.labels_

Epoch 1 of 60

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Epoch 6 of 60

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Epoch 9 of 60

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Epoch 10 of 60

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Epoch 11 of 60

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Epoch 12 of 60

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Epoch 13 of 60

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Epoch 14 of 60

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Epoch 15 of 60

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Epoch 16 of 60

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Epoch 17 of 60

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Epoch 18 of 60

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Epoch 19 of 60

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Epoch 20 of 60

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Epoch 21 of 60

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Epoch 22 of 60

Testing for epoch 22 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 1.8868

Testing for epoch 22 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 1.8772

Testing for epoch 22 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 1.8887

Testing for epoch 22 index 4:
16/16 [==============================] - 0s 5ms/step - loss: 1.8562

Testing for epoch 22 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 1.9486
Epoch 23 of 60

Testing for epoch 23 index 1:
16/16 [==============================] - 0s 6ms/step - loss: 1.9176

Testing for epoch 23 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 1.9855

Testing for epoch 23 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 1.9812

Testing for epoch 23 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 1.9243

Testing for epoch 23 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 1.9255
Epoch 24 of 60

Testing for epoch 24 index 1:
16/16 [==============================] - 0s 5ms/step - loss: 1.9944

Testing for epoch 24 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 1.9362

Testing for epoch 24 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 1.9734

Testing for epoch 24 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 1.9751

Testing for epoch 24 index 5:
16/16 [==============================] - 0s 5ms/step - loss: 1.9644
Epoch 25 of 60

Testing for epoch 25 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.0647

Testing for epoch 25 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 1.9984

Testing for epoch 25 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.0009

Testing for epoch 25 index 4:
16/16 [==============================] - 0s 5ms/step - loss: 2.0446

Testing for epoch 25 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.0498
Epoch 26 of 60

Testing for epoch 26 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.0667

Testing for epoch 26 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 2.0854

Testing for epoch 26 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.0019

Testing for epoch 26 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.0755

Testing for epoch 26 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.0427
Epoch 27 of 60

Testing for epoch 27 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.1161

Testing for epoch 27 index 2:
16/16 [==============================] - 0s 6ms/step - loss: 2.0686

Testing for epoch 27 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.0818

Testing for epoch 27 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.1123

Testing for epoch 27 index 5:
16/16 [==============================] - 0s 6ms/step - loss: 2.1254
Epoch 28 of 60

Testing for epoch 28 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 2.1291

Testing for epoch 28 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 2.1504

Testing for epoch 28 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 2.0832

Testing for epoch 28 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.0723

Testing for epoch 28 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.1052
Epoch 29 of 60

Testing for epoch 29 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.1264

Testing for epoch 29 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 2.0894

Testing for epoch 29 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 2.0912

Testing for epoch 29 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.0643

Testing for epoch 29 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.0802
Epoch 30 of 60

Testing for epoch 30 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.1155

Testing for epoch 30 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.1487

Testing for epoch 30 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 2.1994

Testing for epoch 30 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.1568

Testing for epoch 30 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.1268
Epoch 31 of 60

Testing for epoch 31 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.1608

Testing for epoch 31 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 2.2094

Testing for epoch 31 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.1866

Testing for epoch 31 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.1592

Testing for epoch 31 index 5:
16/16 [==============================] - 0s 5ms/step - loss: 2.2420
Epoch 32 of 60

Testing for epoch 32 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.1566

Testing for epoch 32 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 2.2327

Testing for epoch 32 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 2.2063

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16/16 [==============================] - 0s 2ms/step - loss: 2.2047

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16/16 [==============================] - 0s 3ms/step - loss: 2.2300
Epoch 33 of 60

Testing for epoch 33 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.2509

Testing for epoch 33 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.1841

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16/16 [==============================] - 0s 2ms/step - loss: 2.2898

Testing for epoch 33 index 4:
16/16 [==============================] - 0s 6ms/step - loss: 2.2197

Testing for epoch 33 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.2689
Epoch 34 of 60

Testing for epoch 34 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.2118

Testing for epoch 34 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.2311

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16/16 [==============================] - 0s 2ms/step - loss: 2.1871

Testing for epoch 34 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.2625

Testing for epoch 34 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.2703
Epoch 35 of 60

Testing for epoch 35 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.2657

Testing for epoch 35 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.2720

Testing for epoch 35 index 3:
16/16 [==============================] - 0s 1ms/step - loss: 2.2623

Testing for epoch 35 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.2601

Testing for epoch 35 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.3035
Epoch 36 of 60

Testing for epoch 36 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.2788

Testing for epoch 36 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.2946

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16/16 [==============================] - 0s 3ms/step - loss: 2.3145

Testing for epoch 36 index 4:
16/16 [==============================] - 0s 1ms/step - loss: 2.3570

Testing for epoch 36 index 5:
16/16 [==============================] - 0s 9ms/step - loss: 2.2831
Epoch 37 of 60

Testing for epoch 37 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.3024

Testing for epoch 37 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.2658

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16/16 [==============================] - 0s 2ms/step - loss: 2.2943

Testing for epoch 37 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.3083

Testing for epoch 37 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.2862
Epoch 38 of 60

Testing for epoch 38 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.2938

Testing for epoch 38 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.2678

Testing for epoch 38 index 3:
16/16 [==============================] - 0s 6ms/step - loss: 2.2855

Testing for epoch 38 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.3210

Testing for epoch 38 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.2751
Epoch 39 of 60

Testing for epoch 39 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.3360

Testing for epoch 39 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 2.2934

Testing for epoch 39 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 2.3500

Testing for epoch 39 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.3604

Testing for epoch 39 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 2.3684
Epoch 40 of 60

Testing for epoch 40 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.3895

Testing for epoch 40 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.3918

Testing for epoch 40 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 2.4336

Testing for epoch 40 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.3324

Testing for epoch 40 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.3327
Epoch 41 of 60

Testing for epoch 41 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.3738

Testing for epoch 41 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 2.3800

Testing for epoch 41 index 3:
16/16 [==============================] - 0s 5ms/step - loss: 2.3480

Testing for epoch 41 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.3756

Testing for epoch 41 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 2.3571
Epoch 42 of 60

Testing for epoch 42 index 1:
16/16 [==============================] - 0s 5ms/step - loss: 2.4461

Testing for epoch 42 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.4183

Testing for epoch 42 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 2.3624

Testing for epoch 42 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.3387

Testing for epoch 42 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.4263
Epoch 43 of 60

Testing for epoch 43 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.3656

Testing for epoch 43 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.3710

Testing for epoch 43 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.4077

Testing for epoch 43 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.4999

Testing for epoch 43 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.4584
Epoch 44 of 60

Testing for epoch 44 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.4233

Testing for epoch 44 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.4038

Testing for epoch 44 index 3:
16/16 [==============================] - 0s 5ms/step - loss: 2.4331

Testing for epoch 44 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.4516

Testing for epoch 44 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.4211
Epoch 45 of 60

Testing for epoch 45 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.5143

Testing for epoch 45 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 2.4589

Testing for epoch 45 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 2.4707

Testing for epoch 45 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.4215

Testing for epoch 45 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 2.4466
Epoch 46 of 60

Testing for epoch 46 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.4665

Testing for epoch 46 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.4648

Testing for epoch 46 index 3:
16/16 [==============================] - 0s 5ms/step - loss: 2.4685

Testing for epoch 46 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.5758

Testing for epoch 46 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 2.3852
Epoch 47 of 60

Testing for epoch 47 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.4782

Testing for epoch 47 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.4547

Testing for epoch 47 index 3:
16/16 [==============================] - 0s 8ms/step - loss: 2.4833

Testing for epoch 47 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.4636

Testing for epoch 47 index 5:
16/16 [==============================] - 0s 5ms/step - loss: 2.4276
Epoch 48 of 60

Testing for epoch 48 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.4787

Testing for epoch 48 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.4926

Testing for epoch 48 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.4306

Testing for epoch 48 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.5168

Testing for epoch 48 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.5090
Epoch 49 of 60

Testing for epoch 49 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.4666

Testing for epoch 49 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.5259

Testing for epoch 49 index 3:
16/16 [==============================] - 0s 5ms/step - loss: 2.4382

Testing for epoch 49 index 4:
16/16 [==============================] - 0s 6ms/step - loss: 2.5303

Testing for epoch 49 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.4551
Epoch 50 of 60

Testing for epoch 50 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.5658

Testing for epoch 50 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.5350

Testing for epoch 50 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 2.5615

Testing for epoch 50 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.5049

Testing for epoch 50 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.5100
Epoch 51 of 60

Testing for epoch 51 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.5741

Testing for epoch 51 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.5279

Testing for epoch 51 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.5310

Testing for epoch 51 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.5478

Testing for epoch 51 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.5169
Epoch 52 of 60

Testing for epoch 52 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.5012

Testing for epoch 52 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 2.5198

Testing for epoch 52 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.5311

Testing for epoch 52 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.5195

Testing for epoch 52 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 2.5523
Epoch 53 of 60

Testing for epoch 53 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.5324

Testing for epoch 53 index 2:
16/16 [==============================] - 0s 6ms/step - loss: 2.5148

Testing for epoch 53 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.6298

Testing for epoch 53 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.4747

Testing for epoch 53 index 5:
16/16 [==============================] - 0s 9ms/step - loss: 2.5597
Epoch 54 of 60

Testing for epoch 54 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.5132

Testing for epoch 54 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 2.5775

Testing for epoch 54 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 2.5691

Testing for epoch 54 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.5995

Testing for epoch 54 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.6577
Epoch 55 of 60

Testing for epoch 55 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.5769

Testing for epoch 55 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.6141

Testing for epoch 55 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.6181

Testing for epoch 55 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 2.5613

Testing for epoch 55 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.5649
Epoch 56 of 60

Testing for epoch 56 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 2.5987

Testing for epoch 56 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.5844

Testing for epoch 56 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.5491

Testing for epoch 56 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.5555

Testing for epoch 56 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.5764
Epoch 57 of 60

Testing for epoch 57 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.5847

Testing for epoch 57 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 2.5680

Testing for epoch 57 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 2.6375

Testing for epoch 57 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.6519

Testing for epoch 57 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.5460
Epoch 58 of 60

Testing for epoch 58 index 1:
16/16 [==============================] - 0s 1ms/step - loss: 2.6781

Testing for epoch 58 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.6458

Testing for epoch 58 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.7059

Testing for epoch 58 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.5829

Testing for epoch 58 index 5:
16/16 [==============================] - 0s 6ms/step - loss: 2.6122
Epoch 59 of 60

Testing for epoch 59 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 2.5985

Testing for epoch 59 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 2.5867

Testing for epoch 59 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 2.6015

Testing for epoch 59 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 2.6068

Testing for epoch 59 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 2.6049
Epoch 60 of 60

Testing for epoch 60 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 2.6718

Testing for epoch 60 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 2.7253

Testing for epoch 60 index 3:
16/16 [==============================] - 0s 5ms/step - loss: 2.6596

Testing for epoch 60 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 2.6185

Testing for epoch 60 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 2.6443
79/79 [==============================] - 0s 2ms/step

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

outlier_SO_GAAL_one = list(clf.labels_)

outlier_SO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_SO_GAAL_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_SO_GAAL_one)

_conf.conf("SO-GAAL (Liu et al., 2019)")

Accuracy: 0.952
Precision: 0.952
Recall: 1.000
F1 Score: 0.975

MO_GAAL

np.random.seed(77)
clf = MO_GAAL(contamination=0.05)
clf.fit(_df[['x', 'y','fnoise']])
_df['MO_GAAL_clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

Epoch 1 of 60

Testing for epoch 1 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 1 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 1 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 1 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 1 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 2 of 60

Testing for epoch 2 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 2 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 2 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 2 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 2 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 3 of 60

Testing for epoch 3 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 3 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 3 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 3 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 3 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 4 of 60

Testing for epoch 4 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 4 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 4 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 4 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 4 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 5 of 60

Testing for epoch 5 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 5 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 5 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 5 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 5 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 6 of 60

Testing for epoch 6 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 6 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 6 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 6 index 4:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 6 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 7 of 60

Testing for epoch 7 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 7 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 7 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 7 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 7 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 8 of 60

Testing for epoch 8 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 8 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 8 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 8 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 8 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 9 of 60

Testing for epoch 9 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 9 index 2:
79/79 [==============================] - 0s 3ms/step

Testing for epoch 9 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 9 index 4:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 9 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 10 of 60

Testing for epoch 10 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 10 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 10 index 3:
79/79 [==============================] - 0s 3ms/step

Testing for epoch 10 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 10 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 11 of 60

Testing for epoch 11 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 11 index 2:
79/79 [==============================] - 0s 990us/step

Testing for epoch 11 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 11 index 4:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 11 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 12 of 60

Testing for epoch 12 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 12 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 12 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 12 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 12 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 13 of 60

Testing for epoch 13 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 13 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 13 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 13 index 4:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 13 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 14 of 60

Testing for epoch 14 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 14 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 14 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 14 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 14 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 15 of 60

Testing for epoch 15 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 15 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 15 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 15 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 15 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 16 of 60

Testing for epoch 16 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 16 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 16 index 3:
79/79 [==============================] - 0s 959us/step

Testing for epoch 16 index 4:
79/79 [==============================] - 0s 894us/step

Testing for epoch 16 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 17 of 60

Testing for epoch 17 index 1:
79/79 [==============================] - 0s 782us/step

Testing for epoch 17 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 17 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 17 index 4:
79/79 [==============================] - 0s 3ms/step

Testing for epoch 17 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 18 of 60

Testing for epoch 18 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 18 index 2:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 18 index 3:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 18 index 4:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 18 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 19 of 60

Testing for epoch 19 index 1:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 19 index 2:
79/79 [==============================] - 0s 993us/step

Testing for epoch 19 index 3:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 19 index 4:
79/79 [==============================] - 0s 870us/step

Testing for epoch 19 index 5:
79/79 [==============================] - 0s 1ms/step
Epoch 20 of 60

Testing for epoch 20 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 20 index 2:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 20 index 3:
79/79 [==============================] - 0s 3ms/step

Testing for epoch 20 index 4:
79/79 [==============================] - 0s 1ms/step

Testing for epoch 20 index 5:
79/79 [==============================] - 0s 2ms/step
Epoch 21 of 60

Testing for epoch 21 index 1:
79/79 [==============================] - 0s 2ms/step

Testing for epoch 21 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2358
16/16 [==============================] - 0s 1ms/step - loss: 1.3216
16/16 [==============================] - 0s 1ms/step - loss: 1.5385
16/16 [==============================] - 0s 857us/step - loss: 1.6216
16/16 [==============================] - 0s 2ms/step - loss: 1.6391
16/16 [==============================] - 0s 845us/step - loss: 1.6386
16/16 [==============================] - 0s 882us/step - loss: 1.6361
16/16 [==============================] - 0s 959us/step - loss: 1.6313
16/16 [==============================] - 0s 1ms/step - loss: 1.6272
16/16 [==============================] - 0s 2ms/step - loss: 1.6247

Testing for epoch 21 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2353
16/16 [==============================] - 0s 946us/step - loss: 1.3482
16/16 [==============================] - 0s 1ms/step - loss: 1.5754
16/16 [==============================] - 0s 3ms/step - loss: 1.6659
16/16 [==============================] - 0s 2ms/step - loss: 1.6862
16/16 [==============================] - 0s 3ms/step - loss: 1.6874
16/16 [==============================] - 0s 1ms/step - loss: 1.6865
16/16 [==============================] - 0s 1ms/step - loss: 1.6820
16/16 [==============================] - 0s 1ms/step - loss: 1.6779
16/16 [==============================] - 0s 1ms/step - loss: 1.6754

Testing for epoch 21 index 4:
79/79 [==============================] - 0s 871us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.2319
16/16 [==============================] - 0s 2ms/step - loss: 1.3322
16/16 [==============================] - 0s 2ms/step - loss: 1.5513
16/16 [==============================] - 0s 1ms/step - loss: 1.6341
16/16 [==============================] - 0s 1ms/step - loss: 1.6507
16/16 [==============================] - 0s 2ms/step - loss: 1.6492
16/16 [==============================] - 0s 2ms/step - loss: 1.6457
16/16 [==============================] - 0s 1ms/step - loss: 1.6404
16/16 [==============================] - 0s 3ms/step - loss: 1.6362
16/16 [==============================] - 0s 3ms/step - loss: 1.6339

Testing for epoch 21 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2318
16/16 [==============================] - 0s 3ms/step - loss: 1.3861
16/16 [==============================] - 0s 2ms/step - loss: 1.6288
16/16 [==============================] - 0s 3ms/step - loss: 1.7222
16/16 [==============================] - 0s 3ms/step - loss: 1.7427
16/16 [==============================] - 0s 2ms/step - loss: 1.7429
16/16 [==============================] - 0s 2ms/step - loss: 1.7404
16/16 [==============================] - 0s 2ms/step - loss: 1.7350
16/16 [==============================] - 0s 1ms/step - loss: 1.7306
16/16 [==============================] - 0s 2ms/step - loss: 1.7280
Epoch 22 of 60

Testing for epoch 22 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2296
16/16 [==============================] - 0s 2ms/step - loss: 1.3471
16/16 [==============================] - 0s 4ms/step - loss: 1.5806
16/16 [==============================] - 0s 3ms/step - loss: 1.6666
16/16 [==============================] - 0s 2ms/step - loss: 1.6838
16/16 [==============================] - 0s 2ms/step - loss: 1.6819
16/16 [==============================] - 0s 2ms/step - loss: 1.6783
16/16 [==============================] - 0s 3ms/step - loss: 1.6725
16/16 [==============================] - 0s 4ms/step - loss: 1.6682
16/16 [==============================] - 0s 6ms/step - loss: 1.6657

Testing for epoch 22 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2235
16/16 [==============================] - 0s 2ms/step - loss: 1.4045
16/16 [==============================] - 0s 2ms/step - loss: 1.6620
16/16 [==============================] - 0s 6ms/step - loss: 1.7550
16/16 [==============================] - 0s 2ms/step - loss: 1.7742
16/16 [==============================] - 0s 2ms/step - loss: 1.7728
16/16 [==============================] - 0s 5ms/step - loss: 1.7691
16/16 [==============================] - 0s 2ms/step - loss: 1.7631
16/16 [==============================] - 0s 1ms/step - loss: 1.7585
16/16 [==============================] - 0s 2ms/step - loss: 1.7559

Testing for epoch 22 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.2267
16/16 [==============================] - 0s 3ms/step - loss: 1.3528
16/16 [==============================] - 0s 3ms/step - loss: 1.6029
16/16 [==============================] - 0s 3ms/step - loss: 1.6906
16/16 [==============================] - 0s 2ms/step - loss: 1.7083
16/16 [==============================] - 0s 2ms/step - loss: 1.7065
16/16 [==============================] - 0s 2ms/step - loss: 1.7026
16/16 [==============================] - 0s 2ms/step - loss: 1.6967
16/16 [==============================] - 0s 4ms/step - loss: 1.6922
16/16 [==============================] - 0s 2ms/step - loss: 1.6896

Testing for epoch 22 index 4:
79/79 [==============================] - 0s 753us/step
16/16 [==============================] - 0s 731us/step - loss: 0.2253
16/16 [==============================] - 0s 2ms/step - loss: 1.3836
16/16 [==============================] - 0s 2ms/step - loss: 1.6426
16/16 [==============================] - 0s 868us/step - loss: 1.7315
16/16 [==============================] - 0s 3ms/step - loss: 1.7505
16/16 [==============================] - 0s 3ms/step - loss: 1.7484
16/16 [==============================] - 0s 1ms/step - loss: 1.7440
16/16 [==============================] - 0s 1ms/step - loss: 1.7380
16/16 [==============================] - 0s 882us/step - loss: 1.7334
16/16 [==============================] - 0s 2ms/step - loss: 1.7309

Testing for epoch 22 index 5:
79/79 [==============================] - 0s 698us/step
16/16 [==============================] - 0s 850us/step - loss: 0.2238
16/16 [==============================] - 0s 2ms/step - loss: 1.3613
16/16 [==============================] - 0s 1ms/step - loss: 1.6167
16/16 [==============================] - 0s 1ms/step - loss: 1.7035
16/16 [==============================] - 0s 998us/step - loss: 1.7204
16/16 [==============================] - 0s 1ms/step - loss: 1.7176
16/16 [==============================] - 0s 971us/step - loss: 1.7121
16/16 [==============================] - 0s 1ms/step - loss: 1.7055
16/16 [==============================] - 0s 817us/step - loss: 1.7006
16/16 [==============================] - 0s 1ms/step - loss: 1.6979
Epoch 23 of 60

Testing for epoch 23 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.2203
16/16 [==============================] - 0s 2ms/step - loss: 1.4110
16/16 [==============================] - 0s 2ms/step - loss: 1.6791
16/16 [==============================] - 0s 2ms/step - loss: 1.7740
16/16 [==============================] - 0s 4ms/step - loss: 1.7928
16/16 [==============================] - 0s 2ms/step - loss: 1.7899
16/16 [==============================] - 0s 2ms/step - loss: 1.7845
16/16 [==============================] - 0s 2ms/step - loss: 1.7778
16/16 [==============================] - 0s 2ms/step - loss: 1.7728
16/16 [==============================] - 0s 3ms/step - loss: 1.7700

Testing for epoch 23 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2210
16/16 [==============================] - 0s 5ms/step - loss: 1.3884
16/16 [==============================] - 0s 4ms/step - loss: 1.6463
16/16 [==============================] - 0s 6ms/step - loss: 1.7371
16/16 [==============================] - 0s 4ms/step - loss: 1.7558
16/16 [==============================] - 0s 2ms/step - loss: 1.7533
16/16 [==============================] - 0s 2ms/step - loss: 1.7481
16/16 [==============================] - 0s 2ms/step - loss: 1.7418
16/16 [==============================] - 0s 2ms/step - loss: 1.7370
16/16 [==============================] - 0s 2ms/step - loss: 1.7343

Testing for epoch 23 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2203
16/16 [==============================] - 0s 2ms/step - loss: 1.4071
16/16 [==============================] - 0s 2ms/step - loss: 1.6688
16/16 [==============================] - 0s 3ms/step - loss: 1.7612
16/16 [==============================] - 0s 2ms/step - loss: 1.7808
16/16 [==============================] - 0s 3ms/step - loss: 1.7773
16/16 [==============================] - 0s 3ms/step - loss: 1.7718
16/16 [==============================] - 0s 6ms/step - loss: 1.7652
16/16 [==============================] - 0s 2ms/step - loss: 1.7601
16/16 [==============================] - 0s 6ms/step - loss: 1.7574

Testing for epoch 23 index 4:
79/79 [==============================] - 0s 4ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2163
16/16 [==============================] - 0s 2ms/step - loss: 1.4125
16/16 [==============================] - 0s 3ms/step - loss: 1.6769
16/16 [==============================] - 0s 2ms/step - loss: 1.7747
16/16 [==============================] - 0s 2ms/step - loss: 1.7940
16/16 [==============================] - 0s 2ms/step - loss: 1.7907
16/16 [==============================] - 0s 4ms/step - loss: 1.7850
16/16 [==============================] - 0s 3ms/step - loss: 1.7782
16/16 [==============================] - 0s 2ms/step - loss: 1.7731
16/16 [==============================] - 0s 3ms/step - loss: 1.7703

Testing for epoch 23 index 5:
79/79 [==============================] - 0s 924us/step
16/16 [==============================] - 0s 916us/step - loss: 0.2173
16/16 [==============================] - 0s 865us/step - loss: 1.4011
16/16 [==============================] - 0s 2ms/step - loss: 1.6540
16/16 [==============================] - 0s 907us/step - loss: 1.7501
16/16 [==============================] - 0s 1ms/step - loss: 1.7689
16/16 [==============================] - 0s 4ms/step - loss: 1.7652
16/16 [==============================] - 0s 1ms/step - loss: 1.7590
16/16 [==============================] - 0s 879us/step - loss: 1.7522
16/16 [==============================] - 0s 1ms/step - loss: 1.7473
16/16 [==============================] - 0s 3ms/step - loss: 1.7448
Epoch 24 of 60

Testing for epoch 24 index 1:
79/79 [==============================] - 0s 847us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.2133
16/16 [==============================] - 0s 2ms/step - loss: 1.4078
16/16 [==============================] - 0s 2ms/step - loss: 1.6638
16/16 [==============================] - 0s 1ms/step - loss: 1.7573
16/16 [==============================] - 0s 2ms/step - loss: 1.7742
16/16 [==============================] - 0s 2ms/step - loss: 1.7686
16/16 [==============================] - 0s 1ms/step - loss: 1.7611
16/16 [==============================] - 0s 1ms/step - loss: 1.7537
16/16 [==============================] - 0s 2ms/step - loss: 1.7486
16/16 [==============================] - 0s 2ms/step - loss: 1.7460

Testing for epoch 24 index 2:
79/79 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2122
16/16 [==============================] - 0s 5ms/step - loss: 1.4502
16/16 [==============================] - 0s 2ms/step - loss: 1.7188
16/16 [==============================] - 0s 6ms/step - loss: 1.8209
16/16 [==============================] - 0s 5ms/step - loss: 1.8382
16/16 [==============================] - 0s 1ms/step - loss: 1.8336
16/16 [==============================] - 0s 4ms/step - loss: 1.8266
16/16 [==============================] - 0s 4ms/step - loss: 1.8193
16/16 [==============================] - 0s 2ms/step - loss: 1.8141
16/16 [==============================] - 0s 1ms/step - loss: 1.8115

Testing for epoch 24 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.2129
16/16 [==============================] - 0s 2ms/step - loss: 1.4398
16/16 [==============================] - 0s 2ms/step - loss: 1.7078
16/16 [==============================] - 0s 1ms/step - loss: 1.8123
16/16 [==============================] - 0s 3ms/step - loss: 1.8294
16/16 [==============================] - 0s 2ms/step - loss: 1.8251
16/16 [==============================] - 0s 1ms/step - loss: 1.8188
16/16 [==============================] - 0s 1ms/step - loss: 1.8116
16/16 [==============================] - 0s 2ms/step - loss: 1.8064
16/16 [==============================] - 0s 1ms/step - loss: 1.8038

Testing for epoch 24 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2114
16/16 [==============================] - 0s 3ms/step - loss: 1.4083
16/16 [==============================] - 0s 2ms/step - loss: 1.6697
16/16 [==============================] - 0s 2ms/step - loss: 1.7698
16/16 [==============================] - 0s 2ms/step - loss: 1.7847
16/16 [==============================] - 0s 3ms/step - loss: 1.7795
16/16 [==============================] - 0s 3ms/step - loss: 1.7728
16/16 [==============================] - 0s 2ms/step - loss: 1.7657
16/16 [==============================] - 0s 2ms/step - loss: 1.7606
16/16 [==============================] - 0s 3ms/step - loss: 1.7579

Testing for epoch 24 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.2128
16/16 [==============================] - 0s 2ms/step - loss: 1.4509
16/16 [==============================] - 0s 1ms/step - loss: 1.7229
16/16 [==============================] - 0s 2ms/step - loss: 1.8262
16/16 [==============================] - 0s 3ms/step - loss: 1.8408
16/16 [==============================] - 0s 2ms/step - loss: 1.8348
16/16 [==============================] - 0s 1ms/step - loss: 1.8273
16/16 [==============================] - 0s 2ms/step - loss: 1.8195
16/16 [==============================] - 0s 1ms/step - loss: 1.8140
16/16 [==============================] - 0s 2ms/step - loss: 1.8112
Epoch 25 of 60

Testing for epoch 25 index 1:
79/79 [==============================] - 0s 941us/step
16/16 [==============================] - 0s 965us/step - loss: 0.2131
16/16 [==============================] - 0s 1ms/step - loss: 1.4593
16/16 [==============================] - 0s 1ms/step - loss: 1.7259
16/16 [==============================] - 0s 2ms/step - loss: 1.8298
16/16 [==============================] - 0s 846us/step - loss: 1.8430
16/16 [==============================] - 0s 963us/step - loss: 1.8360
16/16 [==============================] - 0s 1ms/step - loss: 1.8280
16/16 [==============================] - 0s 2ms/step - loss: 1.8199
16/16 [==============================] - 0s 2ms/step - loss: 1.8144
16/16 [==============================] - 0s 2ms/step - loss: 1.8114

Testing for epoch 25 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.2171
16/16 [==============================] - 0s 2ms/step - loss: 1.4724
16/16 [==============================] - 0s 1ms/step - loss: 1.7442
16/16 [==============================] - 0s 1ms/step - loss: 1.8502
16/16 [==============================] - 0s 985us/step - loss: 1.8657
16/16 [==============================] - 0s 1ms/step - loss: 1.8603
16/16 [==============================] - 0s 1ms/step - loss: 1.8530
16/16 [==============================] - 0s 1ms/step - loss: 1.8454
16/16 [==============================] - 0s 1ms/step - loss: 1.8400
16/16 [==============================] - 0s 1ms/step - loss: 1.8373

Testing for epoch 25 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2129
16/16 [==============================] - 0s 2ms/step - loss: 1.5133
16/16 [==============================] - 0s 3ms/step - loss: 1.7962
16/16 [==============================] - 0s 2ms/step - loss: 1.9041
16/16 [==============================] - 0s 4ms/step - loss: 1.9198
16/16 [==============================] - 0s 2ms/step - loss: 1.9137
16/16 [==============================] - 0s 3ms/step - loss: 1.9058
16/16 [==============================] - 0s 4ms/step - loss: 1.8977
16/16 [==============================] - 0s 2ms/step - loss: 1.8921
16/16 [==============================] - 0s 1ms/step - loss: 1.8893

Testing for epoch 25 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.2100
16/16 [==============================] - 0s 2ms/step - loss: 1.5043
16/16 [==============================] - 0s 5ms/step - loss: 1.7814
16/16 [==============================] - 0s 3ms/step - loss: 1.8876
16/16 [==============================] - 0s 4ms/step - loss: 1.9031
16/16 [==============================] - 0s 2ms/step - loss: 1.8963
16/16 [==============================] - 0s 2ms/step - loss: 1.8874
16/16 [==============================] - 0s 2ms/step - loss: 1.8791
16/16 [==============================] - 0s 3ms/step - loss: 1.8735
16/16 [==============================] - 0s 3ms/step - loss: 1.8706

Testing for epoch 25 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2113
16/16 [==============================] - 0s 1ms/step - loss: 1.4811
16/16 [==============================] - 0s 1ms/step - loss: 1.7505
16/16 [==============================] - 0s 5ms/step - loss: 1.8495
16/16 [==============================] - 0s 7ms/step - loss: 1.8641
16/16 [==============================] - 0s 2ms/step - loss: 1.8572
16/16 [==============================] - 0s 2ms/step - loss: 1.8481
16/16 [==============================] - 0s 2ms/step - loss: 1.8397
16/16 [==============================] - 0s 4ms/step - loss: 1.8342
16/16 [==============================] - 0s 3ms/step - loss: 1.8315
Epoch 26 of 60

Testing for epoch 26 index 1:
79/79 [==============================] - 0s 939us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2114
16/16 [==============================] - 0s 2ms/step - loss: 1.5134
16/16 [==============================] - 0s 2ms/step - loss: 1.7862
16/16 [==============================] - 0s 2ms/step - loss: 1.8842
16/16 [==============================] - 0s 2ms/step - loss: 1.8980
16/16 [==============================] - 0s 7ms/step - loss: 1.8894
16/16 [==============================] - 0s 1ms/step - loss: 1.8789
16/16 [==============================] - 0s 1ms/step - loss: 1.8699
16/16 [==============================] - 0s 4ms/step - loss: 1.8641
16/16 [==============================] - 0s 2ms/step - loss: 1.8612

Testing for epoch 26 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 704us/step - loss: 0.2119
16/16 [==============================] - 0s 2ms/step - loss: 1.5158
16/16 [==============================] - 0s 2ms/step - loss: 1.7944
16/16 [==============================] - 0s 711us/step - loss: 1.8948
16/16 [==============================] - 0s 733us/step - loss: 1.9103
16/16 [==============================] - 0s 1ms/step - loss: 1.9038
16/16 [==============================] - 0s 724us/step - loss: 1.8950
16/16 [==============================] - 0s 4ms/step - loss: 1.8868
16/16 [==============================] - 0s 3ms/step - loss: 1.8812
16/16 [==============================] - 0s 2ms/step - loss: 1.8785

Testing for epoch 26 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2096
16/16 [==============================] - 0s 2ms/step - loss: 1.5047
16/16 [==============================] - 0s 1ms/step - loss: 1.7724
16/16 [==============================] - 0s 905us/step - loss: 1.8676
16/16 [==============================] - 0s 910us/step - loss: 1.8808
16/16 [==============================] - 0s 835us/step - loss: 1.8730
16/16 [==============================] - 0s 1ms/step - loss: 1.8633
16/16 [==============================] - 0s 1ms/step - loss: 1.8548
16/16 [==============================] - 0s 2ms/step - loss: 1.8490
16/16 [==============================] - 0s 773us/step - loss: 1.8463

Testing for epoch 26 index 4:
79/79 [==============================] - 0s 792us/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2036
16/16 [==============================] - 0s 2ms/step - loss: 1.5320
16/16 [==============================] - 0s 3ms/step - loss: 1.8104
16/16 [==============================] - 0s 3ms/step - loss: 1.9093
16/16 [==============================] - 0s 2ms/step - loss: 1.9229
16/16 [==============================] - 0s 2ms/step - loss: 1.9143
16/16 [==============================] - 0s 1ms/step - loss: 1.9034
16/16 [==============================] - 0s 2ms/step - loss: 1.8942
16/16 [==============================] - 0s 6ms/step - loss: 1.8882
16/16 [==============================] - 0s 6ms/step - loss: 1.8854

Testing for epoch 26 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2037
16/16 [==============================] - 0s 2ms/step - loss: 1.5333
16/16 [==============================] - 0s 3ms/step - loss: 1.8112
16/16 [==============================] - 0s 4ms/step - loss: 1.9089
16/16 [==============================] - 0s 2ms/step - loss: 1.9238
16/16 [==============================] - 0s 1ms/step - loss: 1.9160
16/16 [==============================] - 0s 2ms/step - loss: 1.9063
16/16 [==============================] - 0s 2ms/step - loss: 1.8976
16/16 [==============================] - 0s 3ms/step - loss: 1.8917
16/16 [==============================] - 0s 3ms/step - loss: 1.8888
Epoch 27 of 60

Testing for epoch 27 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.2020
16/16 [==============================] - 0s 2ms/step - loss: 1.5115
16/16 [==============================] - 0s 5ms/step - loss: 1.7797
16/16 [==============================] - 0s 2ms/step - loss: 1.8708
16/16 [==============================] - 0s 4ms/step - loss: 1.8840
16/16 [==============================] - 0s 1ms/step - loss: 1.8759
16/16 [==============================] - 0s 1ms/step - loss: 1.8661
16/16 [==============================] - 0s 1ms/step - loss: 1.8576
16/16 [==============================] - 0s 1ms/step - loss: 1.8520
16/16 [==============================] - 0s 2ms/step - loss: 1.8493

Testing for epoch 27 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.2026
16/16 [==============================] - 0s 1ms/step - loss: 1.4933
16/16 [==============================] - 0s 6ms/step - loss: 1.7577
16/16 [==============================] - 0s 2ms/step - loss: 1.8436
16/16 [==============================] - 0s 4ms/step - loss: 1.8561
16/16 [==============================] - 0s 2ms/step - loss: 1.8469
16/16 [==============================] - 0s 2ms/step - loss: 1.8365
16/16 [==============================] - 0s 4ms/step - loss: 1.8277
16/16 [==============================] - 0s 2ms/step - loss: 1.8220
16/16 [==============================] - 0s 2ms/step - loss: 1.8194

Testing for epoch 27 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.2040
16/16 [==============================] - 0s 2ms/step - loss: 1.5378
16/16 [==============================] - 0s 2ms/step - loss: 1.8053
16/16 [==============================] - 0s 1ms/step - loss: 1.8916
16/16 [==============================] - 0s 1ms/step - loss: 1.9026
16/16 [==============================] - 0s 1ms/step - loss: 1.8924
16/16 [==============================] - 0s 1ms/step - loss: 1.8812
16/16 [==============================] - 0s 1ms/step - loss: 1.8719
16/16 [==============================] - 0s 1ms/step - loss: 1.8660
16/16 [==============================] - 0s 1ms/step - loss: 1.8633

Testing for epoch 27 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 869us/step - loss: 0.1954
16/16 [==============================] - 0s 1ms/step - loss: 1.5675
16/16 [==============================] - 0s 3ms/step - loss: 1.8428
16/16 [==============================] - 0s 2ms/step - loss: 1.9299
16/16 [==============================] - 0s 2ms/step - loss: 1.9402
16/16 [==============================] - 0s 3ms/step - loss: 1.9282
16/16 [==============================] - 0s 1ms/step - loss: 1.9154
16/16 [==============================] - 0s 1ms/step - loss: 1.9052
16/16 [==============================] - 0s 2ms/step - loss: 1.8988
16/16 [==============================] - 0s 1ms/step - loss: 1.8959

Testing for epoch 27 index 5:
79/79 [==============================] - 0s 948us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1926
16/16 [==============================] - 0s 955us/step - loss: 1.6224
16/16 [==============================] - 0s 2ms/step - loss: 1.9222
16/16 [==============================] - 0s 1ms/step - loss: 2.0197
16/16 [==============================] - 0s 2ms/step - loss: 2.0341
16/16 [==============================] - 0s 1ms/step - loss: 2.0231
16/16 [==============================] - 0s 2ms/step - loss: 2.0117
16/16 [==============================] - 0s 2ms/step - loss: 2.0016
16/16 [==============================] - 0s 2ms/step - loss: 1.9953
16/16 [==============================] - 0s 4ms/step - loss: 1.9923
Epoch 28 of 60

Testing for epoch 28 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1904
16/16 [==============================] - 0s 3ms/step - loss: 1.5898
16/16 [==============================] - 0s 6ms/step - loss: 1.8756
16/16 [==============================] - 0s 4ms/step - loss: 1.9672
16/16 [==============================] - 0s 2ms/step - loss: 1.9801
16/16 [==============================] - 0s 2ms/step - loss: 1.9692
16/16 [==============================] - 0s 2ms/step - loss: 1.9568
16/16 [==============================] - 0s 2ms/step - loss: 1.9468
16/16 [==============================] - 0s 2ms/step - loss: 1.9406
16/16 [==============================] - 0s 5ms/step - loss: 1.9378

Testing for epoch 28 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1923
16/16 [==============================] - 0s 2ms/step - loss: 1.5509
16/16 [==============================] - 0s 2ms/step - loss: 1.8220
16/16 [==============================] - 0s 2ms/step - loss: 1.9088
16/16 [==============================] - 0s 2ms/step - loss: 1.9197
16/16 [==============================] - 0s 3ms/step - loss: 1.9085
16/16 [==============================] - 0s 3ms/step - loss: 1.8959
16/16 [==============================] - 0s 1ms/step - loss: 1.8859
16/16 [==============================] - 0s 1ms/step - loss: 1.8797
16/16 [==============================] - 0s 2ms/step - loss: 1.8769

Testing for epoch 28 index 3:
79/79 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1878
16/16 [==============================] - 0s 960us/step - loss: 1.6087
16/16 [==============================] - 0s 989us/step - loss: 1.8906
16/16 [==============================] - 0s 5ms/step - loss: 1.9805
16/16 [==============================] - 0s 2ms/step - loss: 1.9915
16/16 [==============================] - 0s 2ms/step - loss: 1.9792
16/16 [==============================] - 0s 3ms/step - loss: 1.9657
16/16 [==============================] - 0s 2ms/step - loss: 1.9552
16/16 [==============================] - 0s 2ms/step - loss: 1.9488
16/16 [==============================] - 0s 2ms/step - loss: 1.9460

Testing for epoch 28 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1849
16/16 [==============================] - 0s 3ms/step - loss: 1.5874
16/16 [==============================] - 0s 2ms/step - loss: 1.8611
16/16 [==============================] - 0s 3ms/step - loss: 1.9448
16/16 [==============================] - 0s 2ms/step - loss: 1.9535
16/16 [==============================] - 0s 2ms/step - loss: 1.9400
16/16 [==============================] - 0s 1ms/step - loss: 1.9261
16/16 [==============================] - 0s 3ms/step - loss: 1.9155
16/16 [==============================] - 0s 3ms/step - loss: 1.9091
16/16 [==============================] - 0s 3ms/step - loss: 1.9063

Testing for epoch 28 index 5:
79/79 [==============================] - 0s 843us/step
16/16 [==============================] - 0s 848us/step - loss: 0.1847
16/16 [==============================] - 0s 906us/step - loss: 1.5934
16/16 [==============================] - 0s 1ms/step - loss: 1.8724
16/16 [==============================] - 0s 1ms/step - loss: 1.9590
16/16 [==============================] - 0s 1ms/step - loss: 1.9695
16/16 [==============================] - 0s 1ms/step - loss: 1.9573
16/16 [==============================] - 0s 1ms/step - loss: 1.9437
16/16 [==============================] - 0s 964us/step - loss: 1.9330
16/16 [==============================] - 0s 961us/step - loss: 1.9266
16/16 [==============================] - 0s 4ms/step - loss: 1.9238
Epoch 29 of 60

Testing for epoch 29 index 1:
79/79 [==============================] - 0s 885us/step
16/16 [==============================] - 0s 846us/step - loss: 0.1804
16/16 [==============================] - 0s 2ms/step - loss: 1.5722
16/16 [==============================] - 0s 841us/step - loss: 1.8440
16/16 [==============================] - 0s 1ms/step - loss: 1.9252
16/16 [==============================] - 0s 1ms/step - loss: 1.9335
16/16 [==============================] - 0s 870us/step - loss: 1.9199
16/16 [==============================] - 0s 863us/step - loss: 1.9054
16/16 [==============================] - 0s 1ms/step - loss: 1.8946
16/16 [==============================] - 0s 928us/step - loss: 1.8882
16/16 [==============================] - 0s 2ms/step - loss: 1.8855

Testing for epoch 29 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1813
16/16 [==============================] - 0s 1ms/step - loss: 1.6300
16/16 [==============================] - 0s 4ms/step - loss: 1.9179
16/16 [==============================] - 0s 2ms/step - loss: 2.0060
16/16 [==============================] - 0s 2ms/step - loss: 2.0161
16/16 [==============================] - 0s 4ms/step - loss: 2.0032
16/16 [==============================] - 0s 2ms/step - loss: 1.9888
16/16 [==============================] - 0s 2ms/step - loss: 1.9777
16/16 [==============================] - 0s 1ms/step - loss: 1.9711
16/16 [==============================] - 0s 2ms/step - loss: 1.9682

Testing for epoch 29 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.1790
16/16 [==============================] - 0s 3ms/step - loss: 1.6606
16/16 [==============================] - 0s 2ms/step - loss: 1.9503
16/16 [==============================] - 0s 5ms/step - loss: 2.0371
16/16 [==============================] - 0s 2ms/step - loss: 2.0471
16/16 [==============================] - 0s 1ms/step - loss: 2.0332
16/16 [==============================] - 0s 2ms/step - loss: 2.0179
16/16 [==============================] - 0s 3ms/step - loss: 2.0066
16/16 [==============================] - 0s 3ms/step - loss: 1.9999
16/16 [==============================] - 0s 2ms/step - loss: 1.9971

Testing for epoch 29 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1758
16/16 [==============================] - 0s 1ms/step - loss: 1.6526
16/16 [==============================] - 0s 2ms/step - loss: 1.9464
16/16 [==============================] - 0s 4ms/step - loss: 2.0333
16/16 [==============================] - 0s 3ms/step - loss: 2.0429
16/16 [==============================] - 0s 1ms/step - loss: 2.0296
16/16 [==============================] - 0s 2ms/step - loss: 2.0149
16/16 [==============================] - 0s 7ms/step - loss: 2.0038
16/16 [==============================] - 0s 2ms/step - loss: 1.9970
16/16 [==============================] - 0s 2ms/step - loss: 1.9941

Testing for epoch 29 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1759
16/16 [==============================] - 0s 3ms/step - loss: 1.6112
16/16 [==============================] - 0s 2ms/step - loss: 1.8896
16/16 [==============================] - 0s 6ms/step - loss: 1.9703
16/16 [==============================] - 0s 2ms/step - loss: 1.9783
16/16 [==============================] - 0s 3ms/step - loss: 1.9657
16/16 [==============================] - 0s 3ms/step - loss: 1.9512
16/16 [==============================] - 0s 2ms/step - loss: 1.9402
16/16 [==============================] - 0s 4ms/step - loss: 1.9338
16/16 [==============================] - 0s 3ms/step - loss: 1.9310
Epoch 30 of 60

Testing for epoch 30 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1754
16/16 [==============================] - 0s 1ms/step - loss: 1.6213
16/16 [==============================] - 0s 1ms/step - loss: 1.9008
16/16 [==============================] - 0s 2ms/step - loss: 1.9786
16/16 [==============================] - 0s 863us/step - loss: 1.9860
16/16 [==============================] - 0s 839us/step - loss: 1.9722
16/16 [==============================] - 0s 867us/step - loss: 1.9567
16/16 [==============================] - 0s 1ms/step - loss: 1.9456
16/16 [==============================] - 0s 916us/step - loss: 1.9392
16/16 [==============================] - 0s 927us/step - loss: 1.9365

Testing for epoch 30 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1726
16/16 [==============================] - 0s 1ms/step - loss: 1.6627
16/16 [==============================] - 0s 1ms/step - loss: 1.9497
16/16 [==============================] - 0s 1ms/step - loss: 2.0277
16/16 [==============================] - 0s 1ms/step - loss: 2.0332
16/16 [==============================] - 0s 1ms/step - loss: 2.0175
16/16 [==============================] - 0s 1ms/step - loss: 2.0001
16/16 [==============================] - 0s 1ms/step - loss: 1.9880
16/16 [==============================] - 0s 1ms/step - loss: 1.9810
16/16 [==============================] - 0s 776us/step - loss: 1.9781

Testing for epoch 30 index 3:
79/79 [==============================] - 0s 883us/step
16/16 [==============================] - 0s 16ms/step - loss: 0.1715
16/16 [==============================] - 0s 6ms/step - loss: 1.6747
16/16 [==============================] - 0s 9ms/step - loss: 1.9666
16/16 [==============================] - 0s 2ms/step - loss: 2.0491
16/16 [==============================] - 0s 4ms/step - loss: 2.0556
16/16 [==============================] - 0s 4ms/step - loss: 2.0411
16/16 [==============================] - 0s 3ms/step - loss: 2.0238
16/16 [==============================] - 0s 3ms/step - loss: 2.0117
16/16 [==============================] - 0s 4ms/step - loss: 2.0047
16/16 [==============================] - 0s 3ms/step - loss: 2.0017

Testing for epoch 30 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1702
16/16 [==============================] - 0s 3ms/step - loss: 1.6930
16/16 [==============================] - 0s 4ms/step - loss: 1.9847
16/16 [==============================] - 0s 2ms/step - loss: 2.0646
16/16 [==============================] - 0s 2ms/step - loss: 2.0704
16/16 [==============================] - 0s 3ms/step - loss: 2.0556
16/16 [==============================] - 0s 5ms/step - loss: 2.0375
16/16 [==============================] - 0s 2ms/step - loss: 2.0251
16/16 [==============================] - 0s 3ms/step - loss: 2.0181
16/16 [==============================] - 0s 1ms/step - loss: 2.0152

Testing for epoch 30 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1685
16/16 [==============================] - 0s 2ms/step - loss: 1.6729
16/16 [==============================] - 0s 3ms/step - loss: 1.9661
16/16 [==============================] - 0s 2ms/step - loss: 2.0491
16/16 [==============================] - 0s 4ms/step - loss: 2.0567
16/16 [==============================] - 0s 3ms/step - loss: 2.0431
16/16 [==============================] - 0s 4ms/step - loss: 2.0265
16/16 [==============================] - 0s 2ms/step - loss: 2.0148
16/16 [==============================] - 0s 2ms/step - loss: 2.0081
16/16 [==============================] - 0s 2ms/step - loss: 2.0052
Epoch 31 of 60

Testing for epoch 31 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1650
16/16 [==============================] - 0s 2ms/step - loss: 1.6931
16/16 [==============================] - 0s 2ms/step - loss: 1.9826
16/16 [==============================] - 0s 3ms/step - loss: 2.0596
16/16 [==============================] - 0s 6ms/step - loss: 2.0650
16/16 [==============================] - 0s 2ms/step - loss: 2.0494
16/16 [==============================] - 0s 2ms/step - loss: 2.0311
16/16 [==============================] - 0s 5ms/step - loss: 2.0186
16/16 [==============================] - 0s 6ms/step - loss: 2.0116
16/16 [==============================] - 0s 6ms/step - loss: 2.0087

Testing for epoch 31 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1672
16/16 [==============================] - 0s 1ms/step - loss: 1.6798
16/16 [==============================] - 0s 1ms/step - loss: 1.9702
16/16 [==============================] - 0s 6ms/step - loss: 2.0476
16/16 [==============================] - 0s 2ms/step - loss: 2.0548
16/16 [==============================] - 0s 1ms/step - loss: 2.0397
16/16 [==============================] - 0s 2ms/step - loss: 2.0221
16/16 [==============================] - 0s 5ms/step - loss: 2.0100
16/16 [==============================] - 0s 5ms/step - loss: 2.0032
16/16 [==============================] - 0s 3ms/step - loss: 2.0003

Testing for epoch 31 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 6ms/step - loss: 0.1629
16/16 [==============================] - 0s 2ms/step - loss: 1.6870
16/16 [==============================] - 0s 2ms/step - loss: 1.9750
16/16 [==============================] - 0s 2ms/step - loss: 2.0488
16/16 [==============================] - 0s 2ms/step - loss: 2.0550
16/16 [==============================] - 0s 2ms/step - loss: 2.0376
16/16 [==============================] - 0s 2ms/step - loss: 2.0184
16/16 [==============================] - 0s 2ms/step - loss: 2.0056
16/16 [==============================] - 0s 2ms/step - loss: 1.9984
16/16 [==============================] - 0s 2ms/step - loss: 1.9955

Testing for epoch 31 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1574
16/16 [==============================] - 0s 2ms/step - loss: 1.6838
16/16 [==============================] - 0s 2ms/step - loss: 1.9749
16/16 [==============================] - 0s 4ms/step - loss: 2.0486
16/16 [==============================] - 0s 2ms/step - loss: 2.0557
16/16 [==============================] - 0s 5ms/step - loss: 2.0392
16/16 [==============================] - 0s 4ms/step - loss: 2.0215
16/16 [==============================] - 0s 2ms/step - loss: 2.0093
16/16 [==============================] - 0s 3ms/step - loss: 2.0024
16/16 [==============================] - 0s 2ms/step - loss: 1.9996

Testing for epoch 31 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.1601
16/16 [==============================] - 0s 3ms/step - loss: 1.6636
16/16 [==============================] - 0s 7ms/step - loss: 1.9465
16/16 [==============================] - 0s 6ms/step - loss: 2.0170
16/16 [==============================] - 0s 3ms/step - loss: 2.0223
16/16 [==============================] - 0s 2ms/step - loss: 2.0043
16/16 [==============================] - 0s 2ms/step - loss: 1.9852
16/16 [==============================] - 0s 2ms/step - loss: 1.9727
16/16 [==============================] - 0s 1ms/step - loss: 1.9658
16/16 [==============================] - 0s 3ms/step - loss: 1.9630
Epoch 32 of 60

Testing for epoch 32 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 7ms/step - loss: 0.1566
16/16 [==============================] - 0s 3ms/step - loss: 1.7165
16/16 [==============================] - 0s 5ms/step - loss: 2.0126
16/16 [==============================] - 0s 6ms/step - loss: 2.0864
16/16 [==============================] - 0s 5ms/step - loss: 2.0941
16/16 [==============================] - 0s 7ms/step - loss: 2.0766
16/16 [==============================] - 0s 5ms/step - loss: 2.0573
16/16 [==============================] - 0s 5ms/step - loss: 2.0443
16/16 [==============================] - 0s 6ms/step - loss: 2.0370
16/16 [==============================] - 0s 5ms/step - loss: 2.0342

Testing for epoch 32 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1548
16/16 [==============================] - 0s 2ms/step - loss: 1.7490
16/16 [==============================] - 0s 3ms/step - loss: 2.0495
16/16 [==============================] - 0s 2ms/step - loss: 2.1207
16/16 [==============================] - 0s 3ms/step - loss: 2.1271
16/16 [==============================] - 0s 2ms/step - loss: 2.1085
16/16 [==============================] - 0s 4ms/step - loss: 2.0889
16/16 [==============================] - 0s 2ms/step - loss: 2.0757
16/16 [==============================] - 0s 1ms/step - loss: 2.0682
16/16 [==============================] - 0s 5ms/step - loss: 2.0652

Testing for epoch 32 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1591
16/16 [==============================] - 0s 2ms/step - loss: 1.6865
16/16 [==============================] - 0s 3ms/step - loss: 1.9723
16/16 [==============================] - 0s 5ms/step - loss: 2.0351
16/16 [==============================] - 0s 4ms/step - loss: 2.0398
16/16 [==============================] - 0s 1ms/step - loss: 2.0206
16/16 [==============================] - 0s 4ms/step - loss: 2.0006
16/16 [==============================] - 0s 1ms/step - loss: 1.9876
16/16 [==============================] - 0s 2ms/step - loss: 1.9803
16/16 [==============================] - 0s 3ms/step - loss: 1.9773

Testing for epoch 32 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1538
16/16 [==============================] - 0s 2ms/step - loss: 1.7401
16/16 [==============================] - 0s 3ms/step - loss: 2.0492
16/16 [==============================] - 0s 5ms/step - loss: 2.1191
16/16 [==============================] - 0s 2ms/step - loss: 2.1271
16/16 [==============================] - 0s 2ms/step - loss: 2.1095
16/16 [==============================] - 0s 4ms/step - loss: 2.0904
16/16 [==============================] - 0s 2ms/step - loss: 2.0775
16/16 [==============================] - 0s 3ms/step - loss: 2.0703
16/16 [==============================] - 0s 6ms/step - loss: 2.0673

Testing for epoch 32 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1536
16/16 [==============================] - 0s 4ms/step - loss: 1.7586
16/16 [==============================] - 0s 5ms/step - loss: 2.0746
16/16 [==============================] - 0s 2ms/step - loss: 2.1451
16/16 [==============================] - 0s 4ms/step - loss: 2.1524
16/16 [==============================] - 0s 8ms/step - loss: 2.1343
16/16 [==============================] - 0s 2ms/step - loss: 2.1144
16/16 [==============================] - 0s 4ms/step - loss: 2.1009
16/16 [==============================] - 0s 3ms/step - loss: 2.0933
16/16 [==============================] - 0s 2ms/step - loss: 2.0903
Epoch 33 of 60

Testing for epoch 33 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1518
16/16 [==============================] - 0s 3ms/step - loss: 1.7349
16/16 [==============================] - 0s 8ms/step - loss: 2.0456
16/16 [==============================] - 0s 2ms/step - loss: 2.1140
16/16 [==============================] - 0s 2ms/step - loss: 2.1196
16/16 [==============================] - 0s 2ms/step - loss: 2.1001
16/16 [==============================] - 0s 2ms/step - loss: 2.0790
16/16 [==============================] - 0s 3ms/step - loss: 2.0652
16/16 [==============================] - 0s 3ms/step - loss: 2.0575
16/16 [==============================] - 0s 2ms/step - loss: 2.0544

Testing for epoch 33 index 2:
79/79 [==============================] - 0s 892us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1503
16/16 [==============================] - 0s 1ms/step - loss: 1.7148
16/16 [==============================] - 0s 2ms/step - loss: 2.0156
16/16 [==============================] - 0s 1ms/step - loss: 2.0779
16/16 [==============================] - 0s 2ms/step - loss: 2.0826
16/16 [==============================] - 0s 1ms/step - loss: 2.0636
16/16 [==============================] - 0s 1ms/step - loss: 2.0425
16/16 [==============================] - 0s 860us/step - loss: 2.0289
16/16 [==============================] - 0s 899us/step - loss: 2.0215
16/16 [==============================] - 0s 2ms/step - loss: 2.0186

Testing for epoch 33 index 3:
79/79 [==============================] - 0s 873us/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1504
16/16 [==============================] - 0s 2ms/step - loss: 1.7352
16/16 [==============================] - 0s 3ms/step - loss: 2.0370
16/16 [==============================] - 0s 2ms/step - loss: 2.0978
16/16 [==============================] - 0s 2ms/step - loss: 2.1022
16/16 [==============================] - 0s 2ms/step - loss: 2.0834
16/16 [==============================] - 0s 4ms/step - loss: 2.0631
16/16 [==============================] - 0s 2ms/step - loss: 2.0496
16/16 [==============================] - 0s 3ms/step - loss: 2.0422
16/16 [==============================] - 0s 2ms/step - loss: 2.0393

Testing for epoch 33 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1479
16/16 [==============================] - 0s 2ms/step - loss: 1.7290
16/16 [==============================] - 0s 2ms/step - loss: 2.0355
16/16 [==============================] - 0s 4ms/step - loss: 2.0981
16/16 [==============================] - 0s 1ms/step - loss: 2.1035
16/16 [==============================] - 0s 4ms/step - loss: 2.0853
16/16 [==============================] - 0s 3ms/step - loss: 2.0650
16/16 [==============================] - 0s 2ms/step - loss: 2.0516
16/16 [==============================] - 0s 2ms/step - loss: 2.0443
16/16 [==============================] - 0s 2ms/step - loss: 2.0415

Testing for epoch 33 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1472
16/16 [==============================] - 0s 2ms/step - loss: 1.7415
16/16 [==============================] - 0s 2ms/step - loss: 2.0538
16/16 [==============================] - 0s 5ms/step - loss: 2.1127
16/16 [==============================] - 0s 2ms/step - loss: 2.1157
16/16 [==============================] - 0s 2ms/step - loss: 2.0958
16/16 [==============================] - 0s 2ms/step - loss: 2.0747
16/16 [==============================] - 0s 2ms/step - loss: 2.0607
16/16 [==============================] - 0s 3ms/step - loss: 2.0533
16/16 [==============================] - 0s 5ms/step - loss: 2.0503
Epoch 34 of 60

Testing for epoch 34 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1470
16/16 [==============================] - 0s 3ms/step - loss: 1.7022
16/16 [==============================] - 0s 2ms/step - loss: 2.0048
16/16 [==============================] - 0s 3ms/step - loss: 2.0616
16/16 [==============================] - 0s 2ms/step - loss: 2.0634
16/16 [==============================] - 0s 4ms/step - loss: 2.0430
16/16 [==============================] - 0s 3ms/step - loss: 2.0216
16/16 [==============================] - 0s 2ms/step - loss: 2.0076
16/16 [==============================] - 0s 2ms/step - loss: 2.0001
16/16 [==============================] - 0s 3ms/step - loss: 1.9972

Testing for epoch 34 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1447
16/16 [==============================] - 0s 4ms/step - loss: 1.7483
16/16 [==============================] - 0s 3ms/step - loss: 2.0607
16/16 [==============================] - 0s 3ms/step - loss: 2.1209
16/16 [==============================] - 0s 2ms/step - loss: 2.1231
16/16 [==============================] - 0s 3ms/step - loss: 2.1023
16/16 [==============================] - 0s 3ms/step - loss: 2.0802
16/16 [==============================] - 0s 3ms/step - loss: 2.0659
16/16 [==============================] - 0s 2ms/step - loss: 2.0583
16/16 [==============================] - 0s 3ms/step - loss: 2.0554

Testing for epoch 34 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1404
16/16 [==============================] - 0s 2ms/step - loss: 1.7721
16/16 [==============================] - 0s 2ms/step - loss: 2.0896
16/16 [==============================] - 0s 2ms/step - loss: 2.1492
16/16 [==============================] - 0s 4ms/step - loss: 2.1501
16/16 [==============================] - 0s 2ms/step - loss: 2.1290
16/16 [==============================] - 0s 1ms/step - loss: 2.1065
16/16 [==============================] - 0s 2ms/step - loss: 2.0917
16/16 [==============================] - 0s 1ms/step - loss: 2.0839
16/16 [==============================] - 0s 3ms/step - loss: 2.0809

Testing for epoch 34 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1421
16/16 [==============================] - 0s 2ms/step - loss: 1.7870
16/16 [==============================] - 0s 2ms/step - loss: 2.1049
16/16 [==============================] - 0s 3ms/step - loss: 2.1666
16/16 [==============================] - 0s 2ms/step - loss: 2.1690
16/16 [==============================] - 0s 1ms/step - loss: 2.1488
16/16 [==============================] - 0s 2ms/step - loss: 2.1272
16/16 [==============================] - 0s 3ms/step - loss: 2.1127
16/16 [==============================] - 0s 1ms/step - loss: 2.1049
16/16 [==============================] - 0s 2ms/step - loss: 2.1017

Testing for epoch 34 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1399
16/16 [==============================] - 0s 3ms/step - loss: 1.7791
16/16 [==============================] - 0s 3ms/step - loss: 2.0943
16/16 [==============================] - 0s 2ms/step - loss: 2.1521
16/16 [==============================] - 0s 2ms/step - loss: 2.1523
16/16 [==============================] - 0s 953us/step - loss: 2.1314
16/16 [==============================] - 0s 3ms/step - loss: 2.1091
16/16 [==============================] - 0s 2ms/step - loss: 2.0946
16/16 [==============================] - 0s 2ms/step - loss: 2.0870
16/16 [==============================] - 0s 3ms/step - loss: 2.0841
Epoch 35 of 60

Testing for epoch 35 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1412
16/16 [==============================] - 0s 2ms/step - loss: 1.7816
16/16 [==============================] - 0s 3ms/step - loss: 2.1010
16/16 [==============================] - 0s 2ms/step - loss: 2.1604
16/16 [==============================] - 0s 2ms/step - loss: 2.1615
16/16 [==============================] - 0s 3ms/step - loss: 2.1413
16/16 [==============================] - 0s 3ms/step - loss: 2.1199
16/16 [==============================] - 0s 2ms/step - loss: 2.1055
16/16 [==============================] - 0s 4ms/step - loss: 2.0980
16/16 [==============================] - 0s 3ms/step - loss: 2.0952

Testing for epoch 35 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1402
16/16 [==============================] - 0s 2ms/step - loss: 1.7900
16/16 [==============================] - 0s 3ms/step - loss: 2.1063
16/16 [==============================] - 0s 4ms/step - loss: 2.1644
16/16 [==============================] - 0s 2ms/step - loss: 2.1644
16/16 [==============================] - 0s 1ms/step - loss: 2.1435
16/16 [==============================] - 0s 2ms/step - loss: 2.1209
16/16 [==============================] - 0s 2ms/step - loss: 2.1062
16/16 [==============================] - 0s 4ms/step - loss: 2.0986
16/16 [==============================] - 0s 4ms/step - loss: 2.0958

Testing for epoch 35 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1377
16/16 [==============================] - 0s 2ms/step - loss: 1.7535
16/16 [==============================] - 0s 2ms/step - loss: 2.0550
16/16 [==============================] - 0s 2ms/step - loss: 2.1077
16/16 [==============================] - 0s 2ms/step - loss: 2.1057
16/16 [==============================] - 0s 2ms/step - loss: 2.0841
16/16 [==============================] - 0s 2ms/step - loss: 2.0609
16/16 [==============================] - 0s 2ms/step - loss: 2.0458
16/16 [==============================] - 0s 1ms/step - loss: 2.0380
16/16 [==============================] - 0s 1ms/step - loss: 2.0350

Testing for epoch 35 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1335
16/16 [==============================] - 0s 2ms/step - loss: 1.8184
16/16 [==============================] - 0s 1ms/step - loss: 2.1348
16/16 [==============================] - 0s 2ms/step - loss: 2.1930
16/16 [==============================] - 0s 3ms/step - loss: 2.1924
16/16 [==============================] - 0s 4ms/step - loss: 2.1709
16/16 [==============================] - 0s 2ms/step - loss: 2.1475
16/16 [==============================] - 0s 4ms/step - loss: 2.1318
16/16 [==============================] - 0s 3ms/step - loss: 2.1238
16/16 [==============================] - 0s 2ms/step - loss: 2.1207

Testing for epoch 35 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1369
16/16 [==============================] - 0s 2ms/step - loss: 1.7811
16/16 [==============================] - 0s 4ms/step - loss: 2.0890
16/16 [==============================] - 0s 2ms/step - loss: 2.1465
16/16 [==============================] - 0s 3ms/step - loss: 2.1457
16/16 [==============================] - 0s 2ms/step - loss: 2.1245
16/16 [==============================] - 0s 3ms/step - loss: 2.1019
16/16 [==============================] - 0s 2ms/step - loss: 2.0870
16/16 [==============================] - 0s 2ms/step - loss: 2.0792
16/16 [==============================] - 0s 4ms/step - loss: 2.0762
Epoch 36 of 60

Testing for epoch 36 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1317
16/16 [==============================] - 0s 2ms/step - loss: 1.8455
16/16 [==============================] - 0s 3ms/step - loss: 2.1702
16/16 [==============================] - 0s 2ms/step - loss: 2.2318
16/16 [==============================] - 0s 3ms/step - loss: 2.2307
16/16 [==============================] - 0s 2ms/step - loss: 2.2088
16/16 [==============================] - 0s 2ms/step - loss: 2.1854
16/16 [==============================] - 0s 4ms/step - loss: 2.1698
16/16 [==============================] - 0s 4ms/step - loss: 2.1618
16/16 [==============================] - 0s 2ms/step - loss: 2.1589

Testing for epoch 36 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1377
16/16 [==============================] - 0s 2ms/step - loss: 1.7651
16/16 [==============================] - 0s 2ms/step - loss: 2.0632
16/16 [==============================] - 0s 3ms/step - loss: 2.1144
16/16 [==============================] - 0s 5ms/step - loss: 2.1111
16/16 [==============================] - 0s 1ms/step - loss: 2.0894
16/16 [==============================] - 0s 2ms/step - loss: 2.0656
16/16 [==============================] - 0s 1ms/step - loss: 2.0504
16/16 [==============================] - 0s 1ms/step - loss: 2.0428
16/16 [==============================] - 0s 2ms/step - loss: 2.0399

Testing for epoch 36 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1312
16/16 [==============================] - 0s 2ms/step - loss: 1.7846
16/16 [==============================] - 0s 3ms/step - loss: 2.0886
16/16 [==============================] - 0s 4ms/step - loss: 2.1374
16/16 [==============================] - 0s 3ms/step - loss: 2.1337
16/16 [==============================] - 0s 2ms/step - loss: 2.1111
16/16 [==============================] - 0s 2ms/step - loss: 2.0865
16/16 [==============================] - 0s 3ms/step - loss: 2.0710
16/16 [==============================] - 0s 2ms/step - loss: 2.0633
16/16 [==============================] - 0s 1ms/step - loss: 2.0605

Testing for epoch 36 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1336
16/16 [==============================] - 0s 2ms/step - loss: 1.8108
16/16 [==============================] - 0s 7ms/step - loss: 2.1265
16/16 [==============================] - 0s 4ms/step - loss: 2.1813
16/16 [==============================] - 0s 2ms/step - loss: 2.1806
16/16 [==============================] - 0s 2ms/step - loss: 2.1597
16/16 [==============================] - 0s 3ms/step - loss: 2.1361
16/16 [==============================] - 0s 2ms/step - loss: 2.1207
16/16 [==============================] - 0s 2ms/step - loss: 2.1128
16/16 [==============================] - 0s 2ms/step - loss: 2.1098

Testing for epoch 36 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1317
16/16 [==============================] - 0s 3ms/step - loss: 1.8589
16/16 [==============================] - 0s 2ms/step - loss: 2.1882
16/16 [==============================] - 0s 3ms/step - loss: 2.2448
16/16 [==============================] - 0s 6ms/step - loss: 2.2443
16/16 [==============================] - 0s 2ms/step - loss: 2.2229
16/16 [==============================] - 0s 2ms/step - loss: 2.1987
16/16 [==============================] - 0s 2ms/step - loss: 2.1831
16/16 [==============================] - 0s 2ms/step - loss: 2.1750
16/16 [==============================] - 0s 4ms/step - loss: 2.1720
Epoch 37 of 60

Testing for epoch 37 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.1303
16/16 [==============================] - 0s 2ms/step - loss: 1.8466
16/16 [==============================] - 0s 2ms/step - loss: 2.1731
16/16 [==============================] - 0s 3ms/step - loss: 2.2269
16/16 [==============================] - 0s 2ms/step - loss: 2.2263
16/16 [==============================] - 0s 2ms/step - loss: 2.2052
16/16 [==============================] - 0s 2ms/step - loss: 2.1810
16/16 [==============================] - 0s 2ms/step - loss: 2.1654
16/16 [==============================] - 0s 3ms/step - loss: 2.1574
16/16 [==============================] - 0s 4ms/step - loss: 2.1543

Testing for epoch 37 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1275
16/16 [==============================] - 0s 2ms/step - loss: 1.8876
16/16 [==============================] - 0s 2ms/step - loss: 2.2217
16/16 [==============================] - 0s 2ms/step - loss: 2.2708
16/16 [==============================] - 0s 2ms/step - loss: 2.2673
16/16 [==============================] - 0s 2ms/step - loss: 2.2428
16/16 [==============================] - 0s 2ms/step - loss: 2.2160
16/16 [==============================] - 0s 3ms/step - loss: 2.1989
16/16 [==============================] - 0s 5ms/step - loss: 2.1904
16/16 [==============================] - 0s 3ms/step - loss: 2.1872

Testing for epoch 37 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1280
16/16 [==============================] - 0s 3ms/step - loss: 1.8336
16/16 [==============================] - 0s 3ms/step - loss: 2.1599
16/16 [==============================] - 0s 4ms/step - loss: 2.2056
16/16 [==============================] - 0s 2ms/step - loss: 2.2017
16/16 [==============================] - 0s 2ms/step - loss: 2.1778
16/16 [==============================] - 0s 2ms/step - loss: 2.1518
16/16 [==============================] - 0s 2ms/step - loss: 2.1353
16/16 [==============================] - 0s 2ms/step - loss: 2.1271
16/16 [==============================] - 0s 2ms/step - loss: 2.1241

Testing for epoch 37 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1261
16/16 [==============================] - 0s 2ms/step - loss: 1.8780
16/16 [==============================] - 0s 5ms/step - loss: 2.2209
16/16 [==============================] - 0s 5ms/step - loss: 2.2695
16/16 [==============================] - 0s 2ms/step - loss: 2.2673
16/16 [==============================] - 0s 3ms/step - loss: 2.2438
16/16 [==============================] - 0s 2ms/step - loss: 2.2179
16/16 [==============================] - 0s 2ms/step - loss: 2.2014
16/16 [==============================] - 0s 4ms/step - loss: 2.1931
16/16 [==============================] - 0s 3ms/step - loss: 2.1900

Testing for epoch 37 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1309
16/16 [==============================] - 0s 4ms/step - loss: 1.8148
16/16 [==============================] - 0s 3ms/step - loss: 2.1431
16/16 [==============================] - 0s 2ms/step - loss: 2.1861
16/16 [==============================] - 0s 2ms/step - loss: 2.1831
16/16 [==============================] - 0s 3ms/step - loss: 2.1600
16/16 [==============================] - 0s 1ms/step - loss: 2.1350
16/16 [==============================] - 0s 2ms/step - loss: 2.1192
16/16 [==============================] - 0s 3ms/step - loss: 2.1113
16/16 [==============================] - 0s 3ms/step - loss: 2.1085
Epoch 38 of 60

Testing for epoch 38 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 7ms/step - loss: 0.1238
16/16 [==============================] - 0s 3ms/step - loss: 1.8431
16/16 [==============================] - 0s 2ms/step - loss: 2.1778
16/16 [==============================] - 0s 2ms/step - loss: 2.2206
16/16 [==============================] - 0s 2ms/step - loss: 2.2176
16/16 [==============================] - 0s 3ms/step - loss: 2.1934
16/16 [==============================] - 0s 4ms/step - loss: 2.1670
16/16 [==============================] - 0s 2ms/step - loss: 2.1505
16/16 [==============================] - 0s 6ms/step - loss: 2.1424
16/16 [==============================] - 0s 2ms/step - loss: 2.1395

Testing for epoch 38 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1286
16/16 [==============================] - 0s 2ms/step - loss: 1.8881
16/16 [==============================] - 0s 1ms/step - loss: 2.2273
16/16 [==============================] - 0s 2ms/step - loss: 2.2709
16/16 [==============================] - 0s 2ms/step - loss: 2.2677
16/16 [==============================] - 0s 2ms/step - loss: 2.2431
16/16 [==============================] - 0s 1ms/step - loss: 2.2171
16/16 [==============================] - 0s 2ms/step - loss: 2.2004
16/16 [==============================] - 0s 2ms/step - loss: 2.1922
16/16 [==============================] - 0s 2ms/step - loss: 2.1892

Testing for epoch 38 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1259
16/16 [==============================] - 0s 3ms/step - loss: 1.8786
16/16 [==============================] - 0s 2ms/step - loss: 2.2137
16/16 [==============================] - 0s 4ms/step - loss: 2.2556
16/16 [==============================] - 0s 2ms/step - loss: 2.2521
16/16 [==============================] - 0s 2ms/step - loss: 2.2270
16/16 [==============================] - 0s 2ms/step - loss: 2.2005
16/16 [==============================] - 0s 2ms/step - loss: 2.1836
16/16 [==============================] - 0s 2ms/step - loss: 2.1753
16/16 [==============================] - 0s 2ms/step - loss: 2.1723

Testing for epoch 38 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1247
16/16 [==============================] - 0s 4ms/step - loss: 1.8435
16/16 [==============================] - 0s 2ms/step - loss: 2.1649
16/16 [==============================] - 0s 2ms/step - loss: 2.2043
16/16 [==============================] - 0s 3ms/step - loss: 2.1999
16/16 [==============================] - 0s 2ms/step - loss: 2.1753
16/16 [==============================] - 0s 2ms/step - loss: 2.1493
16/16 [==============================] - 0s 2ms/step - loss: 2.1329
16/16 [==============================] - 0s 2ms/step - loss: 2.1247
16/16 [==============================] - 0s 2ms/step - loss: 2.1218

Testing for epoch 38 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1231
16/16 [==============================] - 0s 2ms/step - loss: 1.8667
16/16 [==============================] - 0s 5ms/step - loss: 2.1915
16/16 [==============================] - 0s 2ms/step - loss: 2.2290
16/16 [==============================] - 0s 3ms/step - loss: 2.2223
16/16 [==============================] - 0s 1ms/step - loss: 2.1953
16/16 [==============================] - 0s 4ms/step - loss: 2.1666
16/16 [==============================] - 0s 2ms/step - loss: 2.1487
16/16 [==============================] - 0s 1ms/step - loss: 2.1401
16/16 [==============================] - 0s 2ms/step - loss: 2.1370
Epoch 39 of 60

Testing for epoch 39 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1235
16/16 [==============================] - 0s 4ms/step - loss: 1.8989
16/16 [==============================] - 0s 2ms/step - loss: 2.2352
16/16 [==============================] - 0s 2ms/step - loss: 2.2807
16/16 [==============================] - 0s 2ms/step - loss: 2.2771
16/16 [==============================] - 0s 3ms/step - loss: 2.2527
16/16 [==============================] - 0s 2ms/step - loss: 2.2268
16/16 [==============================] - 0s 3ms/step - loss: 2.2102
16/16 [==============================] - 0s 3ms/step - loss: 2.2020
16/16 [==============================] - 0s 3ms/step - loss: 2.1990

Testing for epoch 39 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1223
16/16 [==============================] - 0s 4ms/step - loss: 1.9328
16/16 [==============================] - 0s 2ms/step - loss: 2.2649
16/16 [==============================] - 0s 3ms/step - loss: 2.3098
16/16 [==============================] - 0s 2ms/step - loss: 2.3052
16/16 [==============================] - 0s 1ms/step - loss: 2.2799
16/16 [==============================] - 0s 3ms/step - loss: 2.2526
16/16 [==============================] - 0s 2ms/step - loss: 2.2354
16/16 [==============================] - 0s 2ms/step - loss: 2.2270
16/16 [==============================] - 0s 3ms/step - loss: 2.2240

Testing for epoch 39 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1230
16/16 [==============================] - 0s 2ms/step - loss: 1.9075
16/16 [==============================] - 0s 3ms/step - loss: 2.2262
16/16 [==============================] - 0s 2ms/step - loss: 2.2643
16/16 [==============================] - 0s 2ms/step - loss: 2.2572
16/16 [==============================] - 0s 1ms/step - loss: 2.2313
16/16 [==============================] - 0s 2ms/step - loss: 2.2039
16/16 [==============================] - 0s 2ms/step - loss: 2.1868
16/16 [==============================] - 0s 2ms/step - loss: 2.1787
16/16 [==============================] - 0s 2ms/step - loss: 2.1758

Testing for epoch 39 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1215
16/16 [==============================] - 0s 2ms/step - loss: 1.9336
16/16 [==============================] - 0s 2ms/step - loss: 2.2557
16/16 [==============================] - 0s 3ms/step - loss: 2.2942
16/16 [==============================] - 0s 1ms/step - loss: 2.2863
16/16 [==============================] - 0s 2ms/step - loss: 2.2601
16/16 [==============================] - 0s 1ms/step - loss: 2.2320
16/16 [==============================] - 0s 5ms/step - loss: 2.2144
16/16 [==============================] - 0s 3ms/step - loss: 2.2060
16/16 [==============================] - 0s 5ms/step - loss: 2.2031

Testing for epoch 39 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1180
16/16 [==============================] - 0s 2ms/step - loss: 1.9071
16/16 [==============================] - 0s 2ms/step - loss: 2.2259
16/16 [==============================] - 0s 2ms/step - loss: 2.2623
16/16 [==============================] - 0s 1ms/step - loss: 2.2534
16/16 [==============================] - 0s 1ms/step - loss: 2.2271
16/16 [==============================] - 0s 6ms/step - loss: 2.1997
16/16 [==============================] - 0s 2ms/step - loss: 2.1823
16/16 [==============================] - 0s 3ms/step - loss: 2.1740
16/16 [==============================] - 0s 3ms/step - loss: 2.1711
Epoch 40 of 60

Testing for epoch 40 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1182
16/16 [==============================] - 0s 3ms/step - loss: 1.9108
16/16 [==============================] - 0s 2ms/step - loss: 2.2304
16/16 [==============================] - 0s 2ms/step - loss: 2.2685
16/16 [==============================] - 0s 2ms/step - loss: 2.2603
16/16 [==============================] - 0s 3ms/step - loss: 2.2346
16/16 [==============================] - 0s 3ms/step - loss: 2.2071
16/16 [==============================] - 0s 3ms/step - loss: 2.1898
16/16 [==============================] - 0s 3ms/step - loss: 2.1815
16/16 [==============================] - 0s 2ms/step - loss: 2.1786

Testing for epoch 40 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1199
16/16 [==============================] - 0s 2ms/step - loss: 1.9556
16/16 [==============================] - 0s 4ms/step - loss: 2.2830
16/16 [==============================] - 0s 2ms/step - loss: 2.3212
16/16 [==============================] - 0s 1ms/step - loss: 2.3122
16/16 [==============================] - 0s 2ms/step - loss: 2.2851
16/16 [==============================] - 0s 2ms/step - loss: 2.2563
16/16 [==============================] - 0s 3ms/step - loss: 2.2385
16/16 [==============================] - 0s 2ms/step - loss: 2.2299
16/16 [==============================] - 0s 1ms/step - loss: 2.2267

Testing for epoch 40 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1167
16/16 [==============================] - 0s 2ms/step - loss: 1.9038
16/16 [==============================] - 0s 2ms/step - loss: 2.2114
16/16 [==============================] - 0s 2ms/step - loss: 2.2440
16/16 [==============================] - 0s 2ms/step - loss: 2.2331
16/16 [==============================] - 0s 3ms/step - loss: 2.2061
16/16 [==============================] - 0s 2ms/step - loss: 2.1774
16/16 [==============================] - 0s 4ms/step - loss: 2.1601
16/16 [==============================] - 0s 3ms/step - loss: 2.1517
16/16 [==============================] - 0s 3ms/step - loss: 2.1488

Testing for epoch 40 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1171
16/16 [==============================] - 0s 2ms/step - loss: 1.9475
16/16 [==============================] - 0s 2ms/step - loss: 2.2691
16/16 [==============================] - 0s 6ms/step - loss: 2.3069
16/16 [==============================] - 0s 5ms/step - loss: 2.2978
16/16 [==============================] - 0s 2ms/step - loss: 2.2715
16/16 [==============================] - 0s 3ms/step - loss: 2.2427
16/16 [==============================] - 0s 1ms/step - loss: 2.2250
16/16 [==============================] - 0s 5ms/step - loss: 2.2167
16/16 [==============================] - 0s 4ms/step - loss: 2.2138

Testing for epoch 40 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1143
16/16 [==============================] - 0s 3ms/step - loss: 1.9597
16/16 [==============================] - 0s 1ms/step - loss: 2.2798
16/16 [==============================] - 0s 2ms/step - loss: 2.3163
16/16 [==============================] - 0s 3ms/step - loss: 2.3056
16/16 [==============================] - 0s 2ms/step - loss: 2.2783
16/16 [==============================] - 0s 2ms/step - loss: 2.2483
16/16 [==============================] - 0s 4ms/step - loss: 2.2299
16/16 [==============================] - 0s 2ms/step - loss: 2.2212
16/16 [==============================] - 0s 2ms/step - loss: 2.2182
Epoch 41 of 60

Testing for epoch 41 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1131
16/16 [==============================] - 0s 3ms/step - loss: 1.9691
16/16 [==============================] - 0s 2ms/step - loss: 2.2938
16/16 [==============================] - 0s 4ms/step - loss: 2.3310
16/16 [==============================] - 0s 1ms/step - loss: 2.3196
16/16 [==============================] - 0s 2ms/step - loss: 2.2921
16/16 [==============================] - 0s 1ms/step - loss: 2.2622
16/16 [==============================] - 0s 3ms/step - loss: 2.2437
16/16 [==============================] - 0s 2ms/step - loss: 2.2349
16/16 [==============================] - 0s 5ms/step - loss: 2.2317

Testing for epoch 41 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1170
16/16 [==============================] - 0s 2ms/step - loss: 1.9061
16/16 [==============================] - 0s 4ms/step - loss: 2.2131
16/16 [==============================] - 0s 3ms/step - loss: 2.2488
16/16 [==============================] - 0s 2ms/step - loss: 2.2369
16/16 [==============================] - 0s 2ms/step - loss: 2.2103
16/16 [==============================] - 0s 2ms/step - loss: 2.1817
16/16 [==============================] - 0s 1ms/step - loss: 2.1640
16/16 [==============================] - 0s 2ms/step - loss: 2.1556
16/16 [==============================] - 0s 3ms/step - loss: 2.1527

Testing for epoch 41 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.1119
16/16 [==============================] - 0s 2ms/step - loss: 1.9414
16/16 [==============================] - 0s 2ms/step - loss: 2.2560
16/16 [==============================] - 0s 2ms/step - loss: 2.2939
16/16 [==============================] - 0s 2ms/step - loss: 2.2823
16/16 [==============================] - 0s 2ms/step - loss: 2.2556
16/16 [==============================] - 0s 2ms/step - loss: 2.2265
16/16 [==============================] - 0s 2ms/step - loss: 2.2085
16/16 [==============================] - 0s 2ms/step - loss: 2.2001
16/16 [==============================] - 0s 2ms/step - loss: 2.1973

Testing for epoch 41 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1167
16/16 [==============================] - 0s 4ms/step - loss: 1.9866
16/16 [==============================] - 0s 2ms/step - loss: 2.3128
16/16 [==============================] - 0s 1ms/step - loss: 2.3551
16/16 [==============================] - 0s 2ms/step - loss: 2.3438
16/16 [==============================] - 0s 3ms/step - loss: 2.3171
16/16 [==============================] - 0s 3ms/step - loss: 2.2875
16/16 [==============================] - 0s 2ms/step - loss: 2.2690
16/16 [==============================] - 0s 5ms/step - loss: 2.2604
16/16 [==============================] - 0s 2ms/step - loss: 2.2574

Testing for epoch 41 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1126
16/16 [==============================] - 0s 1ms/step - loss: 2.0101
16/16 [==============================] - 0s 2ms/step - loss: 2.3365
16/16 [==============================] - 0s 2ms/step - loss: 2.3784
16/16 [==============================] - 0s 2ms/step - loss: 2.3662
16/16 [==============================] - 0s 9ms/step - loss: 2.3383
16/16 [==============================] - 0s 4ms/step - loss: 2.3077
16/16 [==============================] - 0s 1ms/step - loss: 2.2890
16/16 [==============================] - 0s 2ms/step - loss: 2.2802
16/16 [==============================] - 0s 2ms/step - loss: 2.2772
Epoch 42 of 60

Testing for epoch 42 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1113
16/16 [==============================] - 0s 3ms/step - loss: 1.9499
16/16 [==============================] - 0s 3ms/step - loss: 2.2581
16/16 [==============================] - 0s 5ms/step - loss: 2.2957
16/16 [==============================] - 0s 2ms/step - loss: 2.2832
16/16 [==============================] - 0s 2ms/step - loss: 2.2562
16/16 [==============================] - 0s 2ms/step - loss: 2.2268
16/16 [==============================] - 0s 5ms/step - loss: 2.2087
16/16 [==============================] - 0s 6ms/step - loss: 2.2002
16/16 [==============================] - 0s 6ms/step - loss: 2.1972

Testing for epoch 42 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1084
16/16 [==============================] - 0s 1ms/step - loss: 2.0399
16/16 [==============================] - 0s 9ms/step - loss: 2.3616
16/16 [==============================] - 0s 4ms/step - loss: 2.3983
16/16 [==============================] - 0s 4ms/step - loss: 2.3833
16/16 [==============================] - 0s 2ms/step - loss: 2.3535
16/16 [==============================] - 0s 4ms/step - loss: 2.3212
16/16 [==============================] - 0s 3ms/step - loss: 2.3017
16/16 [==============================] - 0s 3ms/step - loss: 2.2927
16/16 [==============================] - 0s 5ms/step - loss: 2.2897

Testing for epoch 42 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1129
16/16 [==============================] - 0s 2ms/step - loss: 1.9574
16/16 [==============================] - 0s 2ms/step - loss: 2.2668
16/16 [==============================] - 0s 4ms/step - loss: 2.3037
16/16 [==============================] - 0s 2ms/step - loss: 2.2902
16/16 [==============================] - 0s 2ms/step - loss: 2.2626
16/16 [==============================] - 0s 3ms/step - loss: 2.2324
16/16 [==============================] - 0s 3ms/step - loss: 2.2142
16/16 [==============================] - 0s 3ms/step - loss: 2.2058
16/16 [==============================] - 0s 3ms/step - loss: 2.2031

Testing for epoch 42 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 7ms/step - loss: 0.1113
16/16 [==============================] - 0s 2ms/step - loss: 2.0581
16/16 [==============================] - 0s 2ms/step - loss: 2.3902
16/16 [==============================] - 0s 3ms/step - loss: 2.4316
16/16 [==============================] - 0s 1ms/step - loss: 2.4185
16/16 [==============================] - 0s 2ms/step - loss: 2.3899
16/16 [==============================] - 0s 2ms/step - loss: 2.3587
16/16 [==============================] - 0s 2ms/step - loss: 2.3398
16/16 [==============================] - 0s 4ms/step - loss: 2.3309
16/16 [==============================] - 0s 3ms/step - loss: 2.3278

Testing for epoch 42 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1119
16/16 [==============================] - 0s 4ms/step - loss: 2.0003
16/16 [==============================] - 0s 3ms/step - loss: 2.3167
16/16 [==============================] - 0s 2ms/step - loss: 2.3539
16/16 [==============================] - 0s 2ms/step - loss: 2.3401
16/16 [==============================] - 0s 2ms/step - loss: 2.3123
16/16 [==============================] - 0s 2ms/step - loss: 2.2819
16/16 [==============================] - 0s 3ms/step - loss: 2.2634
16/16 [==============================] - 0s 2ms/step - loss: 2.2547
16/16 [==============================] - 0s 2ms/step - loss: 2.2517
Epoch 43 of 60

Testing for epoch 43 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1098
16/16 [==============================] - 0s 2ms/step - loss: 1.9736
16/16 [==============================] - 0s 2ms/step - loss: 2.2821
16/16 [==============================] - 0s 3ms/step - loss: 2.3155
16/16 [==============================] - 0s 4ms/step - loss: 2.3007
16/16 [==============================] - 0s 4ms/step - loss: 2.2717
16/16 [==============================] - 0s 5ms/step - loss: 2.2409
16/16 [==============================] - 0s 1ms/step - loss: 2.2224
16/16 [==============================] - 0s 3ms/step - loss: 2.2139
16/16 [==============================] - 0s 4ms/step - loss: 2.2110

Testing for epoch 43 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1077
16/16 [==============================] - 0s 2ms/step - loss: 2.0356
16/16 [==============================] - 0s 5ms/step - loss: 2.3538
16/16 [==============================] - 0s 3ms/step - loss: 2.3874
16/16 [==============================] - 0s 3ms/step - loss: 2.3710
16/16 [==============================] - 0s 2ms/step - loss: 2.3404
16/16 [==============================] - 0s 3ms/step - loss: 2.3070
16/16 [==============================] - 0s 4ms/step - loss: 2.2869
16/16 [==============================] - 0s 4ms/step - loss: 2.2775
16/16 [==============================] - 0s 1ms/step - loss: 2.2743

Testing for epoch 43 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1095
16/16 [==============================] - 0s 3ms/step - loss: 2.0104
16/16 [==============================] - 0s 2ms/step - loss: 2.3218
16/16 [==============================] - 0s 4ms/step - loss: 2.3580
16/16 [==============================] - 0s 2ms/step - loss: 2.3440
16/16 [==============================] - 0s 3ms/step - loss: 2.3165
16/16 [==============================] - 0s 2ms/step - loss: 2.2867
16/16 [==============================] - 0s 5ms/step - loss: 2.2685
16/16 [==============================] - 0s 5ms/step - loss: 2.2602
16/16 [==============================] - 0s 5ms/step - loss: 2.2573

Testing for epoch 43 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1064
16/16 [==============================] - 0s 2ms/step - loss: 2.0483
16/16 [==============================] - 0s 3ms/step - loss: 2.3684
16/16 [==============================] - 0s 2ms/step - loss: 2.4031
16/16 [==============================] - 0s 1ms/step - loss: 2.3874
16/16 [==============================] - 0s 2ms/step - loss: 2.3583
16/16 [==============================] - 0s 4ms/step - loss: 2.3254
16/16 [==============================] - 0s 3ms/step - loss: 2.3058
16/16 [==============================] - 0s 3ms/step - loss: 2.2969
16/16 [==============================] - 0s 1ms/step - loss: 2.2939

Testing for epoch 43 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1042
16/16 [==============================] - 0s 5ms/step - loss: 2.0422
16/16 [==============================] - 0s 3ms/step - loss: 2.3655
16/16 [==============================] - 0s 3ms/step - loss: 2.3990
16/16 [==============================] - 0s 5ms/step - loss: 2.3822
16/16 [==============================] - 0s 2ms/step - loss: 2.3522
16/16 [==============================] - 0s 2ms/step - loss: 2.3189
16/16 [==============================] - 0s 3ms/step - loss: 2.2989
16/16 [==============================] - 0s 3ms/step - loss: 2.2896
16/16 [==============================] - 0s 2ms/step - loss: 2.2864
Epoch 44 of 60

Testing for epoch 44 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.1071
16/16 [==============================] - 0s 4ms/step - loss: 2.0320
16/16 [==============================] - 0s 2ms/step - loss: 2.3510
16/16 [==============================] - 0s 4ms/step - loss: 2.3856
16/16 [==============================] - 0s 3ms/step - loss: 2.3701
16/16 [==============================] - 0s 6ms/step - loss: 2.3418
16/16 [==============================] - 0s 2ms/step - loss: 2.3098
16/16 [==============================] - 0s 6ms/step - loss: 2.2909
16/16 [==============================] - 0s 5ms/step - loss: 2.2822
16/16 [==============================] - 0s 3ms/step - loss: 2.2793

Testing for epoch 44 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1061
16/16 [==============================] - 0s 3ms/step - loss: 2.0712
16/16 [==============================] - 0s 2ms/step - loss: 2.3991
16/16 [==============================] - 0s 6ms/step - loss: 2.4323
16/16 [==============================] - 0s 2ms/step - loss: 2.4157
16/16 [==============================] - 0s 5ms/step - loss: 2.3859
16/16 [==============================] - 0s 3ms/step - loss: 2.3521
16/16 [==============================] - 0s 4ms/step - loss: 2.3319
16/16 [==============================] - 0s 2ms/step - loss: 2.3225
16/16 [==============================] - 0s 2ms/step - loss: 2.3193

Testing for epoch 44 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1059
16/16 [==============================] - 0s 1ms/step - loss: 2.0336
16/16 [==============================] - 0s 2ms/step - loss: 2.3465
16/16 [==============================] - 0s 3ms/step - loss: 2.3751
16/16 [==============================] - 0s 8ms/step - loss: 2.3575
16/16 [==============================] - 0s 6ms/step - loss: 2.3280
16/16 [==============================] - 0s 2ms/step - loss: 2.2949
16/16 [==============================] - 0s 2ms/step - loss: 2.2754
16/16 [==============================] - 0s 3ms/step - loss: 2.2665
16/16 [==============================] - 0s 3ms/step - loss: 2.2636

Testing for epoch 44 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.1038
16/16 [==============================] - 0s 2ms/step - loss: 2.0583
16/16 [==============================] - 0s 2ms/step - loss: 2.3719
16/16 [==============================] - 0s 5ms/step - loss: 2.3974
16/16 [==============================] - 0s 2ms/step - loss: 2.3771
16/16 [==============================] - 0s 2ms/step - loss: 2.3452
16/16 [==============================] - 0s 2ms/step - loss: 2.3096
16/16 [==============================] - 0s 2ms/step - loss: 2.2891
16/16 [==============================] - 0s 8ms/step - loss: 2.2800
16/16 [==============================] - 0s 2ms/step - loss: 2.2770

Testing for epoch 44 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1064
16/16 [==============================] - 0s 2ms/step - loss: 2.0191
16/16 [==============================] - 0s 6ms/step - loss: 2.3310
16/16 [==============================] - 0s 3ms/step - loss: 2.3591
16/16 [==============================] - 0s 3ms/step - loss: 2.3412
16/16 [==============================] - 0s 4ms/step - loss: 2.3115
16/16 [==============================] - 0s 2ms/step - loss: 2.2781
16/16 [==============================] - 0s 4ms/step - loss: 2.2583
16/16 [==============================] - 0s 5ms/step - loss: 2.2493
16/16 [==============================] - 0s 3ms/step - loss: 2.2462
Epoch 45 of 60

Testing for epoch 45 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1028
16/16 [==============================] - 0s 2ms/step - loss: 2.0909
16/16 [==============================] - 0s 3ms/step - loss: 2.4171
16/16 [==============================] - 0s 3ms/step - loss: 2.4481
16/16 [==============================] - 0s 2ms/step - loss: 2.4308
16/16 [==============================] - 0s 3ms/step - loss: 2.4011
16/16 [==============================] - 0s 1ms/step - loss: 2.3673
16/16 [==============================] - 0s 2ms/step - loss: 2.3474
16/16 [==============================] - 0s 2ms/step - loss: 2.3383
16/16 [==============================] - 0s 1ms/step - loss: 2.3352

Testing for epoch 45 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1022
16/16 [==============================] - 0s 3ms/step - loss: 2.0597
16/16 [==============================] - 0s 2ms/step - loss: 2.3719
16/16 [==============================] - 0s 1ms/step - loss: 2.3987
16/16 [==============================] - 0s 2ms/step - loss: 2.3804
16/16 [==============================] - 0s 2ms/step - loss: 2.3505
16/16 [==============================] - 0s 3ms/step - loss: 2.3168
16/16 [==============================] - 0s 2ms/step - loss: 2.2970
16/16 [==============================] - 0s 2ms/step - loss: 2.2881
16/16 [==============================] - 0s 2ms/step - loss: 2.2851

Testing for epoch 45 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.1046
16/16 [==============================] - 0s 2ms/step - loss: 2.0544
16/16 [==============================] - 0s 2ms/step - loss: 2.3654
16/16 [==============================] - 0s 3ms/step - loss: 2.3923
16/16 [==============================] - 0s 2ms/step - loss: 2.3749
16/16 [==============================] - 0s 2ms/step - loss: 2.3458
16/16 [==============================] - 0s 3ms/step - loss: 2.3131
16/16 [==============================] - 0s 2ms/step - loss: 2.2940
16/16 [==============================] - 0s 2ms/step - loss: 2.2852
16/16 [==============================] - 0s 2ms/step - loss: 2.2823

Testing for epoch 45 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0992
16/16 [==============================] - 0s 2ms/step - loss: 2.0383
16/16 [==============================] - 0s 6ms/step - loss: 2.3473
16/16 [==============================] - 0s 4ms/step - loss: 2.3708
16/16 [==============================] - 0s 5ms/step - loss: 2.3517
16/16 [==============================] - 0s 2ms/step - loss: 2.3213
16/16 [==============================] - 0s 9ms/step - loss: 2.2872
16/16 [==============================] - 0s 7ms/step - loss: 2.2675
16/16 [==============================] - 0s 7ms/step - loss: 2.2587
16/16 [==============================] - 0s 4ms/step - loss: 2.2558

Testing for epoch 45 index 5:
79/79 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1016
16/16 [==============================] - 0s 2ms/step - loss: 2.0889
16/16 [==============================] - 0s 2ms/step - loss: 2.4126
16/16 [==============================] - 0s 2ms/step - loss: 2.4368
16/16 [==============================] - 0s 2ms/step - loss: 2.4169
16/16 [==============================] - 0s 2ms/step - loss: 2.3856
16/16 [==============================] - 0s 2ms/step - loss: 2.3501
16/16 [==============================] - 0s 2ms/step - loss: 2.3293
16/16 [==============================] - 0s 2ms/step - loss: 2.3200
16/16 [==============================] - 0s 6ms/step - loss: 2.3169
Epoch 46 of 60

Testing for epoch 46 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.0998
16/16 [==============================] - 0s 2ms/step - loss: 2.1354
16/16 [==============================] - 0s 2ms/step - loss: 2.4656
16/16 [==============================] - 0s 2ms/step - loss: 2.4889
16/16 [==============================] - 0s 4ms/step - loss: 2.4668
16/16 [==============================] - 0s 2ms/step - loss: 2.4336
16/16 [==============================] - 0s 2ms/step - loss: 2.3964
16/16 [==============================] - 0s 7ms/step - loss: 2.3749
16/16 [==============================] - 0s 2ms/step - loss: 2.3652
16/16 [==============================] - 0s 2ms/step - loss: 2.3620

Testing for epoch 46 index 2:
79/79 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0988
16/16 [==============================] - 0s 2ms/step - loss: 2.0963
16/16 [==============================] - 0s 4ms/step - loss: 2.4198
16/16 [==============================] - 0s 6ms/step - loss: 2.4456
16/16 [==============================] - 0s 3ms/step - loss: 2.4265
16/16 [==============================] - 0s 1ms/step - loss: 2.3958
16/16 [==============================] - 0s 2ms/step - loss: 2.3607
16/16 [==============================] - 0s 2ms/step - loss: 2.3404
16/16 [==============================] - 0s 4ms/step - loss: 2.3312
16/16 [==============================] - 0s 2ms/step - loss: 2.3281

Testing for epoch 46 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0993
16/16 [==============================] - 0s 5ms/step - loss: 2.1028
16/16 [==============================] - 0s 3ms/step - loss: 2.4283
16/16 [==============================] - 0s 2ms/step - loss: 2.4562
16/16 [==============================] - 0s 1ms/step - loss: 2.4387
16/16 [==============================] - 0s 2ms/step - loss: 2.4091
16/16 [==============================] - 0s 6ms/step - loss: 2.3747
16/16 [==============================] - 0s 4ms/step - loss: 2.3547
16/16 [==============================] - 0s 3ms/step - loss: 2.3456
16/16 [==============================] - 0s 6ms/step - loss: 2.3426

Testing for epoch 46 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0995
16/16 [==============================] - 0s 3ms/step - loss: 2.0890
16/16 [==============================] - 0s 3ms/step - loss: 2.4072
16/16 [==============================] - 0s 4ms/step - loss: 2.4297
16/16 [==============================] - 0s 3ms/step - loss: 2.4109
16/16 [==============================] - 0s 3ms/step - loss: 2.3806
16/16 [==============================] - 0s 3ms/step - loss: 2.3461
16/16 [==============================] - 0s 2ms/step - loss: 2.3262
16/16 [==============================] - 0s 2ms/step - loss: 2.3172
16/16 [==============================] - 0s 6ms/step - loss: 2.3143

Testing for epoch 46 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0947
16/16 [==============================] - 0s 2ms/step - loss: 2.1321
16/16 [==============================] - 0s 3ms/step - loss: 2.4606
16/16 [==============================] - 0s 3ms/step - loss: 2.4829
16/16 [==============================] - 0s 4ms/step - loss: 2.4618
16/16 [==============================] - 0s 2ms/step - loss: 2.4299
16/16 [==============================] - 0s 5ms/step - loss: 2.3936
16/16 [==============================] - 0s 5ms/step - loss: 2.3728
16/16 [==============================] - 0s 2ms/step - loss: 2.3634
16/16 [==============================] - 0s 2ms/step - loss: 2.3604
Epoch 47 of 60

Testing for epoch 47 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.1007
16/16 [==============================] - 0s 1ms/step - loss: 2.0864
16/16 [==============================] - 0s 2ms/step - loss: 2.4101
16/16 [==============================] - 0s 3ms/step - loss: 2.4338
16/16 [==============================] - 0s 3ms/step - loss: 2.4140
16/16 [==============================] - 0s 2ms/step - loss: 2.3834
16/16 [==============================] - 0s 3ms/step - loss: 2.3484
16/16 [==============================] - 0s 7ms/step - loss: 2.3282
16/16 [==============================] - 0s 2ms/step - loss: 2.3191
16/16 [==============================] - 0s 3ms/step - loss: 2.3161

Testing for epoch 47 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0967
16/16 [==============================] - 0s 2ms/step - loss: 2.1631
16/16 [==============================] - 0s 3ms/step - loss: 2.4961
16/16 [==============================] - 0s 1ms/step - loss: 2.5210
16/16 [==============================] - 0s 3ms/step - loss: 2.5005
16/16 [==============================] - 0s 2ms/step - loss: 2.4687
16/16 [==============================] - 0s 2ms/step - loss: 2.4323
16/16 [==============================] - 0s 2ms/step - loss: 2.4113
16/16 [==============================] - 0s 3ms/step - loss: 2.4018
16/16 [==============================] - 0s 4ms/step - loss: 2.3987

Testing for epoch 47 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0981
16/16 [==============================] - 0s 2ms/step - loss: 2.1035
16/16 [==============================] - 0s 2ms/step - loss: 2.4253
16/16 [==============================] - 0s 2ms/step - loss: 2.4458
16/16 [==============================] - 0s 8ms/step - loss: 2.4246
16/16 [==============================] - 0s 2ms/step - loss: 2.3931
16/16 [==============================] - 0s 6ms/step - loss: 2.3572
16/16 [==============================] - 0s 2ms/step - loss: 2.3367
16/16 [==============================] - 0s 2ms/step - loss: 2.3276
16/16 [==============================] - 0s 3ms/step - loss: 2.3247

Testing for epoch 47 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0965
16/16 [==============================] - 0s 3ms/step - loss: 2.1049
16/16 [==============================] - 0s 3ms/step - loss: 2.4249
16/16 [==============================] - 0s 2ms/step - loss: 2.4424
16/16 [==============================] - 0s 2ms/step - loss: 2.4194
16/16 [==============================] - 0s 3ms/step - loss: 2.3872
16/16 [==============================] - 0s 2ms/step - loss: 2.3506
16/16 [==============================] - 0s 3ms/step - loss: 2.3295
16/16 [==============================] - 0s 2ms/step - loss: 2.3201
16/16 [==============================] - 0s 2ms/step - loss: 2.3172

Testing for epoch 47 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0946
16/16 [==============================] - 0s 2ms/step - loss: 2.0806
16/16 [==============================] - 0s 2ms/step - loss: 2.3930
16/16 [==============================] - 0s 2ms/step - loss: 2.4118
16/16 [==============================] - 0s 1ms/step - loss: 2.3905
16/16 [==============================] - 0s 2ms/step - loss: 2.3597
16/16 [==============================] - 0s 2ms/step - loss: 2.3244
16/16 [==============================] - 0s 2ms/step - loss: 2.3042
16/16 [==============================] - 0s 2ms/step - loss: 2.2953
16/16 [==============================] - 0s 2ms/step - loss: 2.2925
Epoch 48 of 60

Testing for epoch 48 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0987
16/16 [==============================] - 0s 2ms/step - loss: 2.0949
16/16 [==============================] - 0s 2ms/step - loss: 2.4107
16/16 [==============================] - 0s 2ms/step - loss: 2.4298
16/16 [==============================] - 0s 2ms/step - loss: 2.4081
16/16 [==============================] - 0s 3ms/step - loss: 2.3772
16/16 [==============================] - 0s 2ms/step - loss: 2.3421
16/16 [==============================] - 0s 2ms/step - loss: 2.3219
16/16 [==============================] - 0s 1ms/step - loss: 2.3128
16/16 [==============================] - 0s 3ms/step - loss: 2.3098

Testing for epoch 48 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0959
16/16 [==============================] - 0s 3ms/step - loss: 2.1510
16/16 [==============================] - 0s 2ms/step - loss: 2.4748
16/16 [==============================] - 0s 2ms/step - loss: 2.4931
16/16 [==============================] - 0s 2ms/step - loss: 2.4693
16/16 [==============================] - 0s 2ms/step - loss: 2.4360
16/16 [==============================] - 0s 2ms/step - loss: 2.3982
16/16 [==============================] - 0s 3ms/step - loss: 2.3766
16/16 [==============================] - 0s 2ms/step - loss: 2.3670
16/16 [==============================] - 0s 3ms/step - loss: 2.3639

Testing for epoch 48 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0928
16/16 [==============================] - 0s 2ms/step - loss: 2.0915
16/16 [==============================] - 0s 1ms/step - loss: 2.3986
16/16 [==============================] - 0s 3ms/step - loss: 2.4121
16/16 [==============================] - 0s 2ms/step - loss: 2.3878
16/16 [==============================] - 0s 4ms/step - loss: 2.3555
16/16 [==============================] - 0s 3ms/step - loss: 2.3192
16/16 [==============================] - 0s 2ms/step - loss: 2.2985
16/16 [==============================] - 0s 2ms/step - loss: 2.2894
16/16 [==============================] - 0s 3ms/step - loss: 2.2865

Testing for epoch 48 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0941
16/16 [==============================] - 0s 2ms/step - loss: 2.1595
16/16 [==============================] - 0s 4ms/step - loss: 2.4835
16/16 [==============================] - 0s 4ms/step - loss: 2.5021
16/16 [==============================] - 0s 2ms/step - loss: 2.4783
16/16 [==============================] - 0s 2ms/step - loss: 2.4459
16/16 [==============================] - 0s 2ms/step - loss: 2.4088
16/16 [==============================] - 0s 3ms/step - loss: 2.3876
16/16 [==============================] - 0s 1ms/step - loss: 2.3782
16/16 [==============================] - 0s 2ms/step - loss: 2.3750

Testing for epoch 48 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0939
16/16 [==============================] - 0s 2ms/step - loss: 2.1234
16/16 [==============================] - 0s 1ms/step - loss: 2.4373
16/16 [==============================] - 0s 2ms/step - loss: 2.4519
16/16 [==============================] - 0s 5ms/step - loss: 2.4267
16/16 [==============================] - 0s 1ms/step - loss: 2.3937
16/16 [==============================] - 0s 3ms/step - loss: 2.3567
16/16 [==============================] - 0s 5ms/step - loss: 2.3358
16/16 [==============================] - 0s 3ms/step - loss: 2.3265
16/16 [==============================] - 0s 3ms/step - loss: 2.3236
Epoch 49 of 60

Testing for epoch 49 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0937
16/16 [==============================] - 0s 2ms/step - loss: 2.1221
16/16 [==============================] - 0s 2ms/step - loss: 2.4399
16/16 [==============================] - 0s 3ms/step - loss: 2.4569
16/16 [==============================] - 0s 2ms/step - loss: 2.4336
16/16 [==============================] - 0s 2ms/step - loss: 2.4016
16/16 [==============================] - 0s 2ms/step - loss: 2.3654
16/16 [==============================] - 0s 2ms/step - loss: 2.3449
16/16 [==============================] - 0s 2ms/step - loss: 2.3359
16/16 [==============================] - 0s 3ms/step - loss: 2.3331

Testing for epoch 49 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 6ms/step - loss: 0.0949
16/16 [==============================] - 0s 3ms/step - loss: 2.1269
16/16 [==============================] - 0s 3ms/step - loss: 2.4418
16/16 [==============================] - 0s 6ms/step - loss: 2.4566
16/16 [==============================] - 0s 3ms/step - loss: 2.4322
16/16 [==============================] - 0s 3ms/step - loss: 2.3995
16/16 [==============================] - 0s 2ms/step - loss: 2.3627
16/16 [==============================] - 0s 1ms/step - loss: 2.3419
16/16 [==============================] - 0s 2ms/step - loss: 2.3327
16/16 [==============================] - 0s 2ms/step - loss: 2.3298

Testing for epoch 49 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0891
16/16 [==============================] - 0s 8ms/step - loss: 2.2004
16/16 [==============================] - 0s 2ms/step - loss: 2.5334
16/16 [==============================] - 0s 3ms/step - loss: 2.5510
16/16 [==============================] - 0s 3ms/step - loss: 2.5264
16/16 [==============================] - 0s 2ms/step - loss: 2.4923
16/16 [==============================] - 0s 2ms/step - loss: 2.4537
16/16 [==============================] - 0s 3ms/step - loss: 2.4318
16/16 [==============================] - 0s 3ms/step - loss: 2.4221
16/16 [==============================] - 0s 4ms/step - loss: 2.4189

Testing for epoch 49 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0906
16/16 [==============================] - 0s 3ms/step - loss: 2.1940
16/16 [==============================] - 0s 1ms/step - loss: 2.5236
16/16 [==============================] - 0s 4ms/step - loss: 2.5395
16/16 [==============================] - 0s 3ms/step - loss: 2.5133
16/16 [==============================] - 0s 3ms/step - loss: 2.4780
16/16 [==============================] - 0s 3ms/step - loss: 2.4385
16/16 [==============================] - 0s 2ms/step - loss: 2.4162
16/16 [==============================] - 0s 4ms/step - loss: 2.4065
16/16 [==============================] - 0s 3ms/step - loss: 2.4034

Testing for epoch 49 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0920
16/16 [==============================] - 0s 2ms/step - loss: 2.1056
16/16 [==============================] - 0s 2ms/step - loss: 2.4148
16/16 [==============================] - 0s 3ms/step - loss: 2.4263
16/16 [==============================] - 0s 2ms/step - loss: 2.3999
16/16 [==============================] - 0s 2ms/step - loss: 2.3653
16/16 [==============================] - 0s 3ms/step - loss: 2.3272
16/16 [==============================] - 0s 2ms/step - loss: 2.3059
16/16 [==============================] - 0s 2ms/step - loss: 2.2965
16/16 [==============================] - 0s 3ms/step - loss: 2.2934
Epoch 50 of 60

Testing for epoch 50 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0889
16/16 [==============================] - 0s 2ms/step - loss: 2.1826
16/16 [==============================] - 0s 2ms/step - loss: 2.5118
16/16 [==============================] - 0s 2ms/step - loss: 2.5271
16/16 [==============================] - 0s 2ms/step - loss: 2.5024
16/16 [==============================] - 0s 3ms/step - loss: 2.4684
16/16 [==============================] - 0s 2ms/step - loss: 2.4302
16/16 [==============================] - 0s 3ms/step - loss: 2.4086
16/16 [==============================] - 0s 2ms/step - loss: 2.3989
16/16 [==============================] - 0s 2ms/step - loss: 2.3958

Testing for epoch 50 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0879
16/16 [==============================] - 0s 3ms/step - loss: 2.2008
16/16 [==============================] - 0s 2ms/step - loss: 2.5309
16/16 [==============================] - 0s 3ms/step - loss: 2.5448
16/16 [==============================] - 0s 2ms/step - loss: 2.5194
16/16 [==============================] - 0s 2ms/step - loss: 2.4848
16/16 [==============================] - 0s 1ms/step - loss: 2.4461
16/16 [==============================] - 0s 2ms/step - loss: 2.4244
16/16 [==============================] - 0s 2ms/step - loss: 2.4148
16/16 [==============================] - 0s 2ms/step - loss: 2.4119

Testing for epoch 50 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0933
16/16 [==============================] - 0s 2ms/step - loss: 2.1581
16/16 [==============================] - 0s 2ms/step - loss: 2.4735
16/16 [==============================] - 0s 4ms/step - loss: 2.4845
16/16 [==============================] - 0s 5ms/step - loss: 2.4590
16/16 [==============================] - 0s 3ms/step - loss: 2.4245
16/16 [==============================] - 0s 3ms/step - loss: 2.3860
16/16 [==============================] - 0s 4ms/step - loss: 2.3644
16/16 [==============================] - 0s 4ms/step - loss: 2.3549
16/16 [==============================] - 0s 3ms/step - loss: 2.3519

Testing for epoch 50 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0931
16/16 [==============================] - 0s 5ms/step - loss: 2.1033
16/16 [==============================] - 0s 4ms/step - loss: 2.4103
16/16 [==============================] - 0s 2ms/step - loss: 2.4233
16/16 [==============================] - 0s 2ms/step - loss: 2.3992
16/16 [==============================] - 0s 3ms/step - loss: 2.3665
16/16 [==============================] - 0s 4ms/step - loss: 2.3300
16/16 [==============================] - 0s 3ms/step - loss: 2.3095
16/16 [==============================] - 0s 1ms/step - loss: 2.3004
16/16 [==============================] - 0s 1ms/step - loss: 2.2975

Testing for epoch 50 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0872
16/16 [==============================] - 0s 2ms/step - loss: 2.2038
16/16 [==============================] - 0s 2ms/step - loss: 2.5338
16/16 [==============================] - 0s 1ms/step - loss: 2.5471
16/16 [==============================] - 0s 4ms/step - loss: 2.5215
16/16 [==============================] - 0s 2ms/step - loss: 2.4865
16/16 [==============================] - 0s 4ms/step - loss: 2.4479
16/16 [==============================] - 0s 2ms/step - loss: 2.4265
16/16 [==============================] - 0s 3ms/step - loss: 2.4172
16/16 [==============================] - 0s 2ms/step - loss: 2.4142
Epoch 51 of 60

Testing for epoch 51 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0925
16/16 [==============================] - 0s 1ms/step - loss: 2.1453
16/16 [==============================] - 0s 5ms/step - loss: 2.4683
16/16 [==============================] - 0s 3ms/step - loss: 2.4868
16/16 [==============================] - 0s 3ms/step - loss: 2.4643
16/16 [==============================] - 0s 1ms/step - loss: 2.4322
16/16 [==============================] - 0s 2ms/step - loss: 2.3964
16/16 [==============================] - 0s 5ms/step - loss: 2.3760
16/16 [==============================] - 0s 4ms/step - loss: 2.3669
16/16 [==============================] - 0s 1ms/step - loss: 2.3640

Testing for epoch 51 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0881
16/16 [==============================] - 0s 2ms/step - loss: 2.1593
16/16 [==============================] - 0s 2ms/step - loss: 2.4684
16/16 [==============================] - 0s 2ms/step - loss: 2.4781
16/16 [==============================] - 0s 2ms/step - loss: 2.4521
16/16 [==============================] - 0s 2ms/step - loss: 2.4169
16/16 [==============================] - 0s 4ms/step - loss: 2.3784
16/16 [==============================] - 0s 2ms/step - loss: 2.3567
16/16 [==============================] - 0s 2ms/step - loss: 2.3472
16/16 [==============================] - 0s 4ms/step - loss: 2.3441

Testing for epoch 51 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0861
16/16 [==============================] - 0s 2ms/step - loss: 2.1975
16/16 [==============================] - 0s 4ms/step - loss: 2.5173
16/16 [==============================] - 0s 3ms/step - loss: 2.5298
16/16 [==============================] - 0s 2ms/step - loss: 2.5040
16/16 [==============================] - 0s 2ms/step - loss: 2.4694
16/16 [==============================] - 0s 2ms/step - loss: 2.4305
16/16 [==============================] - 0s 2ms/step - loss: 2.4086
16/16 [==============================] - 0s 4ms/step - loss: 2.3990
16/16 [==============================] - 0s 4ms/step - loss: 2.3960

Testing for epoch 51 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0891
16/16 [==============================] - 0s 3ms/step - loss: 2.1711
16/16 [==============================] - 0s 1ms/step - loss: 2.4840
16/16 [==============================] - 0s 2ms/step - loss: 2.4932
16/16 [==============================] - 0s 3ms/step - loss: 2.4665
16/16 [==============================] - 0s 2ms/step - loss: 2.4316
16/16 [==============================] - 0s 2ms/step - loss: 2.3932
16/16 [==============================] - 0s 2ms/step - loss: 2.3718
16/16 [==============================] - 0s 2ms/step - loss: 2.3625
16/16 [==============================] - 0s 3ms/step - loss: 2.3596

Testing for epoch 51 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0867
16/16 [==============================] - 0s 4ms/step - loss: 2.2321
16/16 [==============================] - 0s 5ms/step - loss: 2.5640
16/16 [==============================] - 0s 4ms/step - loss: 2.5751
16/16 [==============================] - 0s 3ms/step - loss: 2.5476
16/16 [==============================] - 0s 6ms/step - loss: 2.5110
16/16 [==============================] - 0s 3ms/step - loss: 2.4711
16/16 [==============================] - 0s 3ms/step - loss: 2.4488
16/16 [==============================] - 0s 5ms/step - loss: 2.4390
16/16 [==============================] - 0s 1ms/step - loss: 2.4359
Epoch 52 of 60

Testing for epoch 52 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0862
16/16 [==============================] - 0s 2ms/step - loss: 2.2259
16/16 [==============================] - 0s 2ms/step - loss: 2.5558
16/16 [==============================] - 0s 2ms/step - loss: 2.5694
16/16 [==============================] - 0s 3ms/step - loss: 2.5456
16/16 [==============================] - 0s 1ms/step - loss: 2.5123
16/16 [==============================] - 0s 2ms/step - loss: 2.4746
16/16 [==============================] - 0s 2ms/step - loss: 2.4532
16/16 [==============================] - 0s 3ms/step - loss: 2.4437
16/16 [==============================] - 0s 2ms/step - loss: 2.4406

Testing for epoch 52 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0856
16/16 [==============================] - 0s 2ms/step - loss: 2.1800
16/16 [==============================] - 0s 2ms/step - loss: 2.5005
16/16 [==============================] - 0s 2ms/step - loss: 2.5136
16/16 [==============================] - 0s 4ms/step - loss: 2.4903
16/16 [==============================] - 0s 3ms/step - loss: 2.4567
16/16 [==============================] - 0s 1ms/step - loss: 2.4189
16/16 [==============================] - 0s 3ms/step - loss: 2.3976
16/16 [==============================] - 0s 2ms/step - loss: 2.3883
16/16 [==============================] - 0s 5ms/step - loss: 2.3853

Testing for epoch 52 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0875
16/16 [==============================] - 0s 2ms/step - loss: 2.2132
16/16 [==============================] - 0s 1ms/step - loss: 2.5380
16/16 [==============================] - 0s 2ms/step - loss: 2.5476
16/16 [==============================] - 0s 2ms/step - loss: 2.5212
16/16 [==============================] - 0s 3ms/step - loss: 2.4855
16/16 [==============================] - 0s 2ms/step - loss: 2.4463
16/16 [==============================] - 0s 2ms/step - loss: 2.4243
16/16 [==============================] - 0s 2ms/step - loss: 2.4147
16/16 [==============================] - 0s 3ms/step - loss: 2.4116

Testing for epoch 52 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0854
16/16 [==============================] - 0s 4ms/step - loss: 2.2306
16/16 [==============================] - 0s 6ms/step - loss: 2.5552
16/16 [==============================] - 0s 2ms/step - loss: 2.5606
16/16 [==============================] - 0s 3ms/step - loss: 2.5325
16/16 [==============================] - 0s 2ms/step - loss: 2.4954
16/16 [==============================] - 0s 3ms/step - loss: 2.4545
16/16 [==============================] - 0s 2ms/step - loss: 2.4317
16/16 [==============================] - 0s 2ms/step - loss: 2.4219
16/16 [==============================] - 0s 4ms/step - loss: 2.4188

Testing for epoch 52 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0874
16/16 [==============================] - 0s 2ms/step - loss: 2.2371
16/16 [==============================] - 0s 2ms/step - loss: 2.5686
16/16 [==============================] - 0s 3ms/step - loss: 2.5773
16/16 [==============================] - 0s 2ms/step - loss: 2.5504
16/16 [==============================] - 0s 1ms/step - loss: 2.5139
16/16 [==============================] - 0s 2ms/step - loss: 2.4741
16/16 [==============================] - 0s 1ms/step - loss: 2.4520
16/16 [==============================] - 0s 2ms/step - loss: 2.4425
16/16 [==============================] - 0s 2ms/step - loss: 2.4394
Epoch 53 of 60

Testing for epoch 53 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0841
16/16 [==============================] - 0s 3ms/step - loss: 2.2428
16/16 [==============================] - 0s 3ms/step - loss: 2.5822
16/16 [==============================] - 0s 3ms/step - loss: 2.5940
16/16 [==============================] - 0s 2ms/step - loss: 2.5677
16/16 [==============================] - 0s 2ms/step - loss: 2.5316
16/16 [==============================] - 0s 1ms/step - loss: 2.4920
16/16 [==============================] - 0s 2ms/step - loss: 2.4698
16/16 [==============================] - 0s 2ms/step - loss: 2.4602
16/16 [==============================] - 0s 4ms/step - loss: 2.4571

Testing for epoch 53 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0840
16/16 [==============================] - 0s 3ms/step - loss: 2.2741
16/16 [==============================] - 0s 2ms/step - loss: 2.6198
16/16 [==============================] - 0s 2ms/step - loss: 2.6338
16/16 [==============================] - 0s 2ms/step - loss: 2.6089
16/16 [==============================] - 0s 2ms/step - loss: 2.5735
16/16 [==============================] - 0s 2ms/step - loss: 2.5343
16/16 [==============================] - 0s 2ms/step - loss: 2.5122
16/16 [==============================] - 0s 2ms/step - loss: 2.5024
16/16 [==============================] - 0s 2ms/step - loss: 2.4992

Testing for epoch 53 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0869
16/16 [==============================] - 0s 2ms/step - loss: 2.2375
16/16 [==============================] - 0s 3ms/step - loss: 2.5711
16/16 [==============================] - 0s 3ms/step - loss: 2.5814
16/16 [==============================] - 0s 3ms/step - loss: 2.5546
16/16 [==============================] - 0s 2ms/step - loss: 2.5180
16/16 [==============================] - 0s 2ms/step - loss: 2.4782
16/16 [==============================] - 0s 1ms/step - loss: 2.4558
16/16 [==============================] - 0s 3ms/step - loss: 2.4460
16/16 [==============================] - 0s 5ms/step - loss: 2.4429

Testing for epoch 53 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0813
16/16 [==============================] - 0s 5ms/step - loss: 2.2322
16/16 [==============================] - 0s 4ms/step - loss: 2.5588
16/16 [==============================] - 0s 4ms/step - loss: 2.5644
16/16 [==============================] - 0s 2ms/step - loss: 2.5374
16/16 [==============================] - 0s 4ms/step - loss: 2.5010
16/16 [==============================] - 0s 4ms/step - loss: 2.4608
16/16 [==============================] - 0s 2ms/step - loss: 2.4384
16/16 [==============================] - 0s 5ms/step - loss: 2.4288
16/16 [==============================] - 0s 4ms/step - loss: 2.4259

Testing for epoch 53 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0834
16/16 [==============================] - 0s 2ms/step - loss: 2.2319
16/16 [==============================] - 0s 2ms/step - loss: 2.5613
16/16 [==============================] - 0s 2ms/step - loss: 2.5673
16/16 [==============================] - 0s 6ms/step - loss: 2.5388
16/16 [==============================] - 0s 4ms/step - loss: 2.5013
16/16 [==============================] - 0s 2ms/step - loss: 2.4606
16/16 [==============================] - 0s 1ms/step - loss: 2.4377
16/16 [==============================] - 0s 2ms/step - loss: 2.4279
16/16 [==============================] - 0s 3ms/step - loss: 2.4248
Epoch 54 of 60

Testing for epoch 54 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0834
16/16 [==============================] - 0s 5ms/step - loss: 2.2405
16/16 [==============================] - 0s 5ms/step - loss: 2.5705
16/16 [==============================] - 0s 2ms/step - loss: 2.5743
16/16 [==============================] - 0s 4ms/step - loss: 2.5447
16/16 [==============================] - 0s 4ms/step - loss: 2.5063
16/16 [==============================] - 0s 2ms/step - loss: 2.4651
16/16 [==============================] - 0s 2ms/step - loss: 2.4422
16/16 [==============================] - 0s 3ms/step - loss: 2.4324
16/16 [==============================] - 0s 2ms/step - loss: 2.4293

Testing for epoch 54 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0864
16/16 [==============================] - 0s 2ms/step - loss: 2.2875
16/16 [==============================] - 0s 4ms/step - loss: 2.6331
16/16 [==============================] - 0s 3ms/step - loss: 2.6441
16/16 [==============================] - 0s 1ms/step - loss: 2.6183
16/16 [==============================] - 0s 2ms/step - loss: 2.5822
16/16 [==============================] - 0s 2ms/step - loss: 2.5428
16/16 [==============================] - 0s 1ms/step - loss: 2.5205
16/16 [==============================] - 0s 4ms/step - loss: 2.5108
16/16 [==============================] - 0s 3ms/step - loss: 2.5077

Testing for epoch 54 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0847
16/16 [==============================] - 0s 2ms/step - loss: 2.1492
16/16 [==============================] - 0s 4ms/step - loss: 2.4608
16/16 [==============================] - 0s 4ms/step - loss: 2.4650
16/16 [==============================] - 0s 5ms/step - loss: 2.4380
16/16 [==============================] - 0s 1ms/step - loss: 2.4020
16/16 [==============================] - 0s 2ms/step - loss: 2.3639
16/16 [==============================] - 0s 2ms/step - loss: 2.3428
16/16 [==============================] - 0s 3ms/step - loss: 2.3338
16/16 [==============================] - 0s 2ms/step - loss: 2.3310

Testing for epoch 54 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.0843
16/16 [==============================] - 0s 2ms/step - loss: 2.2276
16/16 [==============================] - 0s 3ms/step - loss: 2.5549
16/16 [==============================] - 0s 5ms/step - loss: 2.5566
16/16 [==============================] - 0s 2ms/step - loss: 2.5275
16/16 [==============================] - 0s 3ms/step - loss: 2.4895
16/16 [==============================] - 0s 2ms/step - loss: 2.4485
16/16 [==============================] - 0s 2ms/step - loss: 2.4259
16/16 [==============================] - 0s 2ms/step - loss: 2.4164
16/16 [==============================] - 0s 2ms/step - loss: 2.4135

Testing for epoch 54 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0834
16/16 [==============================] - 0s 3ms/step - loss: 2.2545
16/16 [==============================] - 0s 3ms/step - loss: 2.5894
16/16 [==============================] - 0s 2ms/step - loss: 2.5901
16/16 [==============================] - 0s 2ms/step - loss: 2.5622
16/16 [==============================] - 0s 2ms/step - loss: 2.5255
16/16 [==============================] - 0s 2ms/step - loss: 2.4850
16/16 [==============================] - 0s 2ms/step - loss: 2.4623
16/16 [==============================] - 0s 2ms/step - loss: 2.4525
16/16 [==============================] - 0s 2ms/step - loss: 2.4494
Epoch 55 of 60

Testing for epoch 55 index 1:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0853
16/16 [==============================] - 0s 2ms/step - loss: 2.1839
16/16 [==============================] - 0s 2ms/step - loss: 2.5040
16/16 [==============================] - 0s 2ms/step - loss: 2.5026
16/16 [==============================] - 0s 2ms/step - loss: 2.4731
16/16 [==============================] - 0s 2ms/step - loss: 2.4349
16/16 [==============================] - 0s 2ms/step - loss: 2.3943
16/16 [==============================] - 0s 3ms/step - loss: 2.3719
16/16 [==============================] - 0s 4ms/step - loss: 2.3623
16/16 [==============================] - 0s 3ms/step - loss: 2.3593

Testing for epoch 55 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0810
16/16 [==============================] - 0s 4ms/step - loss: 2.2539
16/16 [==============================] - 0s 1ms/step - loss: 2.5890
16/16 [==============================] - 0s 2ms/step - loss: 2.5915
16/16 [==============================] - 0s 2ms/step - loss: 2.5640
16/16 [==============================] - 0s 1ms/step - loss: 2.5274
16/16 [==============================] - 0s 2ms/step - loss: 2.4875
16/16 [==============================] - 0s 3ms/step - loss: 2.4654
16/16 [==============================] - 0s 2ms/step - loss: 2.4560
16/16 [==============================] - 0s 1ms/step - loss: 2.4531

Testing for epoch 55 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0820
16/16 [==============================] - 0s 3ms/step - loss: 2.2376
16/16 [==============================] - 0s 2ms/step - loss: 2.5649
16/16 [==============================] - 0s 2ms/step - loss: 2.5610
16/16 [==============================] - 0s 4ms/step - loss: 2.5302
16/16 [==============================] - 0s 4ms/step - loss: 2.4903
16/16 [==============================] - 0s 2ms/step - loss: 2.4482
16/16 [==============================] - 0s 3ms/step - loss: 2.4252
16/16 [==============================] - 0s 2ms/step - loss: 2.4155
16/16 [==============================] - 0s 3ms/step - loss: 2.4125

Testing for epoch 55 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0825
16/16 [==============================] - 0s 3ms/step - loss: 2.2236
16/16 [==============================] - 0s 2ms/step - loss: 2.5497
16/16 [==============================] - 0s 2ms/step - loss: 2.5486
16/16 [==============================] - 0s 2ms/step - loss: 2.5207
16/16 [==============================] - 0s 1ms/step - loss: 2.4834
16/16 [==============================] - 0s 2ms/step - loss: 2.4433
16/16 [==============================] - 0s 2ms/step - loss: 2.4213
16/16 [==============================] - 0s 3ms/step - loss: 2.4120
16/16 [==============================] - 0s 2ms/step - loss: 2.4093

Testing for epoch 55 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0815
16/16 [==============================] - 0s 2ms/step - loss: 2.2509
16/16 [==============================] - 0s 2ms/step - loss: 2.5853
16/16 [==============================] - 0s 3ms/step - loss: 2.5843
16/16 [==============================] - 0s 2ms/step - loss: 2.5550
16/16 [==============================] - 0s 2ms/step - loss: 2.5162
16/16 [==============================] - 0s 2ms/step - loss: 2.4754
16/16 [==============================] - 0s 2ms/step - loss: 2.4527
16/16 [==============================] - 0s 2ms/step - loss: 2.4430
16/16 [==============================] - 0s 5ms/step - loss: 2.4399
Epoch 56 of 60

Testing for epoch 56 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0805
16/16 [==============================] - 0s 1ms/step - loss: 2.2920
16/16 [==============================] - 0s 2ms/step - loss: 2.6411
16/16 [==============================] - 0s 2ms/step - loss: 2.6434
16/16 [==============================] - 0s 2ms/step - loss: 2.6151
16/16 [==============================] - 0s 2ms/step - loss: 2.5767
16/16 [==============================] - 0s 2ms/step - loss: 2.5354
16/16 [==============================] - 0s 2ms/step - loss: 2.5126
16/16 [==============================] - 0s 2ms/step - loss: 2.5027
16/16 [==============================] - 0s 2ms/step - loss: 2.4997

Testing for epoch 56 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0823
16/16 [==============================] - 0s 2ms/step - loss: 2.2218
16/16 [==============================] - 0s 2ms/step - loss: 2.5505
16/16 [==============================] - 0s 2ms/step - loss: 2.5476
16/16 [==============================] - 0s 3ms/step - loss: 2.5181
16/16 [==============================] - 0s 2ms/step - loss: 2.4793
16/16 [==============================] - 0s 2ms/step - loss: 2.4381
16/16 [==============================] - 0s 2ms/step - loss: 2.4154
16/16 [==============================] - 0s 2ms/step - loss: 2.4056
16/16 [==============================] - 0s 2ms/step - loss: 2.4024

Testing for epoch 56 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0796
16/16 [==============================] - 0s 3ms/step - loss: 2.2713
16/16 [==============================] - 0s 4ms/step - loss: 2.6072
16/16 [==============================] - 0s 2ms/step - loss: 2.6023
16/16 [==============================] - 0s 2ms/step - loss: 2.5713
16/16 [==============================] - 0s 3ms/step - loss: 2.5315
16/16 [==============================] - 0s 3ms/step - loss: 2.4887
16/16 [==============================] - 0s 1ms/step - loss: 2.4653
16/16 [==============================] - 0s 3ms/step - loss: 2.4556
16/16 [==============================] - 0s 3ms/step - loss: 2.4527

Testing for epoch 56 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0781
16/16 [==============================] - 0s 1ms/step - loss: 2.3191
16/16 [==============================] - 0s 2ms/step - loss: 2.6722
16/16 [==============================] - 0s 3ms/step - loss: 2.6702
16/16 [==============================] - 0s 2ms/step - loss: 2.6399
16/16 [==============================] - 0s 2ms/step - loss: 2.5994
16/16 [==============================] - 0s 5ms/step - loss: 2.5560
16/16 [==============================] - 0s 3ms/step - loss: 2.5321
16/16 [==============================] - 0s 3ms/step - loss: 2.5219
16/16 [==============================] - 0s 3ms/step - loss: 2.5187

Testing for epoch 56 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0806
16/16 [==============================] - 0s 2ms/step - loss: 2.1912
16/16 [==============================] - 0s 2ms/step - loss: 2.5142
16/16 [==============================] - 0s 2ms/step - loss: 2.5094
16/16 [==============================] - 0s 2ms/step - loss: 2.4801
16/16 [==============================] - 0s 2ms/step - loss: 2.4412
16/16 [==============================] - 0s 2ms/step - loss: 2.4002
16/16 [==============================] - 0s 2ms/step - loss: 2.3776
16/16 [==============================] - 0s 3ms/step - loss: 2.3680
16/16 [==============================] - 0s 2ms/step - loss: 2.3650
Epoch 57 of 60

Testing for epoch 57 index 1:
79/79 [==============================] - 0s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0765
16/16 [==============================] - 0s 1ms/step - loss: 2.2928
16/16 [==============================] - 0s 2ms/step - loss: 2.6335
16/16 [==============================] - 0s 2ms/step - loss: 2.6272
16/16 [==============================] - 0s 2ms/step - loss: 2.5967
16/16 [==============================] - 0s 3ms/step - loss: 2.5568
16/16 [==============================] - 0s 3ms/step - loss: 2.5143
16/16 [==============================] - 0s 3ms/step - loss: 2.4910
16/16 [==============================] - 0s 2ms/step - loss: 2.4813
16/16 [==============================] - 0s 3ms/step - loss: 2.4783

Testing for epoch 57 index 2:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 0.0801
16/16 [==============================] - 0s 2ms/step - loss: 2.2724
16/16 [==============================] - 0s 6ms/step - loss: 2.6136
16/16 [==============================] - 0s 3ms/step - loss: 2.6100
16/16 [==============================] - 0s 3ms/step - loss: 2.5805
16/16 [==============================] - 0s 2ms/step - loss: 2.5413
16/16 [==============================] - 0s 3ms/step - loss: 2.4996
16/16 [==============================] - 0s 4ms/step - loss: 2.4766
16/16 [==============================] - 0s 2ms/step - loss: 2.4668
16/16 [==============================] - 0s 2ms/step - loss: 2.4638

Testing for epoch 57 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0834
16/16 [==============================] - 0s 4ms/step - loss: 2.2319
16/16 [==============================] - 0s 2ms/step - loss: 2.5508
16/16 [==============================] - 0s 8ms/step - loss: 2.5426
16/16 [==============================] - 0s 1ms/step - loss: 2.5121
16/16 [==============================] - 0s 2ms/step - loss: 2.4726
16/16 [==============================] - 0s 2ms/step - loss: 2.4309
16/16 [==============================] - 0s 6ms/step - loss: 2.4080
16/16 [==============================] - 0s 2ms/step - loss: 2.3985
16/16 [==============================] - 0s 2ms/step - loss: 2.3956

Testing for epoch 57 index 4:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.0773
16/16 [==============================] - 0s 5ms/step - loss: 2.2848
16/16 [==============================] - 0s 5ms/step - loss: 2.6147
16/16 [==============================] - 0s 5ms/step - loss: 2.6087
16/16 [==============================] - 0s 3ms/step - loss: 2.5782
16/16 [==============================] - 0s 3ms/step - loss: 2.5380
16/16 [==============================] - 0s 2ms/step - loss: 2.4956
16/16 [==============================] - 0s 3ms/step - loss: 2.4725
16/16 [==============================] - 0s 2ms/step - loss: 2.4628
16/16 [==============================] - 0s 2ms/step - loss: 2.4598

Testing for epoch 57 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0769
16/16 [==============================] - 0s 2ms/step - loss: 2.3447
16/16 [==============================] - 0s 1ms/step - loss: 2.6913
16/16 [==============================] - 0s 3ms/step - loss: 2.6862
16/16 [==============================] - 0s 2ms/step - loss: 2.6548
16/16 [==============================] - 0s 2ms/step - loss: 2.6128
16/16 [==============================] - 0s 2ms/step - loss: 2.5686
16/16 [==============================] - 0s 2ms/step - loss: 2.5443
16/16 [==============================] - 0s 2ms/step - loss: 2.5341
16/16 [==============================] - 0s 1ms/step - loss: 2.5308
Epoch 58 of 60

Testing for epoch 58 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 9ms/step - loss: 0.0798
16/16 [==============================] - 0s 5ms/step - loss: 2.2922
16/16 [==============================] - 0s 2ms/step - loss: 2.6171
16/16 [==============================] - 0s 5ms/step - loss: 2.6100
16/16 [==============================] - 0s 2ms/step - loss: 2.5784
16/16 [==============================] - 0s 4ms/step - loss: 2.5373
16/16 [==============================] - 0s 7ms/step - loss: 2.4937
16/16 [==============================] - 0s 3ms/step - loss: 2.4698
16/16 [==============================] - 0s 4ms/step - loss: 2.4597
16/16 [==============================] - 0s 3ms/step - loss: 2.4566

Testing for epoch 58 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0797
16/16 [==============================] - 0s 2ms/step - loss: 2.3043
16/16 [==============================] - 0s 3ms/step - loss: 2.6274
16/16 [==============================] - 0s 4ms/step - loss: 2.6190
16/16 [==============================] - 0s 2ms/step - loss: 2.5879
16/16 [==============================] - 0s 2ms/step - loss: 2.5484
16/16 [==============================] - 0s 2ms/step - loss: 2.5060
16/16 [==============================] - 0s 4ms/step - loss: 2.4828
16/16 [==============================] - 0s 3ms/step - loss: 2.4731
16/16 [==============================] - 0s 3ms/step - loss: 2.4703

Testing for epoch 58 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0801
16/16 [==============================] - 0s 1ms/step - loss: 2.3282
16/16 [==============================] - 0s 4ms/step - loss: 2.6624
16/16 [==============================] - 0s 3ms/step - loss: 2.6563
16/16 [==============================] - 0s 2ms/step - loss: 2.6252
16/16 [==============================] - 0s 4ms/step - loss: 2.5853
16/16 [==============================] - 0s 3ms/step - loss: 2.5425
16/16 [==============================] - 0s 4ms/step - loss: 2.5192
16/16 [==============================] - 0s 2ms/step - loss: 2.5094
16/16 [==============================] - 0s 3ms/step - loss: 2.5065

Testing for epoch 58 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0783
16/16 [==============================] - 0s 2ms/step - loss: 2.3192
16/16 [==============================] - 0s 3ms/step - loss: 2.6549
16/16 [==============================] - 0s 4ms/step - loss: 2.6474
16/16 [==============================] - 0s 3ms/step - loss: 2.6147
16/16 [==============================] - 0s 2ms/step - loss: 2.5728
16/16 [==============================] - 0s 3ms/step - loss: 2.5279
16/16 [==============================] - 0s 2ms/step - loss: 2.5036
16/16 [==============================] - 0s 2ms/step - loss: 2.4935
16/16 [==============================] - 0s 3ms/step - loss: 2.4905

Testing for epoch 58 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 0.0776
16/16 [==============================] - 0s 4ms/step - loss: 2.3051
16/16 [==============================] - 0s 4ms/step - loss: 2.6366
16/16 [==============================] - 0s 4ms/step - loss: 2.6305
16/16 [==============================] - 0s 5ms/step - loss: 2.6004
16/16 [==============================] - 0s 4ms/step - loss: 2.5615
16/16 [==============================] - 0s 5ms/step - loss: 2.5201
16/16 [==============================] - 0s 3ms/step - loss: 2.4974
16/16 [==============================] - 0s 2ms/step - loss: 2.4878
16/16 [==============================] - 0s 4ms/step - loss: 2.4849
Epoch 59 of 60

Testing for epoch 59 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 0.0776
16/16 [==============================] - 0s 2ms/step - loss: 2.3212
16/16 [==============================] - 0s 4ms/step - loss: 2.6595
16/16 [==============================] - 0s 3ms/step - loss: 2.6550
16/16 [==============================] - 0s 1ms/step - loss: 2.6256
16/16 [==============================] - 0s 4ms/step - loss: 2.5865
16/16 [==============================] - 0s 2ms/step - loss: 2.5444
16/16 [==============================] - 0s 3ms/step - loss: 2.5210
16/16 [==============================] - 0s 3ms/step - loss: 2.5111
16/16 [==============================] - 0s 3ms/step - loss: 2.5080

Testing for epoch 59 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0801
16/16 [==============================] - 0s 2ms/step - loss: 2.2853
16/16 [==============================] - 0s 2ms/step - loss: 2.6112
16/16 [==============================] - 0s 2ms/step - loss: 2.5989
16/16 [==============================] - 0s 2ms/step - loss: 2.5653
16/16 [==============================] - 0s 1ms/step - loss: 2.5240
16/16 [==============================] - 0s 2ms/step - loss: 2.4811
16/16 [==============================] - 0s 2ms/step - loss: 2.4578
16/16 [==============================] - 0s 2ms/step - loss: 2.4482
16/16 [==============================] - 0s 2ms/step - loss: 2.4454

Testing for epoch 59 index 3:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 0.0782
16/16 [==============================] - 0s 3ms/step - loss: 2.2902
16/16 [==============================] - 0s 2ms/step - loss: 2.6142
16/16 [==============================] - 0s 4ms/step - loss: 2.6026
16/16 [==============================] - 0s 5ms/step - loss: 2.5708
16/16 [==============================] - 0s 2ms/step - loss: 2.5310
16/16 [==============================] - 0s 2ms/step - loss: 2.4885
16/16 [==============================] - 0s 2ms/step - loss: 2.4653
16/16 [==============================] - 0s 2ms/step - loss: 2.4555
16/16 [==============================] - 0s 4ms/step - loss: 2.4525

Testing for epoch 59 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0758
16/16 [==============================] - 0s 2ms/step - loss: 2.3348
16/16 [==============================] - 0s 2ms/step - loss: 2.6743
16/16 [==============================] - 0s 2ms/step - loss: 2.6653
16/16 [==============================] - 0s 2ms/step - loss: 2.6334
16/16 [==============================] - 0s 2ms/step - loss: 2.5929
16/16 [==============================] - 0s 2ms/step - loss: 2.5498
16/16 [==============================] - 0s 2ms/step - loss: 2.5262
16/16 [==============================] - 0s 2ms/step - loss: 2.5164
16/16 [==============================] - 0s 2ms/step - loss: 2.5134

Testing for epoch 59 index 5:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0761
16/16 [==============================] - 0s 2ms/step - loss: 2.3908
16/16 [==============================] - 0s 2ms/step - loss: 2.7437
16/16 [==============================] - 0s 2ms/step - loss: 2.7379
16/16 [==============================] - 0s 2ms/step - loss: 2.7053
16/16 [==============================] - 0s 5ms/step - loss: 2.6637
16/16 [==============================] - 0s 3ms/step - loss: 2.6195
16/16 [==============================] - 0s 2ms/step - loss: 2.5952
16/16 [==============================] - 0s 1ms/step - loss: 2.5850
16/16 [==============================] - 0s 3ms/step - loss: 2.5818
Epoch 60 of 60

Testing for epoch 60 index 1:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0739
16/16 [==============================] - 0s 2ms/step - loss: 2.3616
16/16 [==============================] - 0s 2ms/step - loss: 2.7034
16/16 [==============================] - 0s 2ms/step - loss: 2.6933
16/16 [==============================] - 0s 5ms/step - loss: 2.6586
16/16 [==============================] - 0s 2ms/step - loss: 2.6162
16/16 [==============================] - 0s 3ms/step - loss: 2.5716
16/16 [==============================] - 0s 2ms/step - loss: 2.5473
16/16 [==============================] - 0s 2ms/step - loss: 2.5371
16/16 [==============================] - 0s 2ms/step - loss: 2.5340

Testing for epoch 60 index 2:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0794
16/16 [==============================] - 0s 1ms/step - loss: 2.3196
16/16 [==============================] - 0s 3ms/step - loss: 2.6556
16/16 [==============================] - 0s 2ms/step - loss: 2.6476
16/16 [==============================] - 0s 6ms/step - loss: 2.6160
16/16 [==============================] - 0s 2ms/step - loss: 2.5772
16/16 [==============================] - 0s 5ms/step - loss: 2.5357
16/16 [==============================] - 0s 2ms/step - loss: 2.5131
16/16 [==============================] - 0s 1ms/step - loss: 2.5038
16/16 [==============================] - 0s 3ms/step - loss: 2.5010

Testing for epoch 60 index 3:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0783
16/16 [==============================] - 0s 1ms/step - loss: 2.3158
16/16 [==============================] - 0s 2ms/step - loss: 2.6508
16/16 [==============================] - 0s 2ms/step - loss: 2.6407
16/16 [==============================] - 0s 2ms/step - loss: 2.6071
16/16 [==============================] - 0s 2ms/step - loss: 2.5659
16/16 [==============================] - 0s 2ms/step - loss: 2.5227
16/16 [==============================] - 0s 2ms/step - loss: 2.4994
16/16 [==============================] - 0s 3ms/step - loss: 2.4896
16/16 [==============================] - 0s 4ms/step - loss: 2.4866

Testing for epoch 60 index 4:
79/79 [==============================] - 0s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0753
16/16 [==============================] - 0s 3ms/step - loss: 2.2991
16/16 [==============================] - 0s 3ms/step - loss: 2.6280
16/16 [==============================] - 0s 3ms/step - loss: 2.6174
16/16 [==============================] - 0s 1ms/step - loss: 2.5841
16/16 [==============================] - 0s 4ms/step - loss: 2.5443
16/16 [==============================] - 0s 2ms/step - loss: 2.5025
16/16 [==============================] - 0s 2ms/step - loss: 2.4795
16/16 [==============================] - 0s 2ms/step - loss: 2.4700
16/16 [==============================] - 0s 2ms/step - loss: 2.4671

Testing for epoch 60 index 5:
79/79 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 0.0759
16/16 [==============================] - 0s 4ms/step - loss: 2.3298
16/16 [==============================] - 0s 3ms/step - loss: 2.6669
16/16 [==============================] - 0s 3ms/step - loss: 2.6546
16/16 [==============================] - 0s 3ms/step - loss: 2.6203
16/16 [==============================] - 0s 2ms/step - loss: 2.5791
16/16 [==============================] - 0s 4ms/step - loss: 2.5359
16/16 [==============================] - 0s 3ms/step - loss: 2.5127
16/16 [==============================] - 0s 2ms/step - loss: 2.5033
16/16 [==============================] - 0s 2ms/step - loss: 2.5006
79/79 [==============================] - 0s 1ms/step

outlier_MO_GAAL_one = list(clf.labels_)

outlier_MO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_MO_GAAL_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_MO_GAAL_one)

_conf.conf("MO-GAAL (Liu et al., 2019)")

Accuracy: 0.952
Precision: 0.952
Recall: 1.000
F1 Score: 0.975

LSCP

detectors = [KNN(), LOF(), OCSVM()]
clf = LSCP(detectors,contamination=0.05, random_state=77)
clf.fit(_df[['x', 'y','fnoise']])
_df['LSCP_clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/pyod/models/lscp.py:382: UserWarning: The number of histogram bins is greater than the number of classifiers, reducing n_bins to n_clf.
  warnings.warn(

outlier_LSCP_one = list(clf.labels_)

outlier_LSCP_one = list(map(lambda x: 1 if x==0  else -1,outlier_LSCP_one))

_conf = Conf_matrx(outlier_true_one_2,outlier_LSCP_one)

_conf.conf("LSCP (Zhao et al., 2019)")

Accuracy: 0.982
Precision: 0.992
Recall: 0.990
F1 Score: 0.991

Real Data(Earthquake)

class earthquake_func:
    def __init__(self,df):
        self.df = df 
        self.f = df.Magnitude.to_numpy()
        self.year = df.Year.to_numpy()
        self.lat = df.Latitude.to_numpy()
        self.long = df.Longitude.to_numpy()
        self.n = len(self.f)
        
        self.theta= None
    def get_distance(self):
        self.D = np.zeros([self.n,self.n])
        locations = np.stack([self.lat, self.long],axis=1)
        for i in tqdm.tqdm(range(self.n)):
            for j in range(i,self.n): 
                self.D[i,j]=haversine(locations[i],locations[j])
        self.D = self.D+self.D.T
    def get_weightmatrix(self,theta=1,beta=0.5,kappa=4000):
        self.theta = theta
        dist = np.where(self.D<kappa,self.D,0)
        self.W = np.exp(-(dist/self.theta)**2)

    def _eigen(self):
        d= self.W.sum(axis=1)
        D= np.diag(d)
        self.L = np.diag(1/np.sqrt(d)) @ (D-self.W) @ np.diag(1/np.sqrt(d))
        self.lamb, self.Psi = np.linalg.eigh(self.L)
        self.Lamb = np.diag(self.lamb)        
    def fit(self,ref=0.5): # fit with ebayesthresh
        self._eigen()
        self.fbar = self.Psi.T @ self.f # fbar := graph fourier transform of f
        self.power = self.fbar**2 
        ebayesthresh = importr('EbayesThresh').ebayesthresh
        self.power_threshed=np.array(ebayesthresh(FloatVector(self.fbar**2)))
        self.fbar_threshed = np.where(self.power_threshed>0,self.fbar,0)
        self.fhat = self.Psi@self.fbar_threshed
        self.df = self.df.assign(MagnitudeHat = self.fhat)
        self.df = self.df.assign(Residual = self.df.Magnitude- self.df.MagnitudeHat)
        self.con = np.where(self.df.Residual>0.7,1,0)
        
    def vis(self,MagThresh=7,ResThresh=1):
        fig = px.density_mapbox(self.df, 
                        lat='Latitude', 
                        lon='Longitude', 
                        z='Magnitude', 
                        radius=5,
                        center=dict(lat=37, lon=160), 
                        zoom=1.5,
                        height=900,
                        opacity = 0.4,
                        mapbox_style="stamen-terrain",
                        range_color=[-7,7])
        fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
        fig.add_scattermapbox(lat = self.df.query('Magnitude > @MagThresh')['Latitude'],
                      lon = self.df.query('Magnitude > @MagThresh')['Longitude'],
                      text = self.df.query('Magnitude > @MagThresh')['Magnitude'],
                      marker_size= 8,
                      marker_color= 'red',
                      opacity = 0.6
                      )
        fig.add_scattermapbox(lat = self.df.query('Residual**2 > @ResThresh')['Latitude'],
                      lon = self.df.query('Residual**2 > @ResThresh')['Longitude'],
                      text = self.df.query('Magnitude > @ResThresh')['Magnitude'],
                      marker_size= 8,
                      marker_color= 'blue',
                      opacity = 0.5
                      )
        return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))
    def visf(self):
        fig = px.density_mapbox(self.df, 
                        lat='Latitude', 
                        lon='Longitude', 
                        z='Magnitude', 
                        radius=5,
                        center=dict(lat=37, lon=160), 
                        zoom=1.5,
                        height=900,
                        opacity = 0.7,
                        mapbox_style="stamen-terrain",
                        range_color=[-7,7])
        fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
        return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))
    def visfhat(self):
        fig = px.density_mapbox(self.df, 
                        lat='Latitude', 
                        lon='Longitude', 
                        z='MagnitudeHat', 
                        radius=5,
                        center=dict(lat=37, lon=160), 
                        zoom=1.5,
                        height=900,
                        opacity = 0.7,
                        mapbox_style="stamen-terrain",
                        range_color=[-7,7])
        fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
        return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))
    def visres(self,MagThresh=7,ResThresh=1):
        fig = px.density_mapbox(self.df, 
                        lat='Latitude', 
                        lon='Longitude', 
                        z=[0] * len(self.df), 
                        radius=5,
                        center=dict(lat=37, lon=160), 
                        zoom=1.5,
                        height=900,
                        opacity = 0.7,
                        mapbox_style="stamen-terrain",
                        range_color=[-7,7])
        fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
        fig.add_scattermapbox(lat = self.df.query('Residual**2 > @ResThresh')['Latitude'],
                      lon = self.df.query('Residual**2 > @ResThresh')['Longitude'],
                      text = self.df.query('Magnitude > @ResThresh')['Magnitude'],
                      marker_size= 8,
                      marker_color= 'blue',
                      opacity = 0.7
                      )
        return HTML(fig.to_html(include_mathjax=False, config=dict({'scrollZoom':False})))

class Conf_matrx:
    def __init__(self,original,compare):
        self.original = original
        self.compare = compare
        self.tab = tab
    def conf(self,name):
        self.conf_matrix = confusion_matrix(self.original, self.compare)
        
        fig, ax = plt.subplots(figsize=(5, 5))
        ax.matshow(self.conf_matrix, cmap=plt.cm.Oranges, alpha=0.3)
        for i in range(self.conf_matrix.shape[0]):
            for j in range(self.conf_matrix.shape[1]):
                ax.text(x=j, y=i,s=self.conf_matrix[i, j], va='center', ha='center', size='xx-large')
        plt.xlabel('Predictions', fontsize=18)
        plt.ylabel('Actuals', fontsize=18)
        plt.title('Confusion Matrix', fontsize=18)
        plt.show()
        
        self.acc = accuracy_score(self.original, self.compare)
        self.pre = precision_score(self.original, self.compare)
        self.rec = recall_score(self.original, self.compare)
        self.f1 = f1_score(self.original, self.compare)
        
        print('Accuracy: %.3f' % self.acc)
        print('Precision: %.3f' % self.pre)
        print('Recall: %.3f' % self.rec)
        print('F1 Score: %.3f' % self.f1)

load data and clean it

- load

df_global= pd.concat([pd.read_csv('05_10.csv'),pd.read_csv('10_15.csv')]).iloc[:,[0,1,2,4]].rename(columns={'latitude':'Latitude','longitude':'Longitude','mag':'Magnitude'}).reset_index().iloc[:,1:]

- cleaning

df_global = df_global.assign(Year=list(map(lambda x: x.split('-')[0], df_global.time))).iloc[:,1:]

df_global.Year = df_global.Year.astype(np.float64)

df_global_10 = df_global.copy()
df_global_10 = df_global_10.query("2010 <= Year < 2015").reset_index().iloc[:,1:];df_global_10

	Latitude	Longitude	Magnitude	Year
0	0.663	-26.045	5.5	2010.0
1	-19.209	167.902	5.1	2010.0
2	-31.830	-178.135	5.0	2010.0
3	-19.984	168.353	5.0	2010.0
4	50.380	153.964	5.0	2010.0
...	...	...	...	...
12493	-22.874	69.345	5.2	2010.0
12494	42.360	-30.462	5.0	2010.0
12495	40.726	51.925	5.0	2010.0
12496	30.646	83.791	5.2	2010.0
12497	26.290	99.866	5.0	2010.0

12498 rows × 4 columns

GODE

gode_global = earthquake_func(df_global_10)

- get distance

gode_global.get_distance()

100%|██████████| 12498/12498 [09:15<00:00, 22.52it/s] 

gode_global.D[gode_global.D>0].mean()

8810.865423093777

- weight matrix

gode_global.get_weightmatrix(theta=(gode_global.D[gode_global.D>0].mean()),kappa=2500) 

- fit

gode_global.fit()

_df = gode_global.df.copy()

outlier_simul_one = (_df['Residual']**2).tolist()

outlier_simul_one = list(map(lambda x: -1 if x > 0.04 else 1,outlier_simul_one))

LOF

np.random.seed(77)
clf = LocalOutlierFactor(contamination=0.05)

lof_rst = clf.fit_predict(_df)

KNN

np.random.seed(77)
clf = KNN(contamination=0.05)
clf.fit(_df[['Latitude', 'Longitude','Magnitude']])

KNN(algorithm='auto', contamination=0.05, leaf_size=30, method='largest',
  metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2,
  radius=1.0)

outlier_KNN_one = list(clf.labels_)

outlier_KNN_one = list(map(lambda x: 1 if x==0  else -1,outlier_KNN_one))

CBLOF

clf = CBLOF(contamination=0.05,random_state=77)
clf.fit(df_global_10[['Latitude', 'Longitude','Magnitude']])
df_global_10['CBLOF_Clf'] = clf.labels_

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning
  super()._check_params_vs_input(X, default_n_init=10)

outlier_CBLOF_one = list(clf.labels_)

outlier_CBLOF_one = list(map(lambda x: 1 if x==0  else -1,outlier_CBLOF_one))

outlier_CBLOF_one_t = pd.DataFrame([outlier_CBLOF_one]).T.rename(columns={0:'CBLOF'})

OCSVM

np.random.seed(77)
clf = svm.OneClassSVM(nu=0.05)

clf.fit(_df)

OneClassSVM(nu=0.05)

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

outlier_OSVM_one = list(clf.predict(_df))

MCD

clf = MCD(contamination=0.05, random_state = 77)
clf.fit(_df[['Latitude','Longitude','Magnitude']])

MCD(assume_centered=False, contamination=0.05, random_state=77,
  store_precision=True, support_fraction=None)

outlier_MCD_one = list(clf.labels_)

outlier_MCD_one = list(map(lambda x: 1 if x==0  else -1,outlier_MCD_one))

Feature Bagging

clf = FeatureBagging(contamination=0.05, random_state=77)
clf.fit(_df[['Latitude','Longitude','Magnitude']])
# _df['FeatureBagging_clf'] = clf.labels_

FeatureBagging(base_estimator=None, bootstrap_features=False,
        check_detector=True, check_estimator=False, combination='average',
        contamination=0.05, estimator_params={}, max_features=1.0,
        n_estimators=10, n_jobs=1, random_state=77, verbose=0)

outlier_FeatureBagging_one = list(clf.labels_)

outlier_FeatureBagging_one = list(map(lambda x: 1 if x==0  else -1,outlier_FeatureBagging_one))

ABOD

np.random.seed(77)
clf = ABOD(contamination=0.05)
clf.fit(_df[['Latitude','Longitude','Magnitude']])

ABOD(contamination=0.05, method='fast', n_neighbors=5)

outlier_ABOD_one = list(clf.labels_)

outlier_ABOD_one = list(map(lambda x: 1 if x==0  else -1,outlier_ABOD_one))

IForest

np.random.seed(77)
od = IForest(
    threshold=0.
)

od.fit(_df[['Latitude','Longitude','Magnitude']])

preds = od.predict(
    _df[['Latitude','Longitude','Magnitude']],
    return_instance_score=True
)

outlier_alibi_one = preds['data']['is_outlier']

outlier_alibi_one = list(map(lambda x: 1 if x==0  else -1,outlier_alibi_one))

HBOS

np.random.seed(77)
clf = HBOS(contamination=0.05)
clf.fit(_df[['Latitude','Longitude','Magnitude']])

HBOS(alpha=0.1, contamination=0.05, n_bins=10, tol=0.5)

outlier_HBOS_one = list(clf.labels_)

outlier_HBOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_HBOS_one))

SOS

np.random.seed(77)
clf = SOS(contamination=0.05)

clf.fit(_df[['Latitude','Longitude','Magnitude']])

SOS(contamination=0.05, eps=1e-05, metric='euclidean', perplexity=4.5)

outlier_SOS_one = list(clf.labels_)

outlier_SOS_one = list(map(lambda x: 1 if x==0  else -1,outlier_SOS_one))

SO_GAAL

np.random.seed(77)
clf = SO_GAAL(contamination=0.05)
clf.fit(_df[['Latitude','Longitude','Magnitude']])

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

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16/16 [==============================] - 0s 3ms/step - loss: 4.7098

Testing for epoch 22 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 4.7418

Testing for epoch 22 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 4.7055

Testing for epoch 22 index 7:
16/16 [==============================] - 0s 5ms/step - loss: 4.7221

Testing for epoch 22 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 4.7539

Testing for epoch 22 index 9:
16/16 [==============================] - 0s 4ms/step - loss: 4.7479

Testing for epoch 22 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 4.7430

Testing for epoch 22 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 4.7440

Testing for epoch 22 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 4.7300

Testing for epoch 22 index 13:
16/16 [==============================] - 0s 5ms/step - loss: 4.7351

Testing for epoch 22 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 4.7559

Testing for epoch 22 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 4.7464

Testing for epoch 22 index 16:
16/16 [==============================] - 0s 6ms/step - loss: 4.7560

Testing for epoch 22 index 17:
16/16 [==============================] - 0s 4ms/step - loss: 4.7634

Testing for epoch 22 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 4.7651

Testing for epoch 22 index 19:
16/16 [==============================] - 0s 4ms/step - loss: 4.7729

Testing for epoch 22 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 4.7691

Testing for epoch 22 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 4.7768

Testing for epoch 22 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 4.8074

Testing for epoch 22 index 23:
16/16 [==============================] - 0s 5ms/step - loss: 4.7905

Testing for epoch 22 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 4.7704
Epoch 23 of 60

Testing for epoch 23 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 4.7937

Testing for epoch 23 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 4.8010

Testing for epoch 23 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 4.7948

Testing for epoch 23 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 4.8120

Testing for epoch 23 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 4.8104

Testing for epoch 23 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 4.8056

Testing for epoch 23 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 4.8022

Testing for epoch 23 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 4.8092

Testing for epoch 23 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 4.8140

Testing for epoch 23 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 4.8046

Testing for epoch 23 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 4.8333

Testing for epoch 23 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 4.8452

Testing for epoch 23 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 4.8284

Testing for epoch 23 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 4.8397

Testing for epoch 23 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 4.8210

Testing for epoch 23 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 4.8768

Testing for epoch 23 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 4.8277

Testing for epoch 23 index 18:
16/16 [==============================] - 0s 6ms/step - loss: 4.8382

Testing for epoch 23 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 4.8562

Testing for epoch 23 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 4.8390

Testing for epoch 23 index 21:
16/16 [==============================] - 0s 5ms/step - loss: 4.8635

Testing for epoch 23 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 4.8642

Testing for epoch 23 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 4.8490

Testing for epoch 23 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 4.8726
Epoch 24 of 60

Testing for epoch 24 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 4.8556

Testing for epoch 24 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 4.8659

Testing for epoch 24 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 4.8973

Testing for epoch 24 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 4.8761

Testing for epoch 24 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 4.8817

Testing for epoch 24 index 6:
16/16 [==============================] - 0s 4ms/step - loss: 4.8852

Testing for epoch 24 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 4.8805

Testing for epoch 24 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 4.8729

Testing for epoch 24 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 4.8959

Testing for epoch 24 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 4.9093

Testing for epoch 24 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 4.8615

Testing for epoch 24 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 4.8843

Testing for epoch 24 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 4.9076

Testing for epoch 24 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 4.8826

Testing for epoch 24 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 4.9150

Testing for epoch 24 index 16:
16/16 [==============================] - 0s 5ms/step - loss: 4.9066

Testing for epoch 24 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 4.9343

Testing for epoch 24 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 4.9177

Testing for epoch 24 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 4.9147

Testing for epoch 24 index 20:
16/16 [==============================] - 0s 5ms/step - loss: 4.9502

Testing for epoch 24 index 21:
16/16 [==============================] - 0s 6ms/step - loss: 4.8998

Testing for epoch 24 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 4.9131

Testing for epoch 24 index 23:
16/16 [==============================] - 0s 4ms/step - loss: 4.9300

Testing for epoch 24 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 4.9478
Epoch 25 of 60

Testing for epoch 25 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 4.9480

Testing for epoch 25 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 4.9403

Testing for epoch 25 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 4.9549

Testing for epoch 25 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 4.9240

Testing for epoch 25 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 4.9595

Testing for epoch 25 index 6:
16/16 [==============================] - 0s 4ms/step - loss: 4.9493

Testing for epoch 25 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 4.9203

Testing for epoch 25 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 4.9350

Testing for epoch 25 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 4.9523

Testing for epoch 25 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 4.9621

Testing for epoch 25 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 4.9700

Testing for epoch 25 index 12:
16/16 [==============================] - 0s 5ms/step - loss: 4.9763

Testing for epoch 25 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 4.9673

Testing for epoch 25 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 4.9871

Testing for epoch 25 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 4.9678

Testing for epoch 25 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 4.9839

Testing for epoch 25 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.0006

Testing for epoch 25 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 4.9821

Testing for epoch 25 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.0007

Testing for epoch 25 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 4.9743

Testing for epoch 25 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.0141

Testing for epoch 25 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 5.0075

Testing for epoch 25 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.0028

Testing for epoch 25 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 5.0058
Epoch 26 of 60

Testing for epoch 26 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.0178

Testing for epoch 26 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 5.0239

Testing for epoch 26 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 5.0184

Testing for epoch 26 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.0355

Testing for epoch 26 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.0005

Testing for epoch 26 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.0165

Testing for epoch 26 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.0077

Testing for epoch 26 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.0374

Testing for epoch 26 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.0279

Testing for epoch 26 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.0241

Testing for epoch 26 index 11:
16/16 [==============================] - 0s 1ms/step - loss: 5.0345

Testing for epoch 26 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.0428

Testing for epoch 26 index 13:
16/16 [==============================] - 0s 4ms/step - loss: 5.0297

Testing for epoch 26 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.0372

Testing for epoch 26 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.0134

Testing for epoch 26 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.0210

Testing for epoch 26 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.0400

Testing for epoch 26 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.0430

Testing for epoch 26 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.0704

Testing for epoch 26 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 5.0330

Testing for epoch 26 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.0652

Testing for epoch 26 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.0694

Testing for epoch 26 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.0656

Testing for epoch 26 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.0654
Epoch 27 of 60

Testing for epoch 27 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 5.0968

Testing for epoch 27 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.0606

Testing for epoch 27 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.0848

Testing for epoch 27 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.0821

Testing for epoch 27 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 5.0739

Testing for epoch 27 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.0678

Testing for epoch 27 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.0859

Testing for epoch 27 index 8:
16/16 [==============================] - 0s 5ms/step - loss: 5.0668

Testing for epoch 27 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.0771

Testing for epoch 27 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.1041

Testing for epoch 27 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.1089

Testing for epoch 27 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 5.0650

Testing for epoch 27 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.0841

Testing for epoch 27 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.0723

Testing for epoch 27 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.1145

Testing for epoch 27 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.1046

Testing for epoch 27 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.1049

Testing for epoch 27 index 18:
16/16 [==============================] - 0s 6ms/step - loss: 5.1158

Testing for epoch 27 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.1213

Testing for epoch 27 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.1488

Testing for epoch 27 index 21:
16/16 [==============================] - 0s 4ms/step - loss: 5.1272

Testing for epoch 27 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 5.1179

Testing for epoch 27 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.1185

Testing for epoch 27 index 24:
16/16 [==============================] - 0s 5ms/step - loss: 5.1447
Epoch 28 of 60

Testing for epoch 28 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.1121

Testing for epoch 28 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.1436

Testing for epoch 28 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.1260

Testing for epoch 28 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.1349

Testing for epoch 28 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.1625

Testing for epoch 28 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.1608

Testing for epoch 28 index 7:
16/16 [==============================] - 0s 4ms/step - loss: 5.1498

Testing for epoch 28 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.1509

Testing for epoch 28 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.1621

Testing for epoch 28 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.1709

Testing for epoch 28 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.1620

Testing for epoch 28 index 12:
16/16 [==============================] - 0s 1ms/step - loss: 5.1349

Testing for epoch 28 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.1895

Testing for epoch 28 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.1582

Testing for epoch 28 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.1726

Testing for epoch 28 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.1825

Testing for epoch 28 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.1971

Testing for epoch 28 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.1863

Testing for epoch 28 index 19:
16/16 [==============================] - 0s 6ms/step - loss: 5.1943

Testing for epoch 28 index 20:
16/16 [==============================] - 0s 4ms/step - loss: 5.1947

Testing for epoch 28 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.2080

Testing for epoch 28 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.1598

Testing for epoch 28 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 5.1875

Testing for epoch 28 index 24:
16/16 [==============================] - 0s 1ms/step - loss: 5.1705
Epoch 29 of 60

Testing for epoch 29 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.1692

Testing for epoch 29 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.2051

Testing for epoch 29 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.2019

Testing for epoch 29 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 5.2003

Testing for epoch 29 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.2137

Testing for epoch 29 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.1746

Testing for epoch 29 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.1792

Testing for epoch 29 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.2037

Testing for epoch 29 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.1950

Testing for epoch 29 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.1887

Testing for epoch 29 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.2319

Testing for epoch 29 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 5.2234

Testing for epoch 29 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.1984

Testing for epoch 29 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.2187

Testing for epoch 29 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.2322

Testing for epoch 29 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.2577

Testing for epoch 29 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.2258

Testing for epoch 29 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.2330

Testing for epoch 29 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.2220

Testing for epoch 29 index 20:
16/16 [==============================] - 0s 5ms/step - loss: 5.2424

Testing for epoch 29 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.2189

Testing for epoch 29 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.2445

Testing for epoch 29 index 23:
16/16 [==============================] - 0s 5ms/step - loss: 5.2501

Testing for epoch 29 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.2481
Epoch 30 of 60

Testing for epoch 30 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.2531

Testing for epoch 30 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 5.2478

Testing for epoch 30 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.2472

Testing for epoch 30 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.2390

Testing for epoch 30 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.2773

Testing for epoch 30 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.2421

Testing for epoch 30 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.2795

Testing for epoch 30 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.2583

Testing for epoch 30 index 9:
16/16 [==============================] - 0s 4ms/step - loss: 5.2734

Testing for epoch 30 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.2573

Testing for epoch 30 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.2723

Testing for epoch 30 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 5.2936

Testing for epoch 30 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.2799

Testing for epoch 30 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.2854

Testing for epoch 30 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.2804

Testing for epoch 30 index 16:
16/16 [==============================] - 0s 4ms/step - loss: 5.2767

Testing for epoch 30 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.3009

Testing for epoch 30 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.2725

Testing for epoch 30 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.2860

Testing for epoch 30 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.2956

Testing for epoch 30 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.3524

Testing for epoch 30 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 5.2871

Testing for epoch 30 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.2931

Testing for epoch 30 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.3052
Epoch 31 of 60

Testing for epoch 31 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.3068

Testing for epoch 31 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 5.2995

Testing for epoch 31 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.3154

Testing for epoch 31 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.3063

Testing for epoch 31 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 5.3113

Testing for epoch 31 index 6:
16/16 [==============================] - 0s 4ms/step - loss: 5.3140

Testing for epoch 31 index 7:
16/16 [==============================] - 0s 4ms/step - loss: 5.2919

Testing for epoch 31 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.3176

Testing for epoch 31 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.3182

Testing for epoch 31 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.3246

Testing for epoch 31 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.3132

Testing for epoch 31 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.3521

Testing for epoch 31 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.3505

Testing for epoch 31 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.3257

Testing for epoch 31 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.3285

Testing for epoch 31 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 5.3181

Testing for epoch 31 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.3502

Testing for epoch 31 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.3333

Testing for epoch 31 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.3478

Testing for epoch 31 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.3404

Testing for epoch 31 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.3630

Testing for epoch 31 index 22:
16/16 [==============================] - 0s 4ms/step - loss: 5.3254

Testing for epoch 31 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.3608

Testing for epoch 31 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 5.3677
Epoch 32 of 60

Testing for epoch 32 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.3386

Testing for epoch 32 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.3489

Testing for epoch 32 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.3513

Testing for epoch 32 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 5.3393

Testing for epoch 32 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.3666

Testing for epoch 32 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.3631

Testing for epoch 32 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.3438

Testing for epoch 32 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.3745

Testing for epoch 32 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.3283

Testing for epoch 32 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.3689

Testing for epoch 32 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.3626

Testing for epoch 32 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 5.3744

Testing for epoch 32 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.3715

Testing for epoch 32 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.3807

Testing for epoch 32 index 15:
16/16 [==============================] - 0s 4ms/step - loss: 5.3907

Testing for epoch 32 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.3471

Testing for epoch 32 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.3946

Testing for epoch 32 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.3845

Testing for epoch 32 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.3913

Testing for epoch 32 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.3797

Testing for epoch 32 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.4019

Testing for epoch 32 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 5.4038

Testing for epoch 32 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.3985

Testing for epoch 32 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 5.4343
Epoch 33 of 60

Testing for epoch 33 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.3887

Testing for epoch 33 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.4111

Testing for epoch 33 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.4144

Testing for epoch 33 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 5.4184

Testing for epoch 33 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 5.4198

Testing for epoch 33 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.4170

Testing for epoch 33 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.4043

Testing for epoch 33 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.4165

Testing for epoch 33 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.4434

Testing for epoch 33 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.4443

Testing for epoch 33 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.4343

Testing for epoch 33 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.4442

Testing for epoch 33 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.4389

Testing for epoch 33 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.4314

Testing for epoch 33 index 15:
16/16 [==============================] - 0s 4ms/step - loss: 5.4333

Testing for epoch 33 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.4358

Testing for epoch 33 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.4324

Testing for epoch 33 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.4521

Testing for epoch 33 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.4646

Testing for epoch 33 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.4417

Testing for epoch 33 index 21:
16/16 [==============================] - 0s 5ms/step - loss: 5.4380

Testing for epoch 33 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.4380

Testing for epoch 33 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.4550

Testing for epoch 33 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.4467
Epoch 34 of 60

Testing for epoch 34 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 5.4643

Testing for epoch 34 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 5.4238

Testing for epoch 34 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 5.4884

Testing for epoch 34 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.4685

Testing for epoch 34 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 5.4569

Testing for epoch 34 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.4833

Testing for epoch 34 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.4686

Testing for epoch 34 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.4653

Testing for epoch 34 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.4667

Testing for epoch 34 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.4841

Testing for epoch 34 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.4708

Testing for epoch 34 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 5.4822

Testing for epoch 34 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.4706

Testing for epoch 34 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 5.4670

Testing for epoch 34 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.5036

Testing for epoch 34 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.5103

Testing for epoch 34 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.4825

Testing for epoch 34 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.4960

Testing for epoch 34 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.4656

Testing for epoch 34 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.5012

Testing for epoch 34 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.4483

Testing for epoch 34 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 5.4662

Testing for epoch 34 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.5107

Testing for epoch 34 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.4791
Epoch 35 of 60

Testing for epoch 35 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.4801

Testing for epoch 35 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.5229

Testing for epoch 35 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.5194

Testing for epoch 35 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 5.5044

Testing for epoch 35 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 5.5350

Testing for epoch 35 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.5058

Testing for epoch 35 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.5078

Testing for epoch 35 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.5036

Testing for epoch 35 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.5097

Testing for epoch 35 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.5122

Testing for epoch 35 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.5014

Testing for epoch 35 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.4928

Testing for epoch 35 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.5170

Testing for epoch 35 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.5068

Testing for epoch 35 index 15:
16/16 [==============================] - 0s 1ms/step - loss: 5.5173

Testing for epoch 35 index 16:
16/16 [==============================] - 0s 1ms/step - loss: 5.5189

Testing for epoch 35 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.5276

Testing for epoch 35 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.5411

Testing for epoch 35 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.5377

Testing for epoch 35 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 5.5437

Testing for epoch 35 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.5136

Testing for epoch 35 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.5454

Testing for epoch 35 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 5.5352

Testing for epoch 35 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.5463
Epoch 36 of 60

Testing for epoch 36 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.5048

Testing for epoch 36 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.5647

Testing for epoch 36 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 5.5271

Testing for epoch 36 index 4:
16/16 [==============================] - 0s 5ms/step - loss: 5.5716

Testing for epoch 36 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.5549

Testing for epoch 36 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.5360

Testing for epoch 36 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.5642

Testing for epoch 36 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.5621

Testing for epoch 36 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.5437

Testing for epoch 36 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.5450

Testing for epoch 36 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.5546

Testing for epoch 36 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 5.5726

Testing for epoch 36 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.5757

Testing for epoch 36 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.5943

Testing for epoch 36 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.5310

Testing for epoch 36 index 16:
16/16 [==============================] - 0s 6ms/step - loss: 5.5557

Testing for epoch 36 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.5851

Testing for epoch 36 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.5700

Testing for epoch 36 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.5822

Testing for epoch 36 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.5724

Testing for epoch 36 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.5894

Testing for epoch 36 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.5958

Testing for epoch 36 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 5.5603

Testing for epoch 36 index 24:
16/16 [==============================] - 0s 4ms/step - loss: 5.6010
Epoch 37 of 60

Testing for epoch 37 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.6136

Testing for epoch 37 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.5856

Testing for epoch 37 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 5.5974

Testing for epoch 37 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 5.5856

Testing for epoch 37 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 5.5682

Testing for epoch 37 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.6030

Testing for epoch 37 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.5983

Testing for epoch 37 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.5799

Testing for epoch 37 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.6099

Testing for epoch 37 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.5765

Testing for epoch 37 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.5837

Testing for epoch 37 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.6008

Testing for epoch 37 index 13:
16/16 [==============================] - 0s 4ms/step - loss: 5.5745

Testing for epoch 37 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.6285

Testing for epoch 37 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 5.6076

Testing for epoch 37 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.6623

Testing for epoch 37 index 17:
16/16 [==============================] - 0s 1ms/step - loss: 5.5943

Testing for epoch 37 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.6207

Testing for epoch 37 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.6001

Testing for epoch 37 index 20:
16/16 [==============================] - 0s 6ms/step - loss: 5.6290

Testing for epoch 37 index 21:
16/16 [==============================] - 0s 4ms/step - loss: 5.6233

Testing for epoch 37 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.6396

Testing for epoch 37 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 5.6274

Testing for epoch 37 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.6313
Epoch 38 of 60

Testing for epoch 38 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.6279

Testing for epoch 38 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.6200

Testing for epoch 38 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.6340

Testing for epoch 38 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.6274

Testing for epoch 38 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.6466

Testing for epoch 38 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.6188

Testing for epoch 38 index 7:
16/16 [==============================] - 0s 8ms/step - loss: 5.6597

Testing for epoch 38 index 8:
16/16 [==============================] - 0s 6ms/step - loss: 5.6425

Testing for epoch 38 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.6760

Testing for epoch 38 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 5.6097

Testing for epoch 38 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.6548

Testing for epoch 38 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.6354

Testing for epoch 38 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.6372

Testing for epoch 38 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.6633

Testing for epoch 38 index 15:
16/16 [==============================] - 0s 4ms/step - loss: 5.6417

Testing for epoch 38 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.6559

Testing for epoch 38 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.6617

Testing for epoch 38 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.6656

Testing for epoch 38 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.6451

Testing for epoch 38 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.6225

Testing for epoch 38 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.6630

Testing for epoch 38 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.6365

Testing for epoch 38 index 23:
16/16 [==============================] - 0s 5ms/step - loss: 5.6576

Testing for epoch 38 index 24:
16/16 [==============================] - 0s 6ms/step - loss: 5.6700
Epoch 39 of 60

Testing for epoch 39 index 1:
16/16 [==============================] - 0s 4ms/step - loss: 5.6629

Testing for epoch 39 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 5.6815

Testing for epoch 39 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.6681

Testing for epoch 39 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 5.6305

Testing for epoch 39 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 5.6826

Testing for epoch 39 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.6764

Testing for epoch 39 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.6769

Testing for epoch 39 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.6855

Testing for epoch 39 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.6596

Testing for epoch 39 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.6873

Testing for epoch 39 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.6908

Testing for epoch 39 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.6968

Testing for epoch 39 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.7176

Testing for epoch 39 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.6985

Testing for epoch 39 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 5.7152

Testing for epoch 39 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.6707

Testing for epoch 39 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.6836

Testing for epoch 39 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.7100

Testing for epoch 39 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.6793

Testing for epoch 39 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.6774

Testing for epoch 39 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.6780

Testing for epoch 39 index 22:
16/16 [==============================] - 0s 5ms/step - loss: 5.7164

Testing for epoch 39 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.6861

Testing for epoch 39 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.6861
Epoch 40 of 60

Testing for epoch 40 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.7009

Testing for epoch 40 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 5.7270

Testing for epoch 40 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.7175

Testing for epoch 40 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 5.6897

Testing for epoch 40 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.7149

Testing for epoch 40 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.7203

Testing for epoch 40 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.6919

Testing for epoch 40 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.7070

Testing for epoch 40 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.7390

Testing for epoch 40 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 5.7302

Testing for epoch 40 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.7343

Testing for epoch 40 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.7045

Testing for epoch 40 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.7259

Testing for epoch 40 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.7198

Testing for epoch 40 index 15:
16/16 [==============================] - 0s 4ms/step - loss: 5.7197

Testing for epoch 40 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.7116

Testing for epoch 40 index 17:
16/16 [==============================] - 0s 4ms/step - loss: 5.7433

Testing for epoch 40 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.7073

Testing for epoch 40 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.7112

Testing for epoch 40 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.7575

Testing for epoch 40 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.7362

Testing for epoch 40 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.7269

Testing for epoch 40 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.7455

Testing for epoch 40 index 24:
16/16 [==============================] - 0s 4ms/step - loss: 5.7134
Epoch 41 of 60

Testing for epoch 41 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 5.7418

Testing for epoch 41 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.7643

Testing for epoch 41 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 5.7386

Testing for epoch 41 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.7515

Testing for epoch 41 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.7331

Testing for epoch 41 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.7514

Testing for epoch 41 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.7197

Testing for epoch 41 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.7406

Testing for epoch 41 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.7722

Testing for epoch 41 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.7704

Testing for epoch 41 index 11:
16/16 [==============================] - 0s 4ms/step - loss: 5.7537

Testing for epoch 41 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 5.7494

Testing for epoch 41 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.7838

Testing for epoch 41 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 5.7832

Testing for epoch 41 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.7790

Testing for epoch 41 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.7753

Testing for epoch 41 index 17:
16/16 [==============================] - 0s 4ms/step - loss: 5.7464

Testing for epoch 41 index 18:
16/16 [==============================] - 0s 6ms/step - loss: 5.8018

Testing for epoch 41 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 5.7780

Testing for epoch 41 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.7763

Testing for epoch 41 index 21:
16/16 [==============================] - 0s 4ms/step - loss: 5.8012

Testing for epoch 41 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.7964

Testing for epoch 41 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.7974

Testing for epoch 41 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.7845
Epoch 42 of 60

Testing for epoch 42 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 5.7756

Testing for epoch 42 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.7862

Testing for epoch 42 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.7940

Testing for epoch 42 index 4:
16/16 [==============================] - 0s 5ms/step - loss: 5.7596

Testing for epoch 42 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 5.8164

Testing for epoch 42 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 5.8081

Testing for epoch 42 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.7651

Testing for epoch 42 index 8:
16/16 [==============================] - 0s 4ms/step - loss: 5.7862

Testing for epoch 42 index 9:
16/16 [==============================] - 0s 4ms/step - loss: 5.7902

Testing for epoch 42 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.8094

Testing for epoch 42 index 11:
16/16 [==============================] - 0s 4ms/step - loss: 5.8050

Testing for epoch 42 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 5.8247

Testing for epoch 42 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.7906

Testing for epoch 42 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.8075

Testing for epoch 42 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.8088

Testing for epoch 42 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.8085

Testing for epoch 42 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.8345

Testing for epoch 42 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.8181

Testing for epoch 42 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.8136

Testing for epoch 42 index 20:
16/16 [==============================] - 0s 4ms/step - loss: 5.8165

Testing for epoch 42 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.7883

Testing for epoch 42 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.8144

Testing for epoch 42 index 23:
16/16 [==============================] - 0s 4ms/step - loss: 5.8804

Testing for epoch 42 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.8152
Epoch 43 of 60

Testing for epoch 43 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.8002

Testing for epoch 43 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 5.8363

Testing for epoch 43 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 5.8271

Testing for epoch 43 index 4:
16/16 [==============================] - 0s 5ms/step - loss: 5.8250

Testing for epoch 43 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 5.8099

Testing for epoch 43 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.8264

Testing for epoch 43 index 7:
16/16 [==============================] - 0s 4ms/step - loss: 5.8424

Testing for epoch 43 index 8:
16/16 [==============================] - 0s 1ms/step - loss: 5.8185

Testing for epoch 43 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.8202

Testing for epoch 43 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 5.8313

Testing for epoch 43 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.8291

Testing for epoch 43 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.8438

Testing for epoch 43 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 5.8256

Testing for epoch 43 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.8709

Testing for epoch 43 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 5.8210

Testing for epoch 43 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.8591

Testing for epoch 43 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.8363

Testing for epoch 43 index 18:
16/16 [==============================] - 0s 4ms/step - loss: 5.8619

Testing for epoch 43 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.8515

Testing for epoch 43 index 20:
16/16 [==============================] - 0s 4ms/step - loss: 5.8316

Testing for epoch 43 index 21:
16/16 [==============================] - 0s 4ms/step - loss: 5.8207

Testing for epoch 43 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.8428

Testing for epoch 43 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 5.8583

Testing for epoch 43 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 5.8480
Epoch 44 of 60

Testing for epoch 44 index 1:
16/16 [==============================] - 0s 5ms/step - loss: 5.8723

Testing for epoch 44 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 5.8348

Testing for epoch 44 index 3:
16/16 [==============================] - 0s 5ms/step - loss: 5.8187

Testing for epoch 44 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.8417

Testing for epoch 44 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.8639

Testing for epoch 44 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 5.8648

Testing for epoch 44 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.8472

Testing for epoch 44 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.8336

Testing for epoch 44 index 9:
16/16 [==============================] - 0s 5ms/step - loss: 5.8840

Testing for epoch 44 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.8703

Testing for epoch 44 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.8777

Testing for epoch 44 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 5.8692

Testing for epoch 44 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.8589

Testing for epoch 44 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 5.8407

Testing for epoch 44 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.8331

Testing for epoch 44 index 16:
16/16 [==============================] - 0s 4ms/step - loss: 5.8938

Testing for epoch 44 index 17:
16/16 [==============================] - 0s 4ms/step - loss: 5.8619

Testing for epoch 44 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.8774

Testing for epoch 44 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.8885

Testing for epoch 44 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.8819

Testing for epoch 44 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.9133

Testing for epoch 44 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.8429

Testing for epoch 44 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.8800

Testing for epoch 44 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.8849
Epoch 45 of 60

Testing for epoch 45 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 5.9134

Testing for epoch 45 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.9081

Testing for epoch 45 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 5.9182

Testing for epoch 45 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 5.8920

Testing for epoch 45 index 5:
16/16 [==============================] - 0s 5ms/step - loss: 5.8883

Testing for epoch 45 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.9059

Testing for epoch 45 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.9060

Testing for epoch 45 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 5.8982

Testing for epoch 45 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 5.8644

Testing for epoch 45 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 5.8923

Testing for epoch 45 index 11:
16/16 [==============================] - 0s 4ms/step - loss: 5.9084

Testing for epoch 45 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 5.9163

Testing for epoch 45 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.9074

Testing for epoch 45 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.9125

Testing for epoch 45 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.9265

Testing for epoch 45 index 16:
16/16 [==============================] - 0s 4ms/step - loss: 5.9370

Testing for epoch 45 index 17:
16/16 [==============================] - 0s 4ms/step - loss: 5.9108

Testing for epoch 45 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 5.9244

Testing for epoch 45 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.9347

Testing for epoch 45 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.9113

Testing for epoch 45 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 5.9007

Testing for epoch 45 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 5.9317

Testing for epoch 45 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 5.9223

Testing for epoch 45 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.9126
Epoch 46 of 60

Testing for epoch 46 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.9153

Testing for epoch 46 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 5.8955

Testing for epoch 46 index 3:
16/16 [==============================] - 0s 7ms/step - loss: 5.9170

Testing for epoch 46 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 5.9180

Testing for epoch 46 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 5.9109

Testing for epoch 46 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.9220

Testing for epoch 46 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 5.9577

Testing for epoch 46 index 8:
16/16 [==============================] - 0s 4ms/step - loss: 5.9268

Testing for epoch 46 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.9454

Testing for epoch 46 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 5.9733

Testing for epoch 46 index 11:
16/16 [==============================] - 0s 5ms/step - loss: 5.9346

Testing for epoch 46 index 12:
16/16 [==============================] - 0s 5ms/step - loss: 5.9033

Testing for epoch 46 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 5.9343

Testing for epoch 46 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 5.9503

Testing for epoch 46 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 5.9464

Testing for epoch 46 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 5.9226

Testing for epoch 46 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.9327

Testing for epoch 46 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 5.9119

Testing for epoch 46 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 5.9447

Testing for epoch 46 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 5.9482

Testing for epoch 46 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.9410

Testing for epoch 46 index 22:
16/16 [==============================] - 0s 4ms/step - loss: 5.9569

Testing for epoch 46 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 5.9393

Testing for epoch 46 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 5.9521
Epoch 47 of 60

Testing for epoch 47 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.9716

Testing for epoch 47 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 5.9196

Testing for epoch 47 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.9725

Testing for epoch 47 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 5.9556

Testing for epoch 47 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 5.9352

Testing for epoch 47 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 5.9455

Testing for epoch 47 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.9548

Testing for epoch 47 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.9022

Testing for epoch 47 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 5.9535

Testing for epoch 47 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 5.9565

Testing for epoch 47 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 5.9563

Testing for epoch 47 index 12:
16/16 [==============================] - 0s 5ms/step - loss: 5.9125

Testing for epoch 47 index 13:
16/16 [==============================] - 0s 4ms/step - loss: 5.9588

Testing for epoch 47 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.9736

Testing for epoch 47 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.9526

Testing for epoch 47 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.9601

Testing for epoch 47 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 5.9465

Testing for epoch 47 index 18:
16/16 [==============================] - 0s 4ms/step - loss: 5.9702

Testing for epoch 47 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 5.9689

Testing for epoch 47 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 5.9792

Testing for epoch 47 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.9632

Testing for epoch 47 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 5.9336

Testing for epoch 47 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 5.9791

Testing for epoch 47 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 5.9561
Epoch 48 of 60

Testing for epoch 48 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 5.9497

Testing for epoch 48 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 5.9749

Testing for epoch 48 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 5.9248

Testing for epoch 48 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 5.9913

Testing for epoch 48 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.0066

Testing for epoch 48 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 5.9958

Testing for epoch 48 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 5.9826

Testing for epoch 48 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 5.9738

Testing for epoch 48 index 9:
16/16 [==============================] - 0s 1ms/step - loss: 6.0052

Testing for epoch 48 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 6.0042

Testing for epoch 48 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 5.9996

Testing for epoch 48 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 5.9928

Testing for epoch 48 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 5.9932

Testing for epoch 48 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 5.9798

Testing for epoch 48 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.9978

Testing for epoch 48 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 5.9985

Testing for epoch 48 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 5.9982

Testing for epoch 48 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.0022

Testing for epoch 48 index 19:
16/16 [==============================] - 0s 4ms/step - loss: 5.9984

Testing for epoch 48 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.0223

Testing for epoch 48 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 5.9861

Testing for epoch 48 index 22:
16/16 [==============================] - 0s 1ms/step - loss: 5.9725

Testing for epoch 48 index 23:
16/16 [==============================] - 0s 1ms/step - loss: 5.9891

Testing for epoch 48 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 5.9635
Epoch 49 of 60

Testing for epoch 49 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 5.9836

Testing for epoch 49 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.0453

Testing for epoch 49 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.0216

Testing for epoch 49 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.0400

Testing for epoch 49 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.0147

Testing for epoch 49 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.0250

Testing for epoch 49 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 6.0215

Testing for epoch 49 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.0228

Testing for epoch 49 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.0400

Testing for epoch 49 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 6.0551

Testing for epoch 49 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.0247

Testing for epoch 49 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.0410

Testing for epoch 49 index 13:
16/16 [==============================] - 0s 4ms/step - loss: 6.0467

Testing for epoch 49 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 6.0557

Testing for epoch 49 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 5.9982

Testing for epoch 49 index 16:
16/16 [==============================] - 0s 4ms/step - loss: 6.0192

Testing for epoch 49 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.0212

Testing for epoch 49 index 18:
16/16 [==============================] - 0s 5ms/step - loss: 5.9879

Testing for epoch 49 index 19:
16/16 [==============================] - 0s 5ms/step - loss: 6.0411

Testing for epoch 49 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.0483

Testing for epoch 49 index 21:
16/16 [==============================] - 0s 8ms/step - loss: 6.0495

Testing for epoch 49 index 22:
16/16 [==============================] - 0s 5ms/step - loss: 6.0365

Testing for epoch 49 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.0488

Testing for epoch 49 index 24:
16/16 [==============================] - 0s 4ms/step - loss: 6.0525
Epoch 50 of 60

Testing for epoch 50 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.0281

Testing for epoch 50 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.0514

Testing for epoch 50 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 6.0538

Testing for epoch 50 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 6.0773

Testing for epoch 50 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.0703

Testing for epoch 50 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 6.0626

Testing for epoch 50 index 7:
16/16 [==============================] - 0s 4ms/step - loss: 6.0517

Testing for epoch 50 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.0628

Testing for epoch 50 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 6.0574

Testing for epoch 50 index 10:
16/16 [==============================] - 0s 1ms/step - loss: 6.0468

Testing for epoch 50 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.0268

Testing for epoch 50 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 6.0512

Testing for epoch 50 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 6.0632

Testing for epoch 50 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 6.0727

Testing for epoch 50 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.0634

Testing for epoch 50 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 6.0835

Testing for epoch 50 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.1184

Testing for epoch 50 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 6.0728

Testing for epoch 50 index 19:
16/16 [==============================] - 0s 1ms/step - loss: 6.0710

Testing for epoch 50 index 20:
16/16 [==============================] - 0s 5ms/step - loss: 6.0972

Testing for epoch 50 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.0589

Testing for epoch 50 index 22:
16/16 [==============================] - 0s 5ms/step - loss: 6.1062

Testing for epoch 50 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 6.1006

Testing for epoch 50 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.0615
Epoch 51 of 60

Testing for epoch 51 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.0543

Testing for epoch 51 index 2:
16/16 [==============================] - 0s 4ms/step - loss: 6.0662

Testing for epoch 51 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 6.0651

Testing for epoch 51 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.1064

Testing for epoch 51 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 6.0808

Testing for epoch 51 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 6.0958

Testing for epoch 51 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 6.0906

Testing for epoch 51 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.0534

Testing for epoch 51 index 9:
16/16 [==============================] - 0s 4ms/step - loss: 6.1108

Testing for epoch 51 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 6.0792

Testing for epoch 51 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.0705

Testing for epoch 51 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 6.1107

Testing for epoch 51 index 13:
16/16 [==============================] - 0s 6ms/step - loss: 6.0824

Testing for epoch 51 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.0889

Testing for epoch 51 index 15:
16/16 [==============================] - 0s 5ms/step - loss: 6.0590

Testing for epoch 51 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.0646

Testing for epoch 51 index 17:
16/16 [==============================] - 0s 4ms/step - loss: 6.1190

Testing for epoch 51 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.0963

Testing for epoch 51 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 6.0772

Testing for epoch 51 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.1227

Testing for epoch 51 index 21:
16/16 [==============================] - 0s 5ms/step - loss: 6.0740

Testing for epoch 51 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.0823

Testing for epoch 51 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.1284

Testing for epoch 51 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 6.0953
Epoch 52 of 60

Testing for epoch 52 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.1125

Testing for epoch 52 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.1013

Testing for epoch 52 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.1189

Testing for epoch 52 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 6.1029

Testing for epoch 52 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 6.1042

Testing for epoch 52 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.1004

Testing for epoch 52 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.1053

Testing for epoch 52 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.1313

Testing for epoch 52 index 9:
16/16 [==============================] - 0s 5ms/step - loss: 6.1350

Testing for epoch 52 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 6.1108

Testing for epoch 52 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.1278

Testing for epoch 52 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 6.1270

Testing for epoch 52 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 6.1211

Testing for epoch 52 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.1447

Testing for epoch 52 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.1266

Testing for epoch 52 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 6.1244

Testing for epoch 52 index 17:
16/16 [==============================] - 0s 7ms/step - loss: 6.1018

Testing for epoch 52 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.0683

Testing for epoch 52 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 6.1324

Testing for epoch 52 index 20:
16/16 [==============================] - 0s 6ms/step - loss: 6.1616

Testing for epoch 52 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 6.1460

Testing for epoch 52 index 22:
16/16 [==============================] - 0s 4ms/step - loss: 6.1076

Testing for epoch 52 index 23:
16/16 [==============================] - 0s 7ms/step - loss: 6.1136

Testing for epoch 52 index 24:
16/16 [==============================] - 0s 4ms/step - loss: 6.1475
Epoch 53 of 60

Testing for epoch 53 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.1308

Testing for epoch 53 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.1162

Testing for epoch 53 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 6.1342

Testing for epoch 53 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 6.1192

Testing for epoch 53 index 5:
16/16 [==============================] - 0s 5ms/step - loss: 6.1556

Testing for epoch 53 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 6.1464

Testing for epoch 53 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 6.1437

Testing for epoch 53 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.1293

Testing for epoch 53 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.1485

Testing for epoch 53 index 10:
16/16 [==============================] - 0s 4ms/step - loss: 6.1250

Testing for epoch 53 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.1264

Testing for epoch 53 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 6.1337

Testing for epoch 53 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.1406

Testing for epoch 53 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 6.1464

Testing for epoch 53 index 15:
16/16 [==============================] - 0s 5ms/step - loss: 6.1422

Testing for epoch 53 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.1638

Testing for epoch 53 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.1625

Testing for epoch 53 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.1401

Testing for epoch 53 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 6.1578

Testing for epoch 53 index 20:
16/16 [==============================] - 0s 4ms/step - loss: 6.1499

Testing for epoch 53 index 21:
16/16 [==============================] - 0s 5ms/step - loss: 6.0781

Testing for epoch 53 index 22:
16/16 [==============================] - 0s 4ms/step - loss: 6.1469

Testing for epoch 53 index 23:
16/16 [==============================] - 0s 4ms/step - loss: 6.1408

Testing for epoch 53 index 24:
16/16 [==============================] - 0s 5ms/step - loss: 6.1427
Epoch 54 of 60

Testing for epoch 54 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.1727

Testing for epoch 54 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.1613

Testing for epoch 54 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 6.1770

Testing for epoch 54 index 4:
16/16 [==============================] - 0s 2ms/step - loss: 6.1584

Testing for epoch 54 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.1313

Testing for epoch 54 index 6:
16/16 [==============================] - 0s 1ms/step - loss: 6.1917

Testing for epoch 54 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.1657

Testing for epoch 54 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.1652

Testing for epoch 54 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.1991

Testing for epoch 54 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.1443

Testing for epoch 54 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.1706

Testing for epoch 54 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 6.1676

Testing for epoch 54 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.1664

Testing for epoch 54 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 6.1555

Testing for epoch 54 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 6.1544

Testing for epoch 54 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 6.1513

Testing for epoch 54 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 6.2117

Testing for epoch 54 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.1832

Testing for epoch 54 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.1621

Testing for epoch 54 index 20:
16/16 [==============================] - 0s 3ms/step - loss: 6.2106

Testing for epoch 54 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 6.1610

Testing for epoch 54 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.1944

Testing for epoch 54 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.1803

Testing for epoch 54 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.1681
Epoch 55 of 60

Testing for epoch 55 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.1808

Testing for epoch 55 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.1598

Testing for epoch 55 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.1737

Testing for epoch 55 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 6.1745

Testing for epoch 55 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.1597

Testing for epoch 55 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2120

Testing for epoch 55 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.1821

Testing for epoch 55 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.1519

Testing for epoch 55 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 6.1732

Testing for epoch 55 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.2045

Testing for epoch 55 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.1981

Testing for epoch 55 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.1937

Testing for epoch 55 index 13:
16/16 [==============================] - 0s 3ms/step - loss: 6.1928

Testing for epoch 55 index 14:
16/16 [==============================] - 0s 1ms/step - loss: 6.1968

Testing for epoch 55 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.1875

Testing for epoch 55 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.2150

Testing for epoch 55 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 6.2340

Testing for epoch 55 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.2008

Testing for epoch 55 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.1965

Testing for epoch 55 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.1914

Testing for epoch 55 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.2119

Testing for epoch 55 index 22:
16/16 [==============================] - 0s 4ms/step - loss: 6.2293

Testing for epoch 55 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 6.2004

Testing for epoch 55 index 24:
16/16 [==============================] - 0s 5ms/step - loss: 6.2373
Epoch 56 of 60

Testing for epoch 56 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.1805

Testing for epoch 56 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.2100

Testing for epoch 56 index 3:
16/16 [==============================] - 0s 2ms/step - loss: 6.2417

Testing for epoch 56 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 6.2026

Testing for epoch 56 index 5:
16/16 [==============================] - 0s 3ms/step - loss: 6.2097

Testing for epoch 56 index 6:
16/16 [==============================] - 0s 3ms/step - loss: 6.2427

Testing for epoch 56 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.2438

Testing for epoch 56 index 8:
16/16 [==============================] - 0s 4ms/step - loss: 6.2284

Testing for epoch 56 index 9:
16/16 [==============================] - 0s 2ms/step - loss: 6.2324

Testing for epoch 56 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 6.2328

Testing for epoch 56 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 6.2078

Testing for epoch 56 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.2032

Testing for epoch 56 index 13:
16/16 [==============================] - 0s 1ms/step - loss: 6.2334

Testing for epoch 56 index 14:
16/16 [==============================] - 0s 3ms/step - loss: 6.2335

Testing for epoch 56 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.2113

Testing for epoch 56 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.2213

Testing for epoch 56 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.2428

Testing for epoch 56 index 18:
16/16 [==============================] - 0s 4ms/step - loss: 6.2453

Testing for epoch 56 index 19:
16/16 [==============================] - 0s 3ms/step - loss: 6.2633

Testing for epoch 56 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.2664

Testing for epoch 56 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.1929

Testing for epoch 56 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 6.2593

Testing for epoch 56 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.2334

Testing for epoch 56 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.1877
Epoch 57 of 60

Testing for epoch 57 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.2317

Testing for epoch 57 index 2:
16/16 [==============================] - 0s 5ms/step - loss: 6.2433

Testing for epoch 57 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 6.2605

Testing for epoch 57 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 6.2367

Testing for epoch 57 index 5:
16/16 [==============================] - 0s 2ms/step - loss: 6.2634

Testing for epoch 57 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2406

Testing for epoch 57 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.2294

Testing for epoch 57 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.2600

Testing for epoch 57 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 6.2244

Testing for epoch 57 index 10:
16/16 [==============================] - 0s 2ms/step - loss: 6.2244

Testing for epoch 57 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.2478

Testing for epoch 57 index 12:
16/16 [==============================] - 0s 4ms/step - loss: 6.2497

Testing for epoch 57 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.2614

Testing for epoch 57 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.2557

Testing for epoch 57 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.2707

Testing for epoch 57 index 16:
16/16 [==============================] - 0s 3ms/step - loss: 6.3053

Testing for epoch 57 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.2781

Testing for epoch 57 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.2465

Testing for epoch 57 index 19:
16/16 [==============================] - 0s 2ms/step - loss: 6.2903

Testing for epoch 57 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.2279

Testing for epoch 57 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.2602

Testing for epoch 57 index 22:
16/16 [==============================] - 0s 2ms/step - loss: 6.2742

Testing for epoch 57 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.2637

Testing for epoch 57 index 24:
16/16 [==============================] - 0s 5ms/step - loss: 6.2615
Epoch 58 of 60

Testing for epoch 58 index 1:
16/16 [==============================] - 0s 2ms/step - loss: 6.2390

Testing for epoch 58 index 2:
16/16 [==============================] - 0s 2ms/step - loss: 6.2720

Testing for epoch 58 index 3:
16/16 [==============================] - 0s 3ms/step - loss: 6.2376

Testing for epoch 58 index 4:
16/16 [==============================] - 0s 4ms/step - loss: 6.2569

Testing for epoch 58 index 5:
16/16 [==============================] - 0s 1ms/step - loss: 6.2901

Testing for epoch 58 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2671

Testing for epoch 58 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.2887

Testing for epoch 58 index 8:
16/16 [==============================] - 0s 2ms/step - loss: 6.2916

Testing for epoch 58 index 9:
16/16 [==============================] - 0s 5ms/step - loss: 6.2918

Testing for epoch 58 index 10:
16/16 [==============================] - 0s 3ms/step - loss: 6.2707

Testing for epoch 58 index 11:
16/16 [==============================] - 0s 3ms/step - loss: 6.2940

Testing for epoch 58 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 6.2692

Testing for epoch 58 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.3171

Testing for epoch 58 index 14:
16/16 [==============================] - 0s 4ms/step - loss: 6.3134

Testing for epoch 58 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.2724

Testing for epoch 58 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.2800

Testing for epoch 58 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.2405

Testing for epoch 58 index 18:
16/16 [==============================] - 0s 3ms/step - loss: 6.2946

Testing for epoch 58 index 19:
16/16 [==============================] - 0s 4ms/step - loss: 6.3015

Testing for epoch 58 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.2945

Testing for epoch 58 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.2946

Testing for epoch 58 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 6.2892

Testing for epoch 58 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.2684

Testing for epoch 58 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 6.2748
Epoch 59 of 60

Testing for epoch 59 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.3171

Testing for epoch 59 index 2:
16/16 [==============================] - 0s 3ms/step - loss: 6.3197

Testing for epoch 59 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 6.2961

Testing for epoch 59 index 4:
16/16 [==============================] - 0s 5ms/step - loss: 6.2599

Testing for epoch 59 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 6.3151

Testing for epoch 59 index 6:
16/16 [==============================] - 0s 2ms/step - loss: 6.2708

Testing for epoch 59 index 7:
16/16 [==============================] - 0s 3ms/step - loss: 6.2836

Testing for epoch 59 index 8:
16/16 [==============================] - 0s 4ms/step - loss: 6.2834

Testing for epoch 59 index 9:
16/16 [==============================] - 0s 6ms/step - loss: 6.2825

Testing for epoch 59 index 10:
16/16 [==============================] - 0s 7ms/step - loss: 6.3081

Testing for epoch 59 index 11:
16/16 [==============================] - 0s 5ms/step - loss: 6.3081

Testing for epoch 59 index 12:
16/16 [==============================] - 0s 3ms/step - loss: 6.3084

Testing for epoch 59 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.2853

Testing for epoch 59 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.3373

Testing for epoch 59 index 15:
16/16 [==============================] - 0s 3ms/step - loss: 6.2938

Testing for epoch 59 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.2789

Testing for epoch 59 index 17:
16/16 [==============================] - 0s 2ms/step - loss: 6.3184

Testing for epoch 59 index 18:
16/16 [==============================] - 0s 2ms/step - loss: 6.2915

Testing for epoch 59 index 19:
16/16 [==============================] - 0s 5ms/step - loss: 6.3165

Testing for epoch 59 index 20:
16/16 [==============================] - 0s 1ms/step - loss: 6.2827

Testing for epoch 59 index 21:
16/16 [==============================] - 0s 3ms/step - loss: 6.3339

Testing for epoch 59 index 22:
16/16 [==============================] - 0s 4ms/step - loss: 6.2861

Testing for epoch 59 index 23:
16/16 [==============================] - 0s 3ms/step - loss: 6.3249

Testing for epoch 59 index 24:
16/16 [==============================] - 0s 2ms/step - loss: 6.2736
Epoch 60 of 60

Testing for epoch 60 index 1:
16/16 [==============================] - 0s 3ms/step - loss: 6.3263

Testing for epoch 60 index 2:
16/16 [==============================] - 0s 1ms/step - loss: 6.3108

Testing for epoch 60 index 3:
16/16 [==============================] - 0s 4ms/step - loss: 6.3113

Testing for epoch 60 index 4:
16/16 [==============================] - 0s 3ms/step - loss: 6.3175

Testing for epoch 60 index 5:
16/16 [==============================] - 0s 4ms/step - loss: 6.3234

Testing for epoch 60 index 6:
16/16 [==============================] - 0s 5ms/step - loss: 6.2934

Testing for epoch 60 index 7:
16/16 [==============================] - 0s 2ms/step - loss: 6.3311

Testing for epoch 60 index 8:
16/16 [==============================] - 0s 3ms/step - loss: 6.3265

Testing for epoch 60 index 9:
16/16 [==============================] - 0s 3ms/step - loss: 6.3275

Testing for epoch 60 index 10:
16/16 [==============================] - 0s 7ms/step - loss: 6.3144

Testing for epoch 60 index 11:
16/16 [==============================] - 0s 2ms/step - loss: 6.3347

Testing for epoch 60 index 12:
16/16 [==============================] - 0s 2ms/step - loss: 6.3270

Testing for epoch 60 index 13:
16/16 [==============================] - 0s 2ms/step - loss: 6.3447

Testing for epoch 60 index 14:
16/16 [==============================] - 0s 2ms/step - loss: 6.3415

Testing for epoch 60 index 15:
16/16 [==============================] - 0s 2ms/step - loss: 6.3293

Testing for epoch 60 index 16:
16/16 [==============================] - 0s 2ms/step - loss: 6.3102

Testing for epoch 60 index 17:
16/16 [==============================] - 0s 3ms/step - loss: 6.3455

Testing for epoch 60 index 18:
16/16 [==============================] - 0s 5ms/step - loss: 6.3311

Testing for epoch 60 index 19:
16/16 [==============================] - 0s 5ms/step - loss: 6.3510

Testing for epoch 60 index 20:
16/16 [==============================] - 0s 2ms/step - loss: 6.3097

Testing for epoch 60 index 21:
16/16 [==============================] - 0s 2ms/step - loss: 6.3141

Testing for epoch 60 index 22:
16/16 [==============================] - 0s 3ms/step - loss: 6.3513

Testing for epoch 60 index 23:
16/16 [==============================] - 0s 2ms/step - loss: 6.3189

Testing for epoch 60 index 24:
16/16 [==============================] - 0s 3ms/step - loss: 6.3623
391/391 [==============================] - 1s 1ms/step

SO_GAAL(contamination=0.05, lr_d=0.01, lr_g=0.0001, momentum=0.9,
    stop_epochs=20)

outlier_SO_GAAL_one = list(clf.labels_)

outlier_SO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_SO_GAAL_one))

MO_GAAL

np.random.seed(77)
clf = MO_GAAL(contamination=0.05)
clf.fit(_df[['Latitude','Longitude','Magnitude']])

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/keras/src/optimizers/legacy/gradient_descent.py:114: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.
  super().__init__(name, **kwargs)

Epoch 1 of 60

Testing for epoch 1 index 1:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 2:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 3:
391/391 [==============================] - 0s 984us/step

Testing for epoch 1 index 4:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 5:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 6:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 7:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 8:
391/391 [==============================] - 0s 998us/step

Testing for epoch 1 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 10:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 13:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 15:
391/391 [==============================] - 0s 983us/step

Testing for epoch 1 index 16:
391/391 [==============================] - 0s 854us/step

Testing for epoch 1 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 19:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 1 index 21:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 22:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 23:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 1 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 2 of 60

Testing for epoch 2 index 1:
391/391 [==============================] - 0s 961us/step

Testing for epoch 2 index 2:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 4:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 2 index 6:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 2 index 7:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 9:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 2 index 11:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 12:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 15:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 16:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 17:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 18:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 2 index 19:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 2 index 20:
391/391 [==============================] - 0s 651us/step

Testing for epoch 2 index 21:
391/391 [==============================] - 0s 846us/step

Testing for epoch 2 index 22:
391/391 [==============================] - 0s 544us/step

Testing for epoch 2 index 23:
391/391 [==============================] - 0s 583us/step

Testing for epoch 2 index 24:
391/391 [==============================] - 0s 753us/step
Epoch 3 of 60

Testing for epoch 3 index 1:
391/391 [==============================] - 0s 571us/step

Testing for epoch 3 index 2:
391/391 [==============================] - 0s 559us/step

Testing for epoch 3 index 3:
391/391 [==============================] - 0s 608us/step

Testing for epoch 3 index 4:
391/391 [==============================] - 0s 622us/step

Testing for epoch 3 index 5:
391/391 [==============================] - 0s 695us/step

Testing for epoch 3 index 6:
391/391 [==============================] - 0s 609us/step

Testing for epoch 3 index 7:
391/391 [==============================] - 0s 540us/step

Testing for epoch 3 index 8:
391/391 [==============================] - 0s 635us/step

Testing for epoch 3 index 9:
391/391 [==============================] - 0s 606us/step

Testing for epoch 3 index 10:
391/391 [==============================] - 0s 611us/step

Testing for epoch 3 index 11:
391/391 [==============================] - 0s 606us/step

Testing for epoch 3 index 12:
391/391 [==============================] - 0s 607us/step

Testing for epoch 3 index 13:
391/391 [==============================] - 0s 803us/step

Testing for epoch 3 index 14:
391/391 [==============================] - 0s 668us/step

Testing for epoch 3 index 15:
391/391 [==============================] - 0s 598us/step

Testing for epoch 3 index 16:
391/391 [==============================] - 0s 592us/step

Testing for epoch 3 index 17:
391/391 [==============================] - 0s 603us/step

Testing for epoch 3 index 18:
391/391 [==============================] - 0s 681us/step

Testing for epoch 3 index 19:
391/391 [==============================] - 0s 586us/step

Testing for epoch 3 index 20:
391/391 [==============================] - 0s 599us/step

Testing for epoch 3 index 21:
391/391 [==============================] - 0s 617us/step

Testing for epoch 3 index 22:
391/391 [==============================] - 0s 615us/step

Testing for epoch 3 index 23:
391/391 [==============================] - 0s 602us/step

Testing for epoch 3 index 24:
391/391 [==============================] - 0s 612us/step
Epoch 4 of 60

Testing for epoch 4 index 1:
391/391 [==============================] - 0s 649us/step

Testing for epoch 4 index 2:
391/391 [==============================] - 0s 535us/step

Testing for epoch 4 index 3:
391/391 [==============================] - 0s 690us/step

Testing for epoch 4 index 4:
391/391 [==============================] - 0s 723us/step

Testing for epoch 4 index 5:
391/391 [==============================] - 0s 582us/step

Testing for epoch 4 index 6:
391/391 [==============================] - 0s 588us/step

Testing for epoch 4 index 7:
391/391 [==============================] - 0s 685us/step

Testing for epoch 4 index 8:
391/391 [==============================] - 0s 606us/step

Testing for epoch 4 index 9:
391/391 [==============================] - 0s 633us/step

Testing for epoch 4 index 10:
391/391 [==============================] - 0s 592us/step

Testing for epoch 4 index 11:
391/391 [==============================] - 0s 677us/step

Testing for epoch 4 index 12:
391/391 [==============================] - 0s 583us/step

Testing for epoch 4 index 13:
391/391 [==============================] - 0s 599us/step

Testing for epoch 4 index 14:
391/391 [==============================] - 0s 598us/step

Testing for epoch 4 index 15:
391/391 [==============================] - 0s 724us/step

Testing for epoch 4 index 16:
391/391 [==============================] - 0s 594us/step

Testing for epoch 4 index 17:
391/391 [==============================] - 0s 664us/step

Testing for epoch 4 index 18:
391/391 [==============================] - 0s 642us/step

Testing for epoch 4 index 19:
391/391 [==============================] - 0s 570us/step

Testing for epoch 4 index 20:
391/391 [==============================] - 0s 611us/step

Testing for epoch 4 index 21:
391/391 [==============================] - 0s 595us/step

Testing for epoch 4 index 22:
391/391 [==============================] - 0s 763us/step

Testing for epoch 4 index 23:
391/391 [==============================] - 0s 589us/step

Testing for epoch 4 index 24:
391/391 [==============================] - 0s 739us/step
Epoch 5 of 60

Testing for epoch 5 index 1:
391/391 [==============================] - 0s 562us/step

Testing for epoch 5 index 2:
391/391 [==============================] - 0s 581us/step

Testing for epoch 5 index 3:
391/391 [==============================] - 0s 679us/step

Testing for epoch 5 index 4:
391/391 [==============================] - 0s 525us/step

Testing for epoch 5 index 5:
391/391 [==============================] - 0s 676us/step

Testing for epoch 5 index 6:
391/391 [==============================] - 0s 746us/step

Testing for epoch 5 index 7:
391/391 [==============================] - 0s 600us/step

Testing for epoch 5 index 8:
391/391 [==============================] - 0s 660us/step

Testing for epoch 5 index 9:
391/391 [==============================] - 0s 698us/step

Testing for epoch 5 index 10:
391/391 [==============================] - 0s 628us/step

Testing for epoch 5 index 11:
391/391 [==============================] - 0s 567us/step

Testing for epoch 5 index 12:
391/391 [==============================] - 0s 728us/step

Testing for epoch 5 index 13:
391/391 [==============================] - 0s 614us/step

Testing for epoch 5 index 14:
391/391 [==============================] - 0s 586us/step

Testing for epoch 5 index 15:
391/391 [==============================] - 0s 606us/step

Testing for epoch 5 index 16:
391/391 [==============================] - 0s 647us/step

Testing for epoch 5 index 17:
391/391 [==============================] - 0s 587us/step

Testing for epoch 5 index 18:
391/391 [==============================] - 0s 612us/step

Testing for epoch 5 index 19:
391/391 [==============================] - 0s 691us/step

Testing for epoch 5 index 20:
391/391 [==============================] - 0s 585us/step

Testing for epoch 5 index 21:
391/391 [==============================] - 0s 604us/step

Testing for epoch 5 index 22:
391/391 [==============================] - 0s 596us/step

Testing for epoch 5 index 23:
391/391 [==============================] - 0s 587us/step

Testing for epoch 5 index 24:
391/391 [==============================] - 0s 633us/step
Epoch 6 of 60

Testing for epoch 6 index 1:
391/391 [==============================] - 0s 689us/step

Testing for epoch 6 index 2:
391/391 [==============================] - 0s 595us/step

Testing for epoch 6 index 3:
391/391 [==============================] - 0s 686us/step

Testing for epoch 6 index 4:
391/391 [==============================] - 0s 605us/step

Testing for epoch 6 index 5:
391/391 [==============================] - 0s 603us/step

Testing for epoch 6 index 6:
391/391 [==============================] - 0s 670us/step

Testing for epoch 6 index 7:
391/391 [==============================] - 0s 642us/step

Testing for epoch 6 index 8:
391/391 [==============================] - 0s 603us/step

Testing for epoch 6 index 9:
391/391 [==============================] - 0s 583us/step

Testing for epoch 6 index 10:
391/391 [==============================] - 0s 718us/step

Testing for epoch 6 index 11:
391/391 [==============================] - 0s 628us/step

Testing for epoch 6 index 12:
391/391 [==============================] - 0s 610us/step

Testing for epoch 6 index 13:
391/391 [==============================] - 0s 618us/step

Testing for epoch 6 index 14:
391/391 [==============================] - 0s 595us/step

Testing for epoch 6 index 15:
391/391 [==============================] - 0s 532us/step

Testing for epoch 6 index 16:
391/391 [==============================] - 0s 621us/step

Testing for epoch 6 index 17:
391/391 [==============================] - 0s 731us/step

Testing for epoch 6 index 18:
391/391 [==============================] - 0s 606us/step

Testing for epoch 6 index 19:
391/391 [==============================] - 0s 631us/step

Testing for epoch 6 index 20:
391/391 [==============================] - 0s 619us/step

Testing for epoch 6 index 21:
391/391 [==============================] - 0s 676us/step

Testing for epoch 6 index 22:
391/391 [==============================] - 0s 759us/step

Testing for epoch 6 index 23:
391/391 [==============================] - 0s 711us/step

Testing for epoch 6 index 24:
391/391 [==============================] - 0s 803us/step
Epoch 7 of 60

Testing for epoch 7 index 1:
391/391 [==============================] - 0s 605us/step

Testing for epoch 7 index 2:
391/391 [==============================] - 0s 708us/step

Testing for epoch 7 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 7 index 4:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 7 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 6:
391/391 [==============================] - 1s 2ms/step

Testing for epoch 7 index 7:
391/391 [==============================] - 1s 2ms/step

Testing for epoch 7 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 7 index 9:
391/391 [==============================] - 1s 3ms/step

Testing for epoch 7 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 11:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 7 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 13:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 14:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 15:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 7 index 16:
391/391 [==============================] - 0s 663us/step

Testing for epoch 7 index 17:
391/391 [==============================] - 0s 692us/step

Testing for epoch 7 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 7 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 20:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 7 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 23:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 7 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 8 of 60

Testing for epoch 8 index 1:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 2:
391/391 [==============================] - 0s 981us/step

Testing for epoch 8 index 3:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 8 index 7:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 8 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 12:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 8 index 13:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 8 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 16:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 18:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 21:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 8 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 23:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 8 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 9 of 60

Testing for epoch 9 index 1:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 3:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 5:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 9 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 9 index 7:
391/391 [==============================] - 1s 2ms/step

Testing for epoch 9 index 8:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 9 index 14:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 16:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 17:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 9 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 9 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 9 index 23:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 9 index 24:
391/391 [==============================] - 1s 1ms/step
Epoch 10 of 60

Testing for epoch 10 index 1:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 2:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 3:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 4:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 7:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 8:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 10:
391/391 [==============================] - 0s 934us/step

Testing for epoch 10 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 15:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 16:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 10 index 23:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 10 index 24:
391/391 [==============================] - 1s 1ms/step
Epoch 11 of 60

Testing for epoch 11 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 2:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 4:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 5:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 7:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 8:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 9:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 12:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 15:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 16:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 11 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 18:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 23:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 11 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 12 of 60

Testing for epoch 12 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 2:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 5:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 6:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 7:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 8:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 9:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 11:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 14:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 16:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 12 index 21:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 22:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 23:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 12 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 13 of 60

Testing for epoch 13 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 3:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 6:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 7:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 10:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 11:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 12:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 16:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 19:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 13 index 23:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 13 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 14 of 60

Testing for epoch 14 index 1:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 3:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 5:
391/391 [==============================] - 1s 2ms/step

Testing for epoch 14 index 6:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 7:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 14 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 10:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 14 index 11:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 14 index 12:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 14 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 14 index 14:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 16:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 18:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 19:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 14 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 22:
391/391 [==============================] - 0s 966us/step

Testing for epoch 14 index 23:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 14 index 24:
391/391 [==============================] - 1s 1ms/step
Epoch 15 of 60

Testing for epoch 15 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 15 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 15 index 4:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 15 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 6:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 7:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 15 index 9:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 15 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 13:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 14:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 15:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 15 index 16:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 18:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 22:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 15 index 23:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 15 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 16 of 60

Testing for epoch 16 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 5:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 7:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 14:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 16:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 17:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 19:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 16 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 23:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 16 index 24:
391/391 [==============================] - 1s 1ms/step
Epoch 17 of 60

Testing for epoch 17 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 17 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 3:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 17 index 7:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 8:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 9:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 17 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 11:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 17 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 13:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 17 index 15:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 17 index 16:
391/391 [==============================] - 0s 960us/step

Testing for epoch 17 index 17:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 17 index 18:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 19:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 21:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 23:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 17 index 24:
391/391 [==============================] - 1s 1ms/step
Epoch 18 of 60

Testing for epoch 18 index 1:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 3:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 4:
391/391 [==============================] - 0s 979us/step

Testing for epoch 18 index 5:
391/391 [==============================] - 0s 944us/step

Testing for epoch 18 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 18 index 7:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 8:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 9:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 10:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 11:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 12:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 18 index 14:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 16:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 18 index 18:
391/391 [==============================] - 0s 987us/step

Testing for epoch 18 index 19:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 18 index 20:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 18 index 21:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 18 index 22:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 18 index 23:
391/391 [==============================] - 0s 990us/step

Testing for epoch 18 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 19 of 60

Testing for epoch 19 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 2:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 4:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 5:
391/391 [==============================] - 1s 2ms/step

Testing for epoch 19 index 6:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 7:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 8:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 9:
391/391 [==============================] - 1s 2ms/step

Testing for epoch 19 index 10:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 11:
391/391 [==============================] - 0s 953us/step

Testing for epoch 19 index 12:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 13:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 15:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 16:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 17:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 19:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 20:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 21:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 19 index 23:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 19 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 20 of 60

Testing for epoch 20 index 1:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 20 index 2:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 3:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 4:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 5:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 20 index 6:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 7:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 8:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 9:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 10:
391/391 [==============================] - 0s 924us/step

Testing for epoch 20 index 11:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 12:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 13:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 14:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 15:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 16:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 17:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 18:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 19:
391/391 [==============================] - 0s 930us/step

Testing for epoch 20 index 20:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 21:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 22:
391/391 [==============================] - 1s 1ms/step

Testing for epoch 20 index 23:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 20 index 24:
391/391 [==============================] - 0s 1ms/step
Epoch 21 of 60

Testing for epoch 21 index 1:
391/391 [==============================] - 0s 1ms/step

Testing for epoch 21 index 2:
391/391 [==============================] - 0s 993us/step
16/16 [==============================] - 0s 2ms/step - loss: 3.8727
16/16 [==============================] - 0s 1ms/step - loss: 4.5226
16/16 [==============================] - 0s 2ms/step - loss: 4.5226
16/16 [==============================] - 0s 2ms/step - loss: 4.5226
16/16 [==============================] - 0s 1ms/step - loss: 4.5226
16/16 [==============================] - 1s 1ms/step - loss: 4.5226
16/16 [==============================] - 0s 2ms/step - loss: 4.5226
16/16 [==============================] - 0s 2ms/step - loss: 4.5226
16/16 [==============================] - 0s 2ms/step - loss: 4.5226
16/16 [==============================] - 0s 3ms/step - loss: 4.5226

Testing for epoch 21 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.8556
16/16 [==============================] - 0s 2ms/step - loss: 4.5231
16/16 [==============================] - 0s 4ms/step - loss: 4.5231
16/16 [==============================] - 0s 2ms/step - loss: 4.5231
16/16 [==============================] - 0s 1ms/step - loss: 4.5231
16/16 [==============================] - 0s 1ms/step - loss: 4.5231
16/16 [==============================] - 0s 2ms/step - loss: 4.5231
16/16 [==============================] - 0s 3ms/step - loss: 4.5231
16/16 [==============================] - 0s 2ms/step - loss: 4.5231
16/16 [==============================] - 0s 2ms/step - loss: 4.5231

Testing for epoch 21 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.8306
16/16 [==============================] - 0s 3ms/step - loss: 4.5164
16/16 [==============================] - 0s 2ms/step - loss: 4.5164
16/16 [==============================] - 0s 2ms/step - loss: 4.5164
16/16 [==============================] - 0s 2ms/step - loss: 4.5164
16/16 [==============================] - 0s 1ms/step - loss: 4.5164
16/16 [==============================] - 0s 4ms/step - loss: 4.5164
16/16 [==============================] - 0s 1ms/step - loss: 4.5164
16/16 [==============================] - 0s 2ms/step - loss: 4.5164
16/16 [==============================] - 0s 2ms/step - loss: 4.5164

Testing for epoch 21 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.8283
16/16 [==============================] - 0s 4ms/step - loss: 4.5415
16/16 [==============================] - 0s 2ms/step - loss: 4.5415
16/16 [==============================] - 0s 1ms/step - loss: 4.5415
16/16 [==============================] - 0s 2ms/step - loss: 4.5415
16/16 [==============================] - 0s 3ms/step - loss: 4.5415
16/16 [==============================] - 0s 3ms/step - loss: 4.5415
16/16 [==============================] - 0s 3ms/step - loss: 4.5415
16/16 [==============================] - 0s 2ms/step - loss: 4.5415
16/16 [==============================] - 0s 4ms/step - loss: 4.5415

Testing for epoch 21 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.7952
16/16 [==============================] - 0s 2ms/step - loss: 4.5282
16/16 [==============================] - 0s 1ms/step - loss: 4.5282
16/16 [==============================] - 0s 3ms/step - loss: 4.5282
16/16 [==============================] - 0s 2ms/step - loss: 4.5282
16/16 [==============================] - 0s 2ms/step - loss: 4.5282
16/16 [==============================] - 0s 2ms/step - loss: 4.5282
16/16 [==============================] - 0s 2ms/step - loss: 4.5282
16/16 [==============================] - 0s 1ms/step - loss: 4.5282
16/16 [==============================] - 0s 2ms/step - loss: 4.5282

Testing for epoch 21 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.7874
16/16 [==============================] - 0s 2ms/step - loss: 4.5525
16/16 [==============================] - 0s 3ms/step - loss: 4.5525
16/16 [==============================] - 0s 2ms/step - loss: 4.5525
16/16 [==============================] - 0s 2ms/step - loss: 4.5525
16/16 [==============================] - 0s 2ms/step - loss: 4.5525
16/16 [==============================] - 0s 2ms/step - loss: 4.5525
16/16 [==============================] - 0s 2ms/step - loss: 4.5525
16/16 [==============================] - 0s 3ms/step - loss: 4.5525
16/16 [==============================] - 0s 3ms/step - loss: 4.5525

Testing for epoch 21 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 3.7609
16/16 [==============================] - 0s 3ms/step - loss: 4.5491
16/16 [==============================] - 0s 1ms/step - loss: 4.5491
16/16 [==============================] - 0s 2ms/step - loss: 4.5491
16/16 [==============================] - 0s 2ms/step - loss: 4.5491
16/16 [==============================] - 0s 2ms/step - loss: 4.5491
16/16 [==============================] - 0s 2ms/step - loss: 4.5491
16/16 [==============================] - 0s 2ms/step - loss: 4.5491
16/16 [==============================] - 0s 3ms/step - loss: 4.5491
16/16 [==============================] - 0s 2ms/step - loss: 4.5491

Testing for epoch 21 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.7921
16/16 [==============================] - 0s 2ms/step - loss: 4.5692
16/16 [==============================] - 0s 5ms/step - loss: 4.5692
16/16 [==============================] - 0s 2ms/step - loss: 4.5692
16/16 [==============================] - 0s 2ms/step - loss: 4.5692
16/16 [==============================] - 0s 4ms/step - loss: 4.5692
16/16 [==============================] - 0s 2ms/step - loss: 4.5692
16/16 [==============================] - 0s 2ms/step - loss: 4.5692
16/16 [==============================] - 0s 2ms/step - loss: 4.5692
16/16 [==============================] - 0s 2ms/step - loss: 4.5692

Testing for epoch 21 index 10:
391/391 [==============================] - 0s 946us/step
16/16 [==============================] - 0s 2ms/step - loss: 3.8343
16/16 [==============================] - 0s 2ms/step - loss: 4.5521
16/16 [==============================] - 0s 1ms/step - loss: 4.5521
16/16 [==============================] - 0s 3ms/step - loss: 4.5521
16/16 [==============================] - 0s 987us/step - loss: 4.5521
16/16 [==============================] - 0s 2ms/step - loss: 4.5521
16/16 [==============================] - 0s 2ms/step - loss: 4.5521
16/16 [==============================] - 0s 4ms/step - loss: 4.5521
16/16 [==============================] - 0s 2ms/step - loss: 4.5521
16/16 [==============================] - 0s 2ms/step - loss: 4.5521

Testing for epoch 21 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 3.8884
16/16 [==============================] - 0s 1ms/step - loss: 4.5690
16/16 [==============================] - 0s 2ms/step - loss: 4.5690
16/16 [==============================] - 0s 3ms/step - loss: 4.5690
16/16 [==============================] - 0s 2ms/step - loss: 4.5690
16/16 [==============================] - 0s 1ms/step - loss: 4.5690
16/16 [==============================] - 0s 2ms/step - loss: 4.5690
16/16 [==============================] - 0s 2ms/step - loss: 4.5690
16/16 [==============================] - 0s 4ms/step - loss: 4.5690
16/16 [==============================] - 0s 2ms/step - loss: 4.5690

Testing for epoch 21 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.9083
16/16 [==============================] - 0s 2ms/step - loss: 4.5588
16/16 [==============================] - 0s 2ms/step - loss: 4.5588
16/16 [==============================] - 0s 4ms/step - loss: 4.5588
16/16 [==============================] - 0s 3ms/step - loss: 4.5588
16/16 [==============================] - 0s 4ms/step - loss: 4.5588
16/16 [==============================] - 0s 3ms/step - loss: 4.5588
16/16 [==============================] - 0s 5ms/step - loss: 4.5588
16/16 [==============================] - 0s 2ms/step - loss: 4.5588
16/16 [==============================] - 0s 3ms/step - loss: 4.5588

Testing for epoch 21 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 3.9411
16/16 [==============================] - 0s 3ms/step - loss: 4.5627
16/16 [==============================] - 0s 3ms/step - loss: 4.5627
16/16 [==============================] - 0s 2ms/step - loss: 4.5627
16/16 [==============================] - 0s 2ms/step - loss: 4.5627
16/16 [==============================] - 0s 2ms/step - loss: 4.5627
16/16 [==============================] - 0s 2ms/step - loss: 4.5627
16/16 [==============================] - 0s 2ms/step - loss: 4.5627
16/16 [==============================] - 0s 2ms/step - loss: 4.5627
16/16 [==============================] - 0s 1ms/step - loss: 4.5627

Testing for epoch 21 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 3.9506
16/16 [==============================] - 0s 1ms/step - loss: 4.5465
16/16 [==============================] - 0s 3ms/step - loss: 4.5465
16/16 [==============================] - 0s 2ms/step - loss: 4.5465
16/16 [==============================] - 0s 2ms/step - loss: 4.5465
16/16 [==============================] - 0s 2ms/step - loss: 4.5465
16/16 [==============================] - 0s 2ms/step - loss: 4.5465
16/16 [==============================] - 0s 4ms/step - loss: 4.5465
16/16 [==============================] - 0s 2ms/step - loss: 4.5465
16/16 [==============================] - 0s 2ms/step - loss: 4.5465

Testing for epoch 21 index 15:
391/391 [==============================] - 0s 920us/step
16/16 [==============================] - 0s 2ms/step - loss: 3.9889
16/16 [==============================] - 0s 2ms/step - loss: 4.5807
16/16 [==============================] - 0s 3ms/step - loss: 4.5807
16/16 [==============================] - 0s 2ms/step - loss: 4.5807
16/16 [==============================] - 0s 2ms/step - loss: 4.5807
16/16 [==============================] - 0s 2ms/step - loss: 4.5807
16/16 [==============================] - 0s 2ms/step - loss: 4.5807
16/16 [==============================] - 0s 3ms/step - loss: 4.5807
16/16 [==============================] - 0s 3ms/step - loss: 4.5807
16/16 [==============================] - 0s 2ms/step - loss: 4.5807

Testing for epoch 21 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.9871
16/16 [==============================] - 0s 2ms/step - loss: 4.5658
16/16 [==============================] - 0s 1ms/step - loss: 4.5658
16/16 [==============================] - 0s 2ms/step - loss: 4.5658
16/16 [==============================] - 0s 1ms/step - loss: 4.5658
16/16 [==============================] - 0s 3ms/step - loss: 4.5658
16/16 [==============================] - 0s 2ms/step - loss: 4.5658
16/16 [==============================] - 0s 2ms/step - loss: 4.5658
16/16 [==============================] - 0s 2ms/step - loss: 4.5658
16/16 [==============================] - 0s 1ms/step - loss: 4.5658

Testing for epoch 21 index 17:
391/391 [==============================] - 0s 943us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.0042
16/16 [==============================] - 0s 2ms/step - loss: 4.5823
16/16 [==============================] - 0s 2ms/step - loss: 4.5823
16/16 [==============================] - 0s 2ms/step - loss: 4.5823
16/16 [==============================] - 0s 952us/step - loss: 4.5823
16/16 [==============================] - 0s 2ms/step - loss: 4.5823
16/16 [==============================] - 0s 2ms/step - loss: 4.5823
16/16 [==============================] - 0s 2ms/step - loss: 4.5823
16/16 [==============================] - 0s 2ms/step - loss: 4.5823
16/16 [==============================] - 0s 2ms/step - loss: 4.5823

Testing for epoch 21 index 18:
391/391 [==============================] - 0s 980us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.0194
16/16 [==============================] - 0s 2ms/step - loss: 4.5967
16/16 [==============================] - 0s 1ms/step - loss: 4.5967
16/16 [==============================] - 0s 2ms/step - loss: 4.5967
16/16 [==============================] - 0s 2ms/step - loss: 4.5967
16/16 [==============================] - 0s 2ms/step - loss: 4.5967
16/16 [==============================] - 0s 2ms/step - loss: 4.5967
16/16 [==============================] - 0s 1ms/step - loss: 4.5967
16/16 [==============================] - 0s 3ms/step - loss: 4.5967
16/16 [==============================] - 0s 3ms/step - loss: 4.5967

Testing for epoch 21 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.0120
16/16 [==============================] - 0s 3ms/step - loss: 4.5848
16/16 [==============================] - 0s 2ms/step - loss: 4.5848
16/16 [==============================] - 0s 2ms/step - loss: 4.5848
16/16 [==============================] - 0s 2ms/step - loss: 4.5848
16/16 [==============================] - 0s 3ms/step - loss: 4.5848
16/16 [==============================] - 0s 2ms/step - loss: 4.5848
16/16 [==============================] - 0s 2ms/step - loss: 4.5848
16/16 [==============================] - 0s 3ms/step - loss: 4.5848
16/16 [==============================] - 0s 2ms/step - loss: 4.5848

Testing for epoch 21 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.0145
16/16 [==============================] - 0s 2ms/step - loss: 4.5881
16/16 [==============================] - 0s 2ms/step - loss: 4.5881
16/16 [==============================] - 0s 2ms/step - loss: 4.5881
16/16 [==============================] - 0s 2ms/step - loss: 4.5881
16/16 [==============================] - 0s 1ms/step - loss: 4.5881
16/16 [==============================] - 0s 2ms/step - loss: 4.5881
16/16 [==============================] - 0s 3ms/step - loss: 4.5881
16/16 [==============================] - 0s 5ms/step - loss: 4.5881
16/16 [==============================] - 0s 1ms/step - loss: 4.5881

Testing for epoch 21 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.0170
16/16 [==============================] - 0s 2ms/step - loss: 4.5961
16/16 [==============================] - 0s 3ms/step - loss: 4.5961
16/16 [==============================] - 0s 2ms/step - loss: 4.5961
16/16 [==============================] - 0s 3ms/step - loss: 4.5961
16/16 [==============================] - 0s 2ms/step - loss: 4.5961
16/16 [==============================] - 0s 2ms/step - loss: 4.5961
16/16 [==============================] - 0s 3ms/step - loss: 4.5961
16/16 [==============================] - 0s 2ms/step - loss: 4.5961
16/16 [==============================] - 0s 2ms/step - loss: 4.5961

Testing for epoch 21 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.0087
16/16 [==============================] - 0s 2ms/step - loss: 4.5956
16/16 [==============================] - 0s 2ms/step - loss: 4.5956
16/16 [==============================] - 0s 3ms/step - loss: 4.5956
16/16 [==============================] - 0s 3ms/step - loss: 4.5956
16/16 [==============================] - 0s 7ms/step - loss: 4.5956
16/16 [==============================] - 0s 2ms/step - loss: 4.5956
16/16 [==============================] - 0s 2ms/step - loss: 4.5956
16/16 [==============================] - 0s 2ms/step - loss: 4.5956
16/16 [==============================] - 0s 2ms/step - loss: 4.5956

Testing for epoch 21 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.0021
16/16 [==============================] - 0s 2ms/step - loss: 4.5975
16/16 [==============================] - 0s 2ms/step - loss: 4.5975
16/16 [==============================] - 0s 2ms/step - loss: 4.5975
16/16 [==============================] - 0s 2ms/step - loss: 4.5975
16/16 [==============================] - 0s 2ms/step - loss: 4.5975
16/16 [==============================] - 0s 4ms/step - loss: 4.5975
16/16 [==============================] - 0s 3ms/step - loss: 4.5975
16/16 [==============================] - 0s 2ms/step - loss: 4.5975
16/16 [==============================] - 0s 3ms/step - loss: 4.5975

Testing for epoch 21 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.9917
16/16 [==============================] - 0s 1ms/step - loss: 4.5979
16/16 [==============================] - 0s 3ms/step - loss: 4.5979
16/16 [==============================] - 0s 2ms/step - loss: 4.5979
16/16 [==============================] - 0s 1ms/step - loss: 4.5979
16/16 [==============================] - 0s 2ms/step - loss: 4.5979
16/16 [==============================] - 0s 2ms/step - loss: 4.5979
16/16 [==============================] - 0s 3ms/step - loss: 4.5979
16/16 [==============================] - 0s 2ms/step - loss: 4.5979
16/16 [==============================] - 0s 1ms/step - loss: 4.5979
Epoch 22 of 60

Testing for epoch 22 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 3.9864
16/16 [==============================] - 0s 2ms/step - loss: 4.6133
16/16 [==============================] - 0s 2ms/step - loss: 4.6133
16/16 [==============================] - 0s 991us/step - loss: 4.6133
16/16 [==============================] - 0s 1ms/step - loss: 4.6133
16/16 [==============================] - 0s 1ms/step - loss: 4.6133
16/16 [==============================] - 0s 913us/step - loss: 4.6133
16/16 [==============================] - 0s 1ms/step - loss: 4.6133
16/16 [==============================] - 0s 1ms/step - loss: 4.6133
16/16 [==============================] - 0s 948us/step - loss: 4.6133

Testing for epoch 22 index 2:
391/391 [==============================] - 0s 604us/step
16/16 [==============================] - 0s 866us/step - loss: 3.9743
16/16 [==============================] - 0s 4ms/step - loss: 4.6104
16/16 [==============================] - 0s 1ms/step - loss: 4.6104
16/16 [==============================] - 0s 903us/step - loss: 4.6104
16/16 [==============================] - 0s 890us/step - loss: 4.6104
16/16 [==============================] - 0s 4ms/step - loss: 4.6104
16/16 [==============================] - 0s 946us/step - loss: 4.6104
16/16 [==============================] - 0s 916us/step - loss: 4.6104
16/16 [==============================] - 0s 898us/step - loss: 4.6104
16/16 [==============================] - 0s 913us/step - loss: 4.6104

Testing for epoch 22 index 3:
391/391 [==============================] - 0s 649us/step
16/16 [==============================] - 0s 954us/step - loss: 3.9594
16/16 [==============================] - 0s 956us/step - loss: 4.6113
16/16 [==============================] - 0s 869us/step - loss: 4.6113
16/16 [==============================] - 0s 870us/step - loss: 4.6113
16/16 [==============================] - 0s 860us/step - loss: 4.6113
16/16 [==============================] - 0s 868us/step - loss: 4.6113
16/16 [==============================] - 0s 861us/step - loss: 4.6113
16/16 [==============================] - 0s 871us/step - loss: 4.6113
16/16 [==============================] - 0s 875us/step - loss: 4.6113
16/16 [==============================] - 0s 913us/step - loss: 4.6113

Testing for epoch 22 index 4:
391/391 [==============================] - 0s 637us/step
16/16 [==============================] - 0s 884us/step - loss: 3.9374
16/16 [==============================] - 0s 951us/step - loss: 4.6065
16/16 [==============================] - 0s 904us/step - loss: 4.6065
16/16 [==============================] - 0s 895us/step - loss: 4.6065
16/16 [==============================] - 0s 867us/step - loss: 4.6065
16/16 [==============================] - 0s 945us/step - loss: 4.6065
16/16 [==============================] - 0s 942us/step - loss: 4.6065
16/16 [==============================] - 0s 886us/step - loss: 4.6065
16/16 [==============================] - 0s 873us/step - loss: 4.6065
16/16 [==============================] - 0s 947us/step - loss: 4.6065

Testing for epoch 22 index 5:
391/391 [==============================] - 0s 674us/step
16/16 [==============================] - 0s 895us/step - loss: 3.9251
16/16 [==============================] - 0s 909us/step - loss: 4.6175
16/16 [==============================] - 0s 935us/step - loss: 4.6175
16/16 [==============================] - 0s 876us/step - loss: 4.6175
16/16 [==============================] - 0s 855us/step - loss: 4.6175
16/16 [==============================] - 0s 934us/step - loss: 4.6175
16/16 [==============================] - 0s 834us/step - loss: 4.6175
16/16 [==============================] - 0s 822us/step - loss: 4.6175
16/16 [==============================] - 0s 830us/step - loss: 4.6175
16/16 [==============================] - 0s 860us/step - loss: 4.6175

Testing for epoch 22 index 6:
391/391 [==============================] - 0s 623us/step
16/16 [==============================] - 0s 906us/step - loss: 3.9160
16/16 [==============================] - 0s 897us/step - loss: 4.6298
16/16 [==============================] - 0s 894us/step - loss: 4.6298
16/16 [==============================] - 0s 924us/step - loss: 4.6298
16/16 [==============================] - 0s 980us/step - loss: 4.6298
16/16 [==============================] - 0s 942us/step - loss: 4.6298
16/16 [==============================] - 0s 932us/step - loss: 4.6298
16/16 [==============================] - 0s 943us/step - loss: 4.6298
16/16 [==============================] - 0s 978us/step - loss: 4.6298
16/16 [==============================] - 0s 907us/step - loss: 4.6298

Testing for epoch 22 index 7:
391/391 [==============================] - 0s 598us/step
16/16 [==============================] - 0s 858us/step - loss: 3.9022
16/16 [==============================] - 0s 873us/step - loss: 4.6477
16/16 [==============================] - 0s 877us/step - loss: 4.6477
16/16 [==============================] - 0s 844us/step - loss: 4.6477
16/16 [==============================] - 0s 844us/step - loss: 4.6477
16/16 [==============================] - 0s 836us/step - loss: 4.6477
16/16 [==============================] - 0s 851us/step - loss: 4.6477
16/16 [==============================] - 0s 849us/step - loss: 4.6477
16/16 [==============================] - 0s 820us/step - loss: 4.6477
16/16 [==============================] - 0s 850us/step - loss: 4.6477

Testing for epoch 22 index 8:
391/391 [==============================] - 0s 617us/step
16/16 [==============================] - 0s 859us/step - loss: 3.8727
16/16 [==============================] - 0s 878us/step - loss: 4.6400
16/16 [==============================] - 0s 885us/step - loss: 4.6400
16/16 [==============================] - 0s 878us/step - loss: 4.6400
16/16 [==============================] - 0s 888us/step - loss: 4.6400
16/16 [==============================] - 0s 893us/step - loss: 4.6400
16/16 [==============================] - 0s 893us/step - loss: 4.6400
16/16 [==============================] - 0s 860us/step - loss: 4.6400
16/16 [==============================] - 0s 897us/step - loss: 4.6400
16/16 [==============================] - 0s 884us/step - loss: 4.6400

Testing for epoch 22 index 9:
391/391 [==============================] - 0s 610us/step
16/16 [==============================] - 0s 910us/step - loss: 3.8941
16/16 [==============================] - 0s 904us/step - loss: 4.6441
16/16 [==============================] - 0s 1ms/step - loss: 4.6441
16/16 [==============================] - 0s 923us/step - loss: 4.6441
16/16 [==============================] - 0s 934us/step - loss: 4.6441
16/16 [==============================] - 0s 928us/step - loss: 4.6441
16/16 [==============================] - 0s 878us/step - loss: 4.6441
16/16 [==============================] - 0s 895us/step - loss: 4.6441
16/16 [==============================] - 0s 889us/step - loss: 4.6441
16/16 [==============================] - 0s 856us/step - loss: 4.6441

Testing for epoch 22 index 10:
391/391 [==============================] - 0s 624us/step
16/16 [==============================] - 0s 848us/step - loss: 3.9290
16/16 [==============================] - 0s 839us/step - loss: 4.6236
16/16 [==============================] - 0s 850us/step - loss: 4.6236
16/16 [==============================] - 0s 865us/step - loss: 4.6236
16/16 [==============================] - 0s 883us/step - loss: 4.6236
16/16 [==============================] - 0s 872us/step - loss: 4.6236
16/16 [==============================] - 0s 923us/step - loss: 4.6236
16/16 [==============================] - 0s 928us/step - loss: 4.6236
16/16 [==============================] - 0s 935us/step - loss: 4.6236
16/16 [==============================] - 0s 959us/step - loss: 4.6236

Testing for epoch 22 index 11:
391/391 [==============================] - 0s 727us/step
16/16 [==============================] - 0s 926us/step - loss: 3.9756
16/16 [==============================] - 0s 930us/step - loss: 4.6337
16/16 [==============================] - 0s 1ms/step - loss: 4.6337
16/16 [==============================] - 0s 843us/step - loss: 4.6337
16/16 [==============================] - 0s 842us/step - loss: 4.6337
16/16 [==============================] - 0s 1ms/step - loss: 4.6337
16/16 [==============================] - 0s 1ms/step - loss: 4.6337
16/16 [==============================] - 0s 863us/step - loss: 4.6337
16/16 [==============================] - 0s 890us/step - loss: 4.6337
16/16 [==============================] - 0s 878us/step - loss: 4.6337

Testing for epoch 22 index 12:
391/391 [==============================] - 0s 603us/step
16/16 [==============================] - 0s 851us/step - loss: 4.0063
16/16 [==============================] - 0s 827us/step - loss: 4.6377
16/16 [==============================] - 0s 836us/step - loss: 4.6377
16/16 [==============================] - 0s 832us/step - loss: 4.6377
16/16 [==============================] - 0s 877us/step - loss: 4.6377
16/16 [==============================] - 0s 843us/step - loss: 4.6377
16/16 [==============================] - 0s 835us/step - loss: 4.6377
16/16 [==============================] - 0s 842us/step - loss: 4.6377
16/16 [==============================] - 0s 834us/step - loss: 4.6377
16/16 [==============================] - 0s 827us/step - loss: 4.6377

Testing for epoch 22 index 13:
391/391 [==============================] - 0s 636us/step
16/16 [==============================] - 0s 885us/step - loss: 4.0234
16/16 [==============================] - 0s 863us/step - loss: 4.6286
16/16 [==============================] - 0s 842us/step - loss: 4.6286
16/16 [==============================] - 0s 862us/step - loss: 4.6286
16/16 [==============================] - 0s 839us/step - loss: 4.6286
16/16 [==============================] - 0s 842us/step - loss: 4.6286
16/16 [==============================] - 0s 834us/step - loss: 4.6286
16/16 [==============================] - 0s 855us/step - loss: 4.6286
16/16 [==============================] - 0s 870us/step - loss: 4.6286
16/16 [==============================] - 0s 844us/step - loss: 4.6286

Testing for epoch 22 index 14:
391/391 [==============================] - 0s 594us/step
16/16 [==============================] - 0s 860us/step - loss: 4.0473
16/16 [==============================] - 0s 848us/step - loss: 4.6370
16/16 [==============================] - 0s 854us/step - loss: 4.6370
16/16 [==============================] - 0s 843us/step - loss: 4.6370
16/16 [==============================] - 0s 885us/step - loss: 4.6370
16/16 [==============================] - 0s 848us/step - loss: 4.6370
16/16 [==============================] - 0s 843us/step - loss: 4.6370
16/16 [==============================] - 0s 866us/step - loss: 4.6370
16/16 [==============================] - 0s 870us/step - loss: 4.6370
16/16 [==============================] - 0s 876us/step - loss: 4.6370

Testing for epoch 22 index 15:
391/391 [==============================] - 0s 586us/step
16/16 [==============================] - 0s 807us/step - loss: 4.0769
16/16 [==============================] - 0s 797us/step - loss: 4.6542
16/16 [==============================] - 0s 807us/step - loss: 4.6542
16/16 [==============================] - 0s 853us/step - loss: 4.6542
16/16 [==============================] - 0s 813us/step - loss: 4.6542
16/16 [==============================] - 0s 884us/step - loss: 4.6542
16/16 [==============================] - 0s 865us/step - loss: 4.6542
16/16 [==============================] - 0s 828us/step - loss: 4.6542
16/16 [==============================] - 0s 813us/step - loss: 4.6542
16/16 [==============================] - 0s 803us/step - loss: 4.6542

Testing for epoch 22 index 16:
391/391 [==============================] - 0s 601us/step
16/16 [==============================] - 0s 810us/step - loss: 4.0675
16/16 [==============================] - 0s 786us/step - loss: 4.6325
16/16 [==============================] - 0s 789us/step - loss: 4.6325
16/16 [==============================] - 0s 815us/step - loss: 4.6325
16/16 [==============================] - 0s 815us/step - loss: 4.6325
16/16 [==============================] - 0s 854us/step - loss: 4.6325
16/16 [==============================] - 0s 859us/step - loss: 4.6325
16/16 [==============================] - 0s 903us/step - loss: 4.6325
16/16 [==============================] - 0s 866us/step - loss: 4.6325
16/16 [==============================] - 0s 853us/step - loss: 4.6325

Testing for epoch 22 index 17:
391/391 [==============================] - 0s 614us/step
16/16 [==============================] - 0s 863us/step - loss: 4.0949
16/16 [==============================] - 0s 915us/step - loss: 4.6601
16/16 [==============================] - 0s 913us/step - loss: 4.6601
16/16 [==============================] - 0s 906us/step - loss: 4.6601
16/16 [==============================] - 0s 903us/step - loss: 4.6601
16/16 [==============================] - 0s 924us/step - loss: 4.6601
16/16 [==============================] - 0s 920us/step - loss: 4.6601
16/16 [==============================] - 0s 899us/step - loss: 4.6601
16/16 [==============================] - 0s 921us/step - loss: 4.6601
16/16 [==============================] - 0s 911us/step - loss: 4.6601

Testing for epoch 22 index 18:
391/391 [==============================] - 0s 666us/step
16/16 [==============================] - 0s 900us/step - loss: 4.1011
16/16 [==============================] - 0s 869us/step - loss: 4.6622
16/16 [==============================] - 0s 891us/step - loss: 4.6622
16/16 [==============================] - 0s 893us/step - loss: 4.6622
16/16 [==============================] - 0s 902us/step - loss: 4.6622
16/16 [==============================] - 0s 894us/step - loss: 4.6622
16/16 [==============================] - 0s 918us/step - loss: 4.6622
16/16 [==============================] - 0s 815us/step - loss: 4.6622
16/16 [==============================] - 0s 824us/step - loss: 4.6622
16/16 [==============================] - 0s 790us/step - loss: 4.6622

Testing for epoch 22 index 19:
391/391 [==============================] - 0s 594us/step
16/16 [==============================] - 0s 900us/step - loss: 4.0856
16/16 [==============================] - 0s 841us/step - loss: 4.6418
16/16 [==============================] - 0s 1ms/step - loss: 4.6418
16/16 [==============================] - 0s 1ms/step - loss: 4.6418
16/16 [==============================] - 0s 807us/step - loss: 4.6418
16/16 [==============================] - 0s 1ms/step - loss: 4.6418
16/16 [==============================] - 0s 1ms/step - loss: 4.6418
16/16 [==============================] - 0s 901us/step - loss: 4.6418
16/16 [==============================] - 0s 865us/step - loss: 4.6418
16/16 [==============================] - 0s 925us/step - loss: 4.6418

Testing for epoch 22 index 20:
391/391 [==============================] - 0s 591us/step
16/16 [==============================] - 0s 837us/step - loss: 4.1119
16/16 [==============================] - 0s 1ms/step - loss: 4.6802
16/16 [==============================] - 0s 1ms/step - loss: 4.6802
16/16 [==============================] - 0s 1ms/step - loss: 4.6802
16/16 [==============================] - 0s 1ms/step - loss: 4.6802
16/16 [==============================] - 0s 1ms/step - loss: 4.6802
16/16 [==============================] - 0s 937us/step - loss: 4.6802
16/16 [==============================] - 0s 965us/step - loss: 4.6802
16/16 [==============================] - 0s 928us/step - loss: 4.6802
16/16 [==============================] - 0s 989us/step - loss: 4.6802

Testing for epoch 22 index 21:
391/391 [==============================] - 0s 597us/step
16/16 [==============================] - 0s 847us/step - loss: 4.1039
16/16 [==============================] - 0s 927us/step - loss: 4.6711
16/16 [==============================] - 0s 906us/step - loss: 4.6711
16/16 [==============================] - 0s 882us/step - loss: 4.6711
16/16 [==============================] - 0s 868us/step - loss: 4.6711
16/16 [==============================] - 0s 872us/step - loss: 4.6711
16/16 [==============================] - 0s 889us/step - loss: 4.6711
16/16 [==============================] - 0s 874us/step - loss: 4.6711
16/16 [==============================] - 0s 873us/step - loss: 4.6711
16/16 [==============================] - 0s 870us/step - loss: 4.6711

Testing for epoch 22 index 22:
391/391 [==============================] - 0s 592us/step
16/16 [==============================] - 0s 893us/step - loss: 4.0999
16/16 [==============================] - 0s 836us/step - loss: 4.6744
16/16 [==============================] - 0s 823us/step - loss: 4.6744
16/16 [==============================] - 0s 834us/step - loss: 4.6744
16/16 [==============================] - 0s 841us/step - loss: 4.6744
16/16 [==============================] - 0s 851us/step - loss: 4.6744
16/16 [==============================] - 0s 886us/step - loss: 4.6744
16/16 [==============================] - 0s 850us/step - loss: 4.6744
16/16 [==============================] - 0s 832us/step - loss: 4.6744
16/16 [==============================] - 0s 844us/step - loss: 4.6744

Testing for epoch 22 index 23:
391/391 [==============================] - 0s 584us/step
16/16 [==============================] - 0s 843us/step - loss: 4.0773
16/16 [==============================] - 0s 824us/step - loss: 4.6501
16/16 [==============================] - 0s 838us/step - loss: 4.6501
16/16 [==============================] - 0s 843us/step - loss: 4.6501
16/16 [==============================] - 0s 832us/step - loss: 4.6501
16/16 [==============================] - 0s 857us/step - loss: 4.6501
16/16 [==============================] - 0s 919us/step - loss: 4.6501
16/16 [==============================] - 0s 846us/step - loss: 4.6501
16/16 [==============================] - 0s 846us/step - loss: 4.6501
16/16 [==============================] - 0s 897us/step - loss: 4.6501

Testing for epoch 22 index 24:
391/391 [==============================] - 0s 614us/step
16/16 [==============================] - 0s 841us/step - loss: 4.0849
16/16 [==============================] - 0s 1ms/step - loss: 4.6789
16/16 [==============================] - 0s 854us/step - loss: 4.6789
16/16 [==============================] - 0s 872us/step - loss: 4.6789
16/16 [==============================] - 0s 825us/step - loss: 4.6789
16/16 [==============================] - 0s 853us/step - loss: 4.6789
16/16 [==============================] - 0s 849us/step - loss: 4.6789
16/16 [==============================] - 0s 826us/step - loss: 4.6789
16/16 [==============================] - 0s 839us/step - loss: 4.6789
16/16 [==============================] - 0s 1ms/step - loss: 4.6789
Epoch 23 of 60

Testing for epoch 23 index 1:
391/391 [==============================] - 0s 868us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.0855
16/16 [==============================] - 0s 1ms/step - loss: 4.6964
16/16 [==============================] - 0s 1ms/step - loss: 4.6964
16/16 [==============================] - 0s 1ms/step - loss: 4.6964
16/16 [==============================] - 0s 1ms/step - loss: 4.6964
16/16 [==============================] - 0s 1ms/step - loss: 4.6964
16/16 [==============================] - 0s 1ms/step - loss: 4.6964
16/16 [==============================] - 0s 863us/step - loss: 4.6964
16/16 [==============================] - 0s 1ms/step - loss: 4.6964
16/16 [==============================] - 0s 1ms/step - loss: 4.6964

Testing for epoch 23 index 2:
391/391 [==============================] - 0s 800us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.0649
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865
16/16 [==============================] - 0s 1ms/step - loss: 4.6865

Testing for epoch 23 index 3:
391/391 [==============================] - 0s 606us/step
16/16 [==============================] - 0s 851us/step - loss: 4.0597
16/16 [==============================] - 0s 845us/step - loss: 4.6986
16/16 [==============================] - 0s 934us/step - loss: 4.6986
16/16 [==============================] - 0s 888us/step - loss: 4.6986
16/16 [==============================] - 0s 856us/step - loss: 4.6986
16/16 [==============================] - 0s 854us/step - loss: 4.6986
16/16 [==============================] - 0s 852us/step - loss: 4.6986
16/16 [==============================] - 0s 888us/step - loss: 4.6986
16/16 [==============================] - 0s 873us/step - loss: 4.6986
16/16 [==============================] - 0s 866us/step - loss: 4.6986

Testing for epoch 23 index 4:
391/391 [==============================] - 0s 611us/step
16/16 [==============================] - 0s 901us/step - loss: 4.0402
16/16 [==============================] - 0s 824us/step - loss: 4.6935
16/16 [==============================] - 0s 826us/step - loss: 4.6935
16/16 [==============================] - 0s 825us/step - loss: 4.6935
16/16 [==============================] - 0s 823us/step - loss: 4.6935
16/16 [==============================] - 0s 844us/step - loss: 4.6935
16/16 [==============================] - 0s 824us/step - loss: 4.6935
16/16 [==============================] - 0s 853us/step - loss: 4.6935
16/16 [==============================] - 0s 837us/step - loss: 4.6935
16/16 [==============================] - 0s 835us/step - loss: 4.6935

Testing for epoch 23 index 5:
391/391 [==============================] - 0s 582us/step
16/16 [==============================] - 0s 807us/step - loss: 4.0213
16/16 [==============================] - 0s 785us/step - loss: 4.6907
16/16 [==============================] - 0s 819us/step - loss: 4.6907
16/16 [==============================] - 0s 817us/step - loss: 4.6907
16/16 [==============================] - 0s 843us/step - loss: 4.6907
16/16 [==============================] - 0s 808us/step - loss: 4.6907
16/16 [==============================] - 0s 803us/step - loss: 4.6907
16/16 [==============================] - 0s 800us/step - loss: 4.6907
16/16 [==============================] - 0s 794us/step - loss: 4.6907
16/16 [==============================] - 0s 805us/step - loss: 4.6907

Testing for epoch 23 index 6:
391/391 [==============================] - 0s 582us/step
16/16 [==============================] - 0s 835us/step - loss: 4.0167
16/16 [==============================] - 0s 818us/step - loss: 4.7105
16/16 [==============================] - 0s 809us/step - loss: 4.7105
16/16 [==============================] - 0s 845us/step - loss: 4.7105
16/16 [==============================] - 0s 827us/step - loss: 4.7105
16/16 [==============================] - 0s 818us/step - loss: 4.7105
16/16 [==============================] - 0s 812us/step - loss: 4.7105
16/16 [==============================] - 0s 872us/step - loss: 4.7105
16/16 [==============================] - 0s 856us/step - loss: 4.7105
16/16 [==============================] - 0s 850us/step - loss: 4.7105

Testing for epoch 23 index 7:
391/391 [==============================] - 0s 579us/step
16/16 [==============================] - 0s 835us/step - loss: 3.9971
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 1ms/step - loss: 4.7089
16/16 [==============================] - 0s 862us/step - loss: 4.7089

Testing for epoch 23 index 8:
391/391 [==============================] - 0s 600us/step
16/16 [==============================] - 0s 835us/step - loss: 3.9912
16/16 [==============================] - 0s 881us/step - loss: 4.7306
16/16 [==============================] - 0s 827us/step - loss: 4.7306
16/16 [==============================] - 0s 856us/step - loss: 4.7306
16/16 [==============================] - 0s 855us/step - loss: 4.7306
16/16 [==============================] - 0s 841us/step - loss: 4.7306
16/16 [==============================] - 0s 823us/step - loss: 4.7306
16/16 [==============================] - 0s 831us/step - loss: 4.7306
16/16 [==============================] - 0s 818us/step - loss: 4.7306
16/16 [==============================] - 0s 841us/step - loss: 4.7306

Testing for epoch 23 index 9:
391/391 [==============================] - 0s 587us/step
16/16 [==============================] - 0s 826us/step - loss: 4.0008
16/16 [==============================] - 0s 814us/step - loss: 4.7210
16/16 [==============================] - 0s 806us/step - loss: 4.7210
16/16 [==============================] - 0s 808us/step - loss: 4.7210
16/16 [==============================] - 0s 834us/step - loss: 4.7210
16/16 [==============================] - 0s 827us/step - loss: 4.7210
16/16 [==============================] - 0s 828us/step - loss: 4.7210
16/16 [==============================] - 0s 836us/step - loss: 4.7210
16/16 [==============================] - 0s 807us/step - loss: 4.7210
16/16 [==============================] - 0s 854us/step - loss: 4.7210

Testing for epoch 23 index 10:
391/391 [==============================] - 0s 586us/step
16/16 [==============================] - 0s 873us/step - loss: 4.0310
16/16 [==============================] - 0s 855us/step - loss: 4.7102
16/16 [==============================] - 0s 936us/step - loss: 4.7102
16/16 [==============================] - 0s 939us/step - loss: 4.7102
16/16 [==============================] - 0s 964us/step - loss: 4.7102
16/16 [==============================] - 0s 973us/step - loss: 4.7102
16/16 [==============================] - 0s 853us/step - loss: 4.7102
16/16 [==============================] - 0s 852us/step - loss: 4.7102
16/16 [==============================] - 0s 1ms/step - loss: 4.7102
16/16 [==============================] - 0s 856us/step - loss: 4.7102

Testing for epoch 23 index 11:
391/391 [==============================] - 0s 610us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.0837
16/16 [==============================] - 0s 1ms/step - loss: 4.7279
16/16 [==============================] - 0s 1ms/step - loss: 4.7279
16/16 [==============================] - 0s 1ms/step - loss: 4.7279
16/16 [==============================] - 0s 1ms/step - loss: 4.7279
16/16 [==============================] - 0s 1ms/step - loss: 4.7279
16/16 [==============================] - 0s 1ms/step - loss: 4.7279
16/16 [==============================] - 0s 857us/step - loss: 4.7279
16/16 [==============================] - 0s 899us/step - loss: 4.7279
16/16 [==============================] - 0s 901us/step - loss: 4.7279

Testing for epoch 23 index 12:
391/391 [==============================] - 0s 811us/step
16/16 [==============================] - 0s 879us/step - loss: 4.1013
16/16 [==============================] - 0s 794us/step - loss: 4.7159
16/16 [==============================] - 0s 795us/step - loss: 4.7159
16/16 [==============================] - 0s 801us/step - loss: 4.7159
16/16 [==============================] - 0s 820us/step - loss: 4.7159
16/16 [==============================] - 0s 815us/step - loss: 4.7159
16/16 [==============================] - 0s 1ms/step - loss: 4.7159
16/16 [==============================] - 0s 1ms/step - loss: 4.7159
16/16 [==============================] - 0s 800us/step - loss: 4.7159
16/16 [==============================] - 0s 825us/step - loss: 4.7159

Testing for epoch 23 index 13:
391/391 [==============================] - 0s 688us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.1128
16/16 [==============================] - 0s 1ms/step - loss: 4.7032
16/16 [==============================] - 0s 843us/step - loss: 4.7032
16/16 [==============================] - 0s 1ms/step - loss: 4.7032
16/16 [==============================] - 0s 849us/step - loss: 4.7032
16/16 [==============================] - 0s 814us/step - loss: 4.7032
16/16 [==============================] - 0s 1ms/step - loss: 4.7032
16/16 [==============================] - 0s 1ms/step - loss: 4.7032
16/16 [==============================] - 0s 1ms/step - loss: 4.7032
16/16 [==============================] - 0s 841us/step - loss: 4.7032

Testing for epoch 23 index 14:
391/391 [==============================] - 0s 579us/step
16/16 [==============================] - 0s 852us/step - loss: 4.1387
16/16 [==============================] - 0s 835us/step - loss: 4.7192
16/16 [==============================] - 0s 962us/step - loss: 4.7192
16/16 [==============================] - 0s 822us/step - loss: 4.7192
16/16 [==============================] - 0s 850us/step - loss: 4.7192
16/16 [==============================] - 0s 849us/step - loss: 4.7192
16/16 [==============================] - 0s 931us/step - loss: 4.7192
16/16 [==============================] - 0s 861us/step - loss: 4.7192
16/16 [==============================] - 0s 852us/step - loss: 4.7192
16/16 [==============================] - 0s 841us/step - loss: 4.7192

Testing for epoch 23 index 15:
391/391 [==============================] - 0s 624us/step
16/16 [==============================] - 0s 840us/step - loss: 4.1554
16/16 [==============================] - 0s 876us/step - loss: 4.7242
16/16 [==============================] - 0s 869us/step - loss: 4.7242
16/16 [==============================] - 0s 867us/step - loss: 4.7242
16/16 [==============================] - 0s 876us/step - loss: 4.7242
16/16 [==============================] - 0s 877us/step - loss: 4.7242
16/16 [==============================] - 0s 888us/step - loss: 4.7242
16/16 [==============================] - 0s 883us/step - loss: 4.7242
16/16 [==============================] - 0s 826us/step - loss: 4.7242
16/16 [==============================] - 0s 812us/step - loss: 4.7242

Testing for epoch 23 index 16:
391/391 [==============================] - 0s 603us/step
16/16 [==============================] - 0s 863us/step - loss: 4.1739
16/16 [==============================] - 0s 802us/step - loss: 4.7306
16/16 [==============================] - 0s 797us/step - loss: 4.7306
16/16 [==============================] - 0s 817us/step - loss: 4.7306
16/16 [==============================] - 0s 865us/step - loss: 4.7306
16/16 [==============================] - 0s 877us/step - loss: 4.7306
16/16 [==============================] - 0s 821us/step - loss: 4.7306
16/16 [==============================] - 0s 867us/step - loss: 4.7306
16/16 [==============================] - 0s 838us/step - loss: 4.7306
16/16 [==============================] - 0s 854us/step - loss: 4.7306

Testing for epoch 23 index 17:
391/391 [==============================] - 0s 600us/step
16/16 [==============================] - 0s 920us/step - loss: 4.2010
16/16 [==============================] - 0s 904us/step - loss: 4.7641
16/16 [==============================] - 0s 910us/step - loss: 4.7641
16/16 [==============================] - 0s 910us/step - loss: 4.7641
16/16 [==============================] - 0s 898us/step - loss: 4.7641
16/16 [==============================] - 0s 898us/step - loss: 4.7641
16/16 [==============================] - 0s 935us/step - loss: 4.7641
16/16 [==============================] - 0s 852us/step - loss: 4.7641
16/16 [==============================] - 0s 902us/step - loss: 4.7641
16/16 [==============================] - 0s 828us/step - loss: 4.7641

Testing for epoch 23 index 18:
391/391 [==============================] - 0s 585us/step
16/16 [==============================] - 0s 838us/step - loss: 4.1704
16/16 [==============================] - 0s 871us/step - loss: 4.7144
16/16 [==============================] - 0s 955us/step - loss: 4.7144
16/16 [==============================] - 0s 806us/step - loss: 4.7144
16/16 [==============================] - 0s 818us/step - loss: 4.7144
16/16 [==============================] - 0s 795us/step - loss: 4.7144
16/16 [==============================] - 0s 814us/step - loss: 4.7144
16/16 [==============================] - 0s 794us/step - loss: 4.7144
16/16 [==============================] - 0s 814us/step - loss: 4.7144
16/16 [==============================] - 0s 824us/step - loss: 4.7144

Testing for epoch 23 index 19:
391/391 [==============================] - 0s 629us/step
16/16 [==============================] - 0s 879us/step - loss: 4.1958
16/16 [==============================] - 0s 867us/step - loss: 4.7505
16/16 [==============================] - 0s 875us/step - loss: 4.7505
16/16 [==============================] - 0s 798us/step - loss: 4.7505
16/16 [==============================] - 0s 796us/step - loss: 4.7505
16/16 [==============================] - 0s 801us/step - loss: 4.7505
16/16 [==============================] - 0s 827us/step - loss: 4.7505
16/16 [==============================] - 0s 820us/step - loss: 4.7505
16/16 [==============================] - 0s 832us/step - loss: 4.7505
16/16 [==============================] - 0s 870us/step - loss: 4.7505

Testing for epoch 23 index 20:
391/391 [==============================] - 0s 580us/step
16/16 [==============================] - 0s 849us/step - loss: 4.1831
16/16 [==============================] - 0s 835us/step - loss: 4.7321
16/16 [==============================] - 0s 829us/step - loss: 4.7321
16/16 [==============================] - 0s 851us/step - loss: 4.7321
16/16 [==============================] - 0s 848us/step - loss: 4.7321
16/16 [==============================] - 0s 828us/step - loss: 4.7321
16/16 [==============================] - 0s 820us/step - loss: 4.7321
16/16 [==============================] - 0s 882us/step - loss: 4.7321
16/16 [==============================] - 0s 865us/step - loss: 4.7321
16/16 [==============================] - 0s 834us/step - loss: 4.7321

Testing for epoch 23 index 21:
391/391 [==============================] - 0s 600us/step
16/16 [==============================] - 0s 844us/step - loss: 4.1715
16/16 [==============================] - 0s 848us/step - loss: 4.7244
16/16 [==============================] - 0s 875us/step - loss: 4.7244
16/16 [==============================] - 0s 873us/step - loss: 4.7244
16/16 [==============================] - 0s 868us/step - loss: 4.7244
16/16 [==============================] - 0s 872us/step - loss: 4.7244
16/16 [==============================] - 0s 875us/step - loss: 4.7244
16/16 [==============================] - 0s 874us/step - loss: 4.7244
16/16 [==============================] - 0s 870us/step - loss: 4.7244
16/16 [==============================] - 0s 878us/step - loss: 4.7244

Testing for epoch 23 index 22:
391/391 [==============================] - 0s 583us/step
16/16 [==============================] - 0s 813us/step - loss: 4.1873
16/16 [==============================] - 0s 788us/step - loss: 4.7516
16/16 [==============================] - 0s 788us/step - loss: 4.7516
16/16 [==============================] - 0s 796us/step - loss: 4.7516
16/16 [==============================] - 0s 802us/step - loss: 4.7516
16/16 [==============================] - 0s 798us/step - loss: 4.7516
16/16 [==============================] - 0s 799us/step - loss: 4.7516
16/16 [==============================] - 0s 833us/step - loss: 4.7516
16/16 [==============================] - 0s 796us/step - loss: 4.7516
16/16 [==============================] - 0s 797us/step - loss: 4.7516

Testing for epoch 23 index 23:
391/391 [==============================] - 0s 588us/step
16/16 [==============================] - 0s 810us/step - loss: 4.1860
16/16 [==============================] - 0s 820us/step - loss: 4.7598
16/16 [==============================] - 0s 836us/step - loss: 4.7598
16/16 [==============================] - 0s 804us/step - loss: 4.7598
16/16 [==============================] - 0s 817us/step - loss: 4.7598
16/16 [==============================] - 0s 807us/step - loss: 4.7598
16/16 [==============================] - 0s 797us/step - loss: 4.7598
16/16 [==============================] - 0s 821us/step - loss: 4.7598
16/16 [==============================] - 0s 812us/step - loss: 4.7598
16/16 [==============================] - 0s 812us/step - loss: 4.7598

Testing for epoch 23 index 24:
391/391 [==============================] - 0s 593us/step
16/16 [==============================] - 0s 861us/step - loss: 4.1805
16/16 [==============================] - 0s 866us/step - loss: 4.7588
16/16 [==============================] - 0s 852us/step - loss: 4.7588
16/16 [==============================] - 0s 838us/step - loss: 4.7588
16/16 [==============================] - 0s 849us/step - loss: 4.7588
16/16 [==============================] - 0s 875us/step - loss: 4.7588
16/16 [==============================] - 0s 899us/step - loss: 4.7588
16/16 [==============================] - 0s 832us/step - loss: 4.7588
16/16 [==============================] - 0s 853us/step - loss: 4.7588
16/16 [==============================] - 0s 857us/step - loss: 4.7588
Epoch 24 of 60

Testing for epoch 24 index 1:
391/391 [==============================] - 0s 593us/step
16/16 [==============================] - 0s 851us/step - loss: 4.1496
16/16 [==============================] - 0s 836us/step - loss: 4.7367
16/16 [==============================] - 0s 858us/step - loss: 4.7367
16/16 [==============================] - 0s 830us/step - loss: 4.7367
16/16 [==============================] - 0s 889us/step - loss: 4.7367
16/16 [==============================] - 0s 891us/step - loss: 4.7367
16/16 [==============================] - 0s 868us/step - loss: 4.7367
16/16 [==============================] - 0s 866us/step - loss: 4.7367
16/16 [==============================] - 0s 819us/step - loss: 4.7367
16/16 [==============================] - 0s 814us/step - loss: 4.7367

Testing for epoch 24 index 2:
391/391 [==============================] - 0s 581us/step
16/16 [==============================] - 0s 814us/step - loss: 4.1577
16/16 [==============================] - 0s 807us/step - loss: 4.7625
16/16 [==============================] - 0s 787us/step - loss: 4.7625
16/16 [==============================] - 0s 812us/step - loss: 4.7625
16/16 [==============================] - 0s 800us/step - loss: 4.7625
16/16 [==============================] - 0s 807us/step - loss: 4.7625
16/16 [==============================] - 0s 816us/step - loss: 4.7625
16/16 [==============================] - 0s 801us/step - loss: 4.7625
16/16 [==============================] - 0s 799us/step - loss: 4.7625
16/16 [==============================] - 0s 826us/step - loss: 4.7625

Testing for epoch 24 index 3:
391/391 [==============================] - 0s 604us/step
16/16 [==============================] - 0s 845us/step - loss: 4.1420
16/16 [==============================] - 0s 834us/step - loss: 4.7573
16/16 [==============================] - 0s 805us/step - loss: 4.7573
16/16 [==============================] - 0s 851us/step - loss: 4.7573
16/16 [==============================] - 0s 853us/step - loss: 4.7573
16/16 [==============================] - 0s 835us/step - loss: 4.7573
16/16 [==============================] - 0s 853us/step - loss: 4.7573
16/16 [==============================] - 0s 846us/step - loss: 4.7573
16/16 [==============================] - 0s 840us/step - loss: 4.7573
16/16 [==============================] - 0s 847us/step - loss: 4.7573

Testing for epoch 24 index 4:
391/391 [==============================] - 0s 626us/step
16/16 [==============================] - 0s 895us/step - loss: 4.1065
16/16 [==============================] - 0s 834us/step - loss: 4.7274
16/16 [==============================] - 0s 827us/step - loss: 4.7274
16/16 [==============================] - 0s 862us/step - loss: 4.7274
16/16 [==============================] - 0s 876us/step - loss: 4.7274
16/16 [==============================] - 0s 851us/step - loss: 4.7274
16/16 [==============================] - 0s 844us/step - loss: 4.7274
16/16 [==============================] - 0s 917us/step - loss: 4.7274
16/16 [==============================] - 0s 841us/step - loss: 4.7274
16/16 [==============================] - 0s 840us/step - loss: 4.7274

Testing for epoch 24 index 5:
391/391 [==============================] - 0s 595us/step
16/16 [==============================] - 0s 816us/step - loss: 4.1153
16/16 [==============================] - 0s 792us/step - loss: 4.7664
16/16 [==============================] - 0s 794us/step - loss: 4.7664
16/16 [==============================] - 0s 838us/step - loss: 4.7664
16/16 [==============================] - 0s 821us/step - loss: 4.7664
16/16 [==============================] - 0s 810us/step - loss: 4.7664
16/16 [==============================] - 0s 800us/step - loss: 4.7664
16/16 [==============================] - 0s 843us/step - loss: 4.7664
16/16 [==============================] - 0s 808us/step - loss: 4.7664
16/16 [==============================] - 0s 834us/step - loss: 4.7664

Testing for epoch 24 index 6:
391/391 [==============================] - 0s 587us/step
16/16 [==============================] - 0s 821us/step - loss: 4.0780
16/16 [==============================] - 0s 817us/step - loss: 4.7380
16/16 [==============================] - 0s 818us/step - loss: 4.7380
16/16 [==============================] - 0s 810us/step - loss: 4.7380
16/16 [==============================] - 0s 795us/step - loss: 4.7380
16/16 [==============================] - 0s 818us/step - loss: 4.7380
16/16 [==============================] - 0s 825us/step - loss: 4.7380
16/16 [==============================] - 0s 815us/step - loss: 4.7380
16/16 [==============================] - 0s 828us/step - loss: 4.7380
16/16 [==============================] - 0s 822us/step - loss: 4.7380

Testing for epoch 24 index 7:
391/391 [==============================] - 0s 605us/step
16/16 [==============================] - 0s 835us/step - loss: 4.0915
16/16 [==============================] - 0s 830us/step - loss: 4.7812
16/16 [==============================] - 0s 851us/step - loss: 4.7812
16/16 [==============================] - 0s 847us/step - loss: 4.7812
16/16 [==============================] - 0s 871us/step - loss: 4.7812
16/16 [==============================] - 0s 889us/step - loss: 4.7812
16/16 [==============================] - 0s 842us/step - loss: 4.7812
16/16 [==============================] - 0s 868us/step - loss: 4.7812
16/16 [==============================] - 0s 890us/step - loss: 4.7812
16/16 [==============================] - 0s 863us/step - loss: 4.7812

Testing for epoch 24 index 8:
391/391 [==============================] - 0s 597us/step
16/16 [==============================] - 0s 852us/step - loss: 4.0694
16/16 [==============================] - 0s 845us/step - loss: 4.7749
16/16 [==============================] - 0s 844us/step - loss: 4.7749
16/16 [==============================] - 0s 848us/step - loss: 4.7749
16/16 [==============================] - 0s 845us/step - loss: 4.7749
16/16 [==============================] - 0s 841us/step - loss: 4.7749
16/16 [==============================] - 0s 920us/step - loss: 4.7749
16/16 [==============================] - 0s 843us/step - loss: 4.7749
16/16 [==============================] - 0s 828us/step - loss: 4.7749
16/16 [==============================] - 0s 834us/step - loss: 4.7749

Testing for epoch 24 index 9:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.0912
16/16 [==============================] - 0s 3ms/step - loss: 4.7835
16/16 [==============================] - 0s 2ms/step - loss: 4.7835
16/16 [==============================] - 0s 2ms/step - loss: 4.7835
16/16 [==============================] - 0s 3ms/step - loss: 4.7835
16/16 [==============================] - 0s 5ms/step - loss: 4.7835
16/16 [==============================] - 0s 5ms/step - loss: 4.7835
16/16 [==============================] - 0s 2ms/step - loss: 4.7835
16/16 [==============================] - 0s 1ms/step - loss: 4.7835
16/16 [==============================] - 0s 2ms/step - loss: 4.7835

Testing for epoch 24 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.1309
16/16 [==============================] - 0s 1ms/step - loss: 4.7883
16/16 [==============================] - 0s 4ms/step - loss: 4.7883
16/16 [==============================] - 0s 2ms/step - loss: 4.7883
16/16 [==============================] - 0s 5ms/step - loss: 4.7883
16/16 [==============================] - 0s 2ms/step - loss: 4.7883
16/16 [==============================] - 0s 1ms/step - loss: 4.7883
16/16 [==============================] - 0s 2ms/step - loss: 4.7883
16/16 [==============================] - 0s 3ms/step - loss: 4.7883
16/16 [==============================] - 0s 2ms/step - loss: 4.7883

Testing for epoch 24 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.1405
16/16 [==============================] - 0s 2ms/step - loss: 4.7565
16/16 [==============================] - 0s 2ms/step - loss: 4.7565
16/16 [==============================] - 0s 3ms/step - loss: 4.7565
16/16 [==============================] - 0s 3ms/step - loss: 4.7565
16/16 [==============================] - 0s 3ms/step - loss: 4.7565
16/16 [==============================] - 0s 2ms/step - loss: 4.7565
16/16 [==============================] - 0s 3ms/step - loss: 4.7565
16/16 [==============================] - 0s 2ms/step - loss: 4.7565
16/16 [==============================] - 0s 5ms/step - loss: 4.7565

Testing for epoch 24 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.1779
16/16 [==============================] - 0s 1ms/step - loss: 4.7750
16/16 [==============================] - 0s 2ms/step - loss: 4.7750
16/16 [==============================] - 0s 3ms/step - loss: 4.7750
16/16 [==============================] - 0s 2ms/step - loss: 4.7750
16/16 [==============================] - 0s 2ms/step - loss: 4.7750
16/16 [==============================] - 0s 2ms/step - loss: 4.7750
16/16 [==============================] - 0s 2ms/step - loss: 4.7750
16/16 [==============================] - 0s 1ms/step - loss: 4.7750
16/16 [==============================] - 0s 3ms/step - loss: 4.7750

Testing for epoch 24 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2082
16/16 [==============================] - 0s 3ms/step - loss: 4.7886
16/16 [==============================] - 0s 3ms/step - loss: 4.7886
16/16 [==============================] - 0s 5ms/step - loss: 4.7886
16/16 [==============================] - 0s 3ms/step - loss: 4.7886
16/16 [==============================] - 0s 5ms/step - loss: 4.7886
16/16 [==============================] - 0s 2ms/step - loss: 4.7886
16/16 [==============================] - 0s 2ms/step - loss: 4.7886
16/16 [==============================] - 0s 3ms/step - loss: 4.7886
16/16 [==============================] - 0s 1ms/step - loss: 4.7886

Testing for epoch 24 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2322
16/16 [==============================] - 0s 5ms/step - loss: 4.8021
16/16 [==============================] - 0s 4ms/step - loss: 4.8021
16/16 [==============================] - 0s 4ms/step - loss: 4.8021
16/16 [==============================] - 0s 4ms/step - loss: 4.8021
16/16 [==============================] - 0s 6ms/step - loss: 4.8021
16/16 [==============================] - 0s 4ms/step - loss: 4.8021
16/16 [==============================] - 0s 3ms/step - loss: 4.8021
16/16 [==============================] - 0s 2ms/step - loss: 4.8021
16/16 [==============================] - 0s 5ms/step - loss: 4.8021

Testing for epoch 24 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.2470
16/16 [==============================] - 0s 4ms/step - loss: 4.8058
16/16 [==============================] - 0s 6ms/step - loss: 4.8058
16/16 [==============================] - 0s 3ms/step - loss: 4.8058
16/16 [==============================] - 0s 2ms/step - loss: 4.8058
16/16 [==============================] - 0s 2ms/step - loss: 4.8058
16/16 [==============================] - 0s 3ms/step - loss: 4.8058
16/16 [==============================] - 0s 2ms/step - loss: 4.8058
16/16 [==============================] - 0s 3ms/step - loss: 4.8058
16/16 [==============================] - 0s 2ms/step - loss: 4.8058

Testing for epoch 24 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2443
16/16 [==============================] - 0s 2ms/step - loss: 4.7914
16/16 [==============================] - 0s 3ms/step - loss: 4.7914
16/16 [==============================] - 0s 3ms/step - loss: 4.7914
16/16 [==============================] - 0s 1ms/step - loss: 4.7914
16/16 [==============================] - 0s 6ms/step - loss: 4.7914
16/16 [==============================] - 0s 2ms/step - loss: 4.7914
16/16 [==============================] - 0s 1ms/step - loss: 4.7914
16/16 [==============================] - 0s 2ms/step - loss: 4.7914
16/16 [==============================] - 0s 2ms/step - loss: 4.7914

Testing for epoch 24 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2645
16/16 [==============================] - 0s 2ms/step - loss: 4.8131
16/16 [==============================] - 0s 2ms/step - loss: 4.8131
16/16 [==============================] - 0s 2ms/step - loss: 4.8131
16/16 [==============================] - 0s 2ms/step - loss: 4.8131
16/16 [==============================] - 0s 3ms/step - loss: 4.8131
16/16 [==============================] - 0s 3ms/step - loss: 4.8131
16/16 [==============================] - 0s 2ms/step - loss: 4.8131
16/16 [==============================] - 0s 2ms/step - loss: 4.8131
16/16 [==============================] - 0s 2ms/step - loss: 4.8131

Testing for epoch 24 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.2663
16/16 [==============================] - 0s 2ms/step - loss: 4.8085
16/16 [==============================] - 0s 2ms/step - loss: 4.8085
16/16 [==============================] - 0s 5ms/step - loss: 4.8085
16/16 [==============================] - 0s 2ms/step - loss: 4.8085
16/16 [==============================] - 0s 2ms/step - loss: 4.8085
16/16 [==============================] - 0s 4ms/step - loss: 4.8085
16/16 [==============================] - 0s 4ms/step - loss: 4.8085
16/16 [==============================] - 0s 2ms/step - loss: 4.8085
16/16 [==============================] - 0s 2ms/step - loss: 4.8085

Testing for epoch 24 index 19:
391/391 [==============================] - 0s 634us/step
16/16 [==============================] - 0s 945us/step - loss: 4.2583
16/16 [==============================] - 0s 862us/step - loss: 4.7989
16/16 [==============================] - 0s 875us/step - loss: 4.7989
16/16 [==============================] - 0s 844us/step - loss: 4.7989
16/16 [==============================] - 0s 845us/step - loss: 4.7989
16/16 [==============================] - 0s 867us/step - loss: 4.7989
16/16 [==============================] - 0s 883us/step - loss: 4.7989
16/16 [==============================] - 0s 2ms/step - loss: 4.7989
16/16 [==============================] - 0s 3ms/step - loss: 4.7989
16/16 [==============================] - 0s 5ms/step - loss: 4.7989

Testing for epoch 24 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2658
16/16 [==============================] - 0s 1ms/step - loss: 4.8123
16/16 [==============================] - 0s 2ms/step - loss: 4.8123
16/16 [==============================] - 0s 1ms/step - loss: 4.8123
16/16 [==============================] - 0s 2ms/step - loss: 4.8123
16/16 [==============================] - 0s 2ms/step - loss: 4.8123
16/16 [==============================] - 0s 2ms/step - loss: 4.8123
16/16 [==============================] - 0s 1ms/step - loss: 4.8123
16/16 [==============================] - 0s 2ms/step - loss: 4.8123
16/16 [==============================] - 0s 2ms/step - loss: 4.8123

Testing for epoch 24 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2718
16/16 [==============================] - 0s 3ms/step - loss: 4.8181
16/16 [==============================] - 0s 2ms/step - loss: 4.8181
16/16 [==============================] - 0s 2ms/step - loss: 4.8181
16/16 [==============================] - 0s 2ms/step - loss: 4.8181
16/16 [==============================] - 0s 2ms/step - loss: 4.8181
16/16 [==============================] - 0s 4ms/step - loss: 4.8181
16/16 [==============================] - 0s 2ms/step - loss: 4.8181
16/16 [==============================] - 0s 3ms/step - loss: 4.8181
16/16 [==============================] - 0s 3ms/step - loss: 4.8181

Testing for epoch 24 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.2771
16/16 [==============================] - 0s 2ms/step - loss: 4.8337
16/16 [==============================] - 0s 2ms/step - loss: 4.8337
16/16 [==============================] - 0s 4ms/step - loss: 4.8337
16/16 [==============================] - 0s 5ms/step - loss: 4.8337
16/16 [==============================] - 0s 2ms/step - loss: 4.8337
16/16 [==============================] - 0s 1ms/step - loss: 4.8337
16/16 [==============================] - 0s 1ms/step - loss: 4.8337
16/16 [==============================] - 0s 2ms/step - loss: 4.8337
16/16 [==============================] - 0s 3ms/step - loss: 4.8337

Testing for epoch 24 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2479
16/16 [==============================] - 0s 3ms/step - loss: 4.7998
16/16 [==============================] - 0s 2ms/step - loss: 4.7998
16/16 [==============================] - 0s 2ms/step - loss: 4.7998
16/16 [==============================] - 0s 2ms/step - loss: 4.7998
16/16 [==============================] - 0s 3ms/step - loss: 4.7998
16/16 [==============================] - 0s 2ms/step - loss: 4.7998
16/16 [==============================] - 0s 2ms/step - loss: 4.7998
16/16 [==============================] - 0s 2ms/step - loss: 4.7998
16/16 [==============================] - 0s 4ms/step - loss: 4.7998

Testing for epoch 24 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2313
16/16 [==============================] - 0s 2ms/step - loss: 4.7928
16/16 [==============================] - 0s 1ms/step - loss: 4.7928
16/16 [==============================] - 0s 3ms/step - loss: 4.7928
16/16 [==============================] - 0s 4ms/step - loss: 4.7928
16/16 [==============================] - 0s 2ms/step - loss: 4.7928
16/16 [==============================] - 0s 2ms/step - loss: 4.7928
16/16 [==============================] - 0s 3ms/step - loss: 4.7928
16/16 [==============================] - 0s 2ms/step - loss: 4.7928
16/16 [==============================] - 0s 4ms/step - loss: 4.7928
Epoch 25 of 60

Testing for epoch 25 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2661
16/16 [==============================] - 0s 2ms/step - loss: 4.8523
16/16 [==============================] - 0s 3ms/step - loss: 4.8523
16/16 [==============================] - 0s 3ms/step - loss: 4.8523
16/16 [==============================] - 0s 4ms/step - loss: 4.8523
16/16 [==============================] - 0s 2ms/step - loss: 4.8523
16/16 [==============================] - 0s 2ms/step - loss: 4.8523
16/16 [==============================] - 0s 2ms/step - loss: 4.8523
16/16 [==============================] - 0s 1ms/step - loss: 4.8523
16/16 [==============================] - 0s 1ms/step - loss: 4.8523

Testing for epoch 25 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2531
16/16 [==============================] - 0s 2ms/step - loss: 4.8502
16/16 [==============================] - 0s 3ms/step - loss: 4.8502
16/16 [==============================] - 0s 2ms/step - loss: 4.8502
16/16 [==============================] - 0s 2ms/step - loss: 4.8502
16/16 [==============================] - 0s 2ms/step - loss: 4.8502
16/16 [==============================] - 0s 2ms/step - loss: 4.8502
16/16 [==============================] - 0s 2ms/step - loss: 4.8502
16/16 [==============================] - 0s 2ms/step - loss: 4.8502
16/16 [==============================] - 0s 2ms/step - loss: 4.8502

Testing for epoch 25 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2350
16/16 [==============================] - 0s 2ms/step - loss: 4.8416
16/16 [==============================] - 0s 2ms/step - loss: 4.8416
16/16 [==============================] - 0s 2ms/step - loss: 4.8416
16/16 [==============================] - 0s 2ms/step - loss: 4.8416
16/16 [==============================] - 0s 1ms/step - loss: 4.8416
16/16 [==============================] - 0s 2ms/step - loss: 4.8416
16/16 [==============================] - 0s 3ms/step - loss: 4.8416
16/16 [==============================] - 0s 1ms/step - loss: 4.8416
16/16 [==============================] - 0s 2ms/step - loss: 4.8416

Testing for epoch 25 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2231
16/16 [==============================] - 0s 1ms/step - loss: 4.8414
16/16 [==============================] - 0s 2ms/step - loss: 4.8414
16/16 [==============================] - 0s 1ms/step - loss: 4.8414
16/16 [==============================] - 0s 2ms/step - loss: 4.8414
16/16 [==============================] - 0s 1ms/step - loss: 4.8414
16/16 [==============================] - 0s 2ms/step - loss: 4.8414
16/16 [==============================] - 0s 2ms/step - loss: 4.8414
16/16 [==============================] - 0s 2ms/step - loss: 4.8414
16/16 [==============================] - 0s 2ms/step - loss: 4.8414

Testing for epoch 25 index 5:
391/391 [==============================] - 0s 959us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.2247
16/16 [==============================] - 0s 2ms/step - loss: 4.8659
16/16 [==============================] - 0s 3ms/step - loss: 4.8659
16/16 [==============================] - 0s 2ms/step - loss: 4.8659
16/16 [==============================] - 0s 2ms/step - loss: 4.8659
16/16 [==============================] - 0s 4ms/step - loss: 4.8659
16/16 [==============================] - 0s 2ms/step - loss: 4.8659
16/16 [==============================] - 0s 4ms/step - loss: 4.8659
16/16 [==============================] - 0s 2ms/step - loss: 4.8659
16/16 [==============================] - 0s 3ms/step - loss: 4.8659

Testing for epoch 25 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2006
16/16 [==============================] - 0s 2ms/step - loss: 4.8561
16/16 [==============================] - 0s 3ms/step - loss: 4.8561
16/16 [==============================] - 0s 2ms/step - loss: 4.8561
16/16 [==============================] - 0s 3ms/step - loss: 4.8561
16/16 [==============================] - 0s 2ms/step - loss: 4.8561
16/16 [==============================] - 0s 2ms/step - loss: 4.8561
16/16 [==============================] - 0s 5ms/step - loss: 4.8561
16/16 [==============================] - 0s 2ms/step - loss: 4.8561
16/16 [==============================] - 0s 2ms/step - loss: 4.8561

Testing for epoch 25 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.1899
16/16 [==============================] - 0s 3ms/step - loss: 4.8654
16/16 [==============================] - 0s 2ms/step - loss: 4.8654
16/16 [==============================] - 0s 2ms/step - loss: 4.8654
16/16 [==============================] - 0s 1ms/step - loss: 4.8654
16/16 [==============================] - 0s 2ms/step - loss: 4.8654
16/16 [==============================] - 0s 2ms/step - loss: 4.8654
16/16 [==============================] - 0s 3ms/step - loss: 4.8654
16/16 [==============================] - 0s 2ms/step - loss: 4.8654
16/16 [==============================] - 0s 2ms/step - loss: 4.8654

Testing for epoch 25 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.1582
16/16 [==============================] - 0s 2ms/step - loss: 4.8436
16/16 [==============================] - 0s 2ms/step - loss: 4.8436
16/16 [==============================] - 0s 4ms/step - loss: 4.8436
16/16 [==============================] - 0s 2ms/step - loss: 4.8436
16/16 [==============================] - 0s 2ms/step - loss: 4.8436
16/16 [==============================] - 0s 2ms/step - loss: 4.8436
16/16 [==============================] - 0s 1ms/step - loss: 4.8436
16/16 [==============================] - 0s 2ms/step - loss: 4.8436
16/16 [==============================] - 0s 2ms/step - loss: 4.8436

Testing for epoch 25 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.1585
16/16 [==============================] - 0s 2ms/step - loss: 4.8220
16/16 [==============================] - 0s 2ms/step - loss: 4.8220
16/16 [==============================] - 0s 2ms/step - loss: 4.8220
16/16 [==============================] - 0s 5ms/step - loss: 4.8220
16/16 [==============================] - 0s 2ms/step - loss: 4.8220
16/16 [==============================] - 0s 1ms/step - loss: 4.8220
16/16 [==============================] - 0s 2ms/step - loss: 4.8220
16/16 [==============================] - 0s 2ms/step - loss: 4.8220
16/16 [==============================] - 0s 3ms/step - loss: 4.8220

Testing for epoch 25 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2220
16/16 [==============================] - 0s 3ms/step - loss: 4.8647
16/16 [==============================] - 0s 3ms/step - loss: 4.8647
16/16 [==============================] - 0s 2ms/step - loss: 4.8647
16/16 [==============================] - 0s 3ms/step - loss: 4.8647
16/16 [==============================] - 0s 3ms/step - loss: 4.8647
16/16 [==============================] - 0s 2ms/step - loss: 4.8647
16/16 [==============================] - 0s 2ms/step - loss: 4.8647
16/16 [==============================] - 0s 3ms/step - loss: 4.8647
16/16 [==============================] - 0s 2ms/step - loss: 4.8647

Testing for epoch 25 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2470
16/16 [==============================] - 0s 2ms/step - loss: 4.8565
16/16 [==============================] - 0s 2ms/step - loss: 4.8565
16/16 [==============================] - 0s 3ms/step - loss: 4.8565
16/16 [==============================] - 0s 2ms/step - loss: 4.8565
16/16 [==============================] - 0s 3ms/step - loss: 4.8565
16/16 [==============================] - 0s 2ms/step - loss: 4.8565
16/16 [==============================] - 0s 2ms/step - loss: 4.8565
16/16 [==============================] - 0s 2ms/step - loss: 4.8565
16/16 [==============================] - 0s 2ms/step - loss: 4.8565

Testing for epoch 25 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2790
16/16 [==============================] - 0s 2ms/step - loss: 4.8698
16/16 [==============================] - 0s 2ms/step - loss: 4.8698
16/16 [==============================] - 0s 1ms/step - loss: 4.8698
16/16 [==============================] - 0s 2ms/step - loss: 4.8698
16/16 [==============================] - 0s 2ms/step - loss: 4.8698
16/16 [==============================] - 0s 2ms/step - loss: 4.8698
16/16 [==============================] - 0s 3ms/step - loss: 4.8698
16/16 [==============================] - 0s 3ms/step - loss: 4.8698
16/16 [==============================] - 0s 1ms/step - loss: 4.8698

Testing for epoch 25 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.2969
16/16 [==============================] - 0s 1ms/step - loss: 4.8701
16/16 [==============================] - 0s 2ms/step - loss: 4.8701
16/16 [==============================] - 0s 2ms/step - loss: 4.8701
16/16 [==============================] - 0s 2ms/step - loss: 4.8701
16/16 [==============================] - 0s 3ms/step - loss: 4.8701
16/16 [==============================] - 0s 2ms/step - loss: 4.8701
16/16 [==============================] - 0s 1ms/step - loss: 4.8701
16/16 [==============================] - 0s 3ms/step - loss: 4.8701
16/16 [==============================] - 0s 2ms/step - loss: 4.8701

Testing for epoch 25 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3275
16/16 [==============================] - 0s 2ms/step - loss: 4.8908
16/16 [==============================] - 0s 2ms/step - loss: 4.8908
16/16 [==============================] - 0s 2ms/step - loss: 4.8908
16/16 [==============================] - 0s 2ms/step - loss: 4.8908
16/16 [==============================] - 0s 2ms/step - loss: 4.8908
16/16 [==============================] - 0s 3ms/step - loss: 4.8908
16/16 [==============================] - 0s 3ms/step - loss: 4.8908
16/16 [==============================] - 0s 3ms/step - loss: 4.8908
16/16 [==============================] - 0s 2ms/step - loss: 4.8908

Testing for epoch 25 index 15:
391/391 [==============================] - 0s 960us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3297
16/16 [==============================] - 0s 3ms/step - loss: 4.8804
16/16 [==============================] - 0s 2ms/step - loss: 4.8804
16/16 [==============================] - 0s 1ms/step - loss: 4.8804
16/16 [==============================] - 0s 3ms/step - loss: 4.8804
16/16 [==============================] - 0s 3ms/step - loss: 4.8804
16/16 [==============================] - 0s 3ms/step - loss: 4.8804
16/16 [==============================] - 0s 2ms/step - loss: 4.8804
16/16 [==============================] - 0s 2ms/step - loss: 4.8804
16/16 [==============================] - 0s 3ms/step - loss: 4.8804

Testing for epoch 25 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.3414
16/16 [==============================] - 0s 2ms/step - loss: 4.8828
16/16 [==============================] - 0s 2ms/step - loss: 4.8828
16/16 [==============================] - 0s 2ms/step - loss: 4.8828
16/16 [==============================] - 0s 2ms/step - loss: 4.8828
16/16 [==============================] - 0s 3ms/step - loss: 4.8828
16/16 [==============================] - 0s 2ms/step - loss: 4.8828
16/16 [==============================] - 0s 1ms/step - loss: 4.8828
16/16 [==============================] - 0s 3ms/step - loss: 4.8828
16/16 [==============================] - 0s 3ms/step - loss: 4.8828

Testing for epoch 25 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3371
16/16 [==============================] - 0s 2ms/step - loss: 4.8722
16/16 [==============================] - 0s 2ms/step - loss: 4.8722
16/16 [==============================] - 0s 2ms/step - loss: 4.8722
16/16 [==============================] - 0s 2ms/step - loss: 4.8722
16/16 [==============================] - 0s 2ms/step - loss: 4.8722
16/16 [==============================] - 0s 2ms/step - loss: 4.8722
16/16 [==============================] - 0s 1ms/step - loss: 4.8722
16/16 [==============================] - 0s 1ms/step - loss: 4.8722
16/16 [==============================] - 0s 2ms/step - loss: 4.8722

Testing for epoch 25 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3431
16/16 [==============================] - 0s 2ms/step - loss: 4.8763
16/16 [==============================] - 0s 2ms/step - loss: 4.8763
16/16 [==============================] - 0s 3ms/step - loss: 4.8763
16/16 [==============================] - 0s 2ms/step - loss: 4.8763
16/16 [==============================] - 0s 2ms/step - loss: 4.8763
16/16 [==============================] - 0s 4ms/step - loss: 4.8763
16/16 [==============================] - 0s 2ms/step - loss: 4.8763
16/16 [==============================] - 0s 5ms/step - loss: 4.8763
16/16 [==============================] - 0s 2ms/step - loss: 4.8763

Testing for epoch 25 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3544
16/16 [==============================] - 0s 2ms/step - loss: 4.8912
16/16 [==============================] - 0s 2ms/step - loss: 4.8912
16/16 [==============================] - 0s 3ms/step - loss: 4.8912
16/16 [==============================] - 0s 3ms/step - loss: 4.8912
16/16 [==============================] - 0s 2ms/step - loss: 4.8912
16/16 [==============================] - 0s 1ms/step - loss: 4.8912
16/16 [==============================] - 0s 3ms/step - loss: 4.8912
16/16 [==============================] - 0s 3ms/step - loss: 4.8912
16/16 [==============================] - 0s 2ms/step - loss: 4.8912

Testing for epoch 25 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3617
16/16 [==============================] - 0s 1ms/step - loss: 4.9007
16/16 [==============================] - 0s 2ms/step - loss: 4.9007
16/16 [==============================] - 0s 1ms/step - loss: 4.9007
16/16 [==============================] - 0s 2ms/step - loss: 4.9007
16/16 [==============================] - 0s 2ms/step - loss: 4.9007
16/16 [==============================] - 0s 2ms/step - loss: 4.9007
16/16 [==============================] - 0s 3ms/step - loss: 4.9007
16/16 [==============================] - 0s 2ms/step - loss: 4.9007
16/16 [==============================] - 0s 2ms/step - loss: 4.9007

Testing for epoch 25 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3584
16/16 [==============================] - 0s 2ms/step - loss: 4.8970
16/16 [==============================] - 0s 2ms/step - loss: 4.8970
16/16 [==============================] - 0s 1ms/step - loss: 4.8970
16/16 [==============================] - 0s 1ms/step - loss: 4.8970
16/16 [==============================] - 0s 2ms/step - loss: 4.8970
16/16 [==============================] - 0s 2ms/step - loss: 4.8970
16/16 [==============================] - 0s 1ms/step - loss: 4.8970
16/16 [==============================] - 0s 2ms/step - loss: 4.8970
16/16 [==============================] - 0s 3ms/step - loss: 4.8970

Testing for epoch 25 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3624
16/16 [==============================] - 0s 2ms/step - loss: 4.9128
16/16 [==============================] - 0s 2ms/step - loss: 4.9128
16/16 [==============================] - 0s 2ms/step - loss: 4.9128
16/16 [==============================] - 0s 2ms/step - loss: 4.9128
16/16 [==============================] - 0s 4ms/step - loss: 4.9128
16/16 [==============================] - 0s 2ms/step - loss: 4.9128
16/16 [==============================] - 0s 2ms/step - loss: 4.9128
16/16 [==============================] - 0s 2ms/step - loss: 4.9128
16/16 [==============================] - 0s 2ms/step - loss: 4.9128

Testing for epoch 25 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3610
16/16 [==============================] - 0s 2ms/step - loss: 4.9203
16/16 [==============================] - 0s 2ms/step - loss: 4.9203
16/16 [==============================] - 0s 2ms/step - loss: 4.9203
16/16 [==============================] - 0s 3ms/step - loss: 4.9203
16/16 [==============================] - 0s 2ms/step - loss: 4.9203
16/16 [==============================] - 0s 2ms/step - loss: 4.9203
16/16 [==============================] - 0s 2ms/step - loss: 4.9203
16/16 [==============================] - 0s 2ms/step - loss: 4.9203
16/16 [==============================] - 0s 1ms/step - loss: 4.9203

Testing for epoch 25 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3340
16/16 [==============================] - 0s 1ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
16/16 [==============================] - 0s 3ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
16/16 [==============================] - 0s 2ms/step - loss: 4.8887
Epoch 26 of 60

Testing for epoch 26 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3226
16/16 [==============================] - 0s 2ms/step - loss: 4.8909
16/16 [==============================] - 0s 3ms/step - loss: 4.8909
16/16 [==============================] - 0s 2ms/step - loss: 4.8909
16/16 [==============================] - 0s 2ms/step - loss: 4.8909
16/16 [==============================] - 0s 1ms/step - loss: 4.8909
16/16 [==============================] - 0s 1ms/step - loss: 4.8909
16/16 [==============================] - 0s 1ms/step - loss: 4.8909
16/16 [==============================] - 0s 2ms/step - loss: 4.8909
16/16 [==============================] - 0s 1ms/step - loss: 4.8909

Testing for epoch 26 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3383
16/16 [==============================] - 0s 2ms/step - loss: 4.9232
16/16 [==============================] - 0s 2ms/step - loss: 4.9232
16/16 [==============================] - 0s 2ms/step - loss: 4.9232
16/16 [==============================] - 0s 2ms/step - loss: 4.9232
16/16 [==============================] - 0s 5ms/step - loss: 4.9232
16/16 [==============================] - 0s 3ms/step - loss: 4.9232
16/16 [==============================] - 0s 2ms/step - loss: 4.9232
16/16 [==============================] - 0s 3ms/step - loss: 4.9232
16/16 [==============================] - 0s 2ms/step - loss: 4.9232

Testing for epoch 26 index 3:
391/391 [==============================] - 0s 939us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.3193
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 1ms/step - loss: 4.9150
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 4ms/step - loss: 4.9150

Testing for epoch 26 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2908
16/16 [==============================] - 0s 2ms/step - loss: 4.8881
16/16 [==============================] - 0s 2ms/step - loss: 4.8881
16/16 [==============================] - 0s 2ms/step - loss: 4.8881
16/16 [==============================] - 0s 3ms/step - loss: 4.8881
16/16 [==============================] - 0s 4ms/step - loss: 4.8881
16/16 [==============================] - 0s 2ms/step - loss: 4.8881
16/16 [==============================] - 0s 2ms/step - loss: 4.8881
16/16 [==============================] - 0s 2ms/step - loss: 4.8881
16/16 [==============================] - 0s 4ms/step - loss: 4.8881

Testing for epoch 26 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2894
16/16 [==============================] - 0s 1ms/step - loss: 4.9077
16/16 [==============================] - 0s 3ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9077
16/16 [==============================] - 0s 2ms/step - loss: 4.9077

Testing for epoch 26 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2952
16/16 [==============================] - 0s 2ms/step - loss: 4.9317
16/16 [==============================] - 0s 2ms/step - loss: 4.9317
16/16 [==============================] - 0s 3ms/step - loss: 4.9317
16/16 [==============================] - 0s 3ms/step - loss: 4.9317
16/16 [==============================] - 0s 2ms/step - loss: 4.9317
16/16 [==============================] - 0s 2ms/step - loss: 4.9317
16/16 [==============================] - 0s 2ms/step - loss: 4.9317
16/16 [==============================] - 0s 2ms/step - loss: 4.9317
16/16 [==============================] - 0s 2ms/step - loss: 4.9317

Testing for epoch 26 index 7:
391/391 [==============================] - 0s 993us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.2663
16/16 [==============================] - 0s 2ms/step - loss: 4.9162
16/16 [==============================] - 0s 2ms/step - loss: 4.9162
16/16 [==============================] - 0s 2ms/step - loss: 4.9162
16/16 [==============================] - 0s 1ms/step - loss: 4.9162
16/16 [==============================] - 0s 2ms/step - loss: 4.9162
16/16 [==============================] - 0s 2ms/step - loss: 4.9162
16/16 [==============================] - 0s 3ms/step - loss: 4.9162
16/16 [==============================] - 0s 2ms/step - loss: 4.9162
16/16 [==============================] - 0s 3ms/step - loss: 4.9162

Testing for epoch 26 index 8:
391/391 [==============================] - 0s 900us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2432
16/16 [==============================] - 0s 2ms/step - loss: 4.9014
16/16 [==============================] - 0s 1ms/step - loss: 4.9014
16/16 [==============================] - 0s 2ms/step - loss: 4.9014
16/16 [==============================] - 0s 2ms/step - loss: 4.9014
16/16 [==============================] - 0s 3ms/step - loss: 4.9014
16/16 [==============================] - 0s 2ms/step - loss: 4.9014
16/16 [==============================] - 0s 3ms/step - loss: 4.9014
16/16 [==============================] - 0s 2ms/step - loss: 4.9014
16/16 [==============================] - 0s 1ms/step - loss: 4.9014

Testing for epoch 26 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.2661
16/16 [==============================] - 0s 1ms/step - loss: 4.9228
16/16 [==============================] - 0s 2ms/step - loss: 4.9228
16/16 [==============================] - 0s 3ms/step - loss: 4.9228
16/16 [==============================] - 0s 2ms/step - loss: 4.9228
16/16 [==============================] - 0s 2ms/step - loss: 4.9228
16/16 [==============================] - 0s 1ms/step - loss: 4.9228
16/16 [==============================] - 0s 2ms/step - loss: 4.9228
16/16 [==============================] - 0s 2ms/step - loss: 4.9228
16/16 [==============================] - 0s 2ms/step - loss: 4.9228

Testing for epoch 26 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3177
16/16 [==============================] - 0s 2ms/step - loss: 4.9441
16/16 [==============================] - 0s 2ms/step - loss: 4.9441
16/16 [==============================] - 0s 2ms/step - loss: 4.9441
16/16 [==============================] - 0s 2ms/step - loss: 4.9441
16/16 [==============================] - 0s 2ms/step - loss: 4.9441
16/16 [==============================] - 0s 3ms/step - loss: 4.9441
16/16 [==============================] - 0s 2ms/step - loss: 4.9441
16/16 [==============================] - 0s 1ms/step - loss: 4.9441
16/16 [==============================] - 0s 2ms/step - loss: 4.9441

Testing for epoch 26 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3236
16/16 [==============================] - 0s 3ms/step - loss: 4.9154
16/16 [==============================] - 0s 3ms/step - loss: 4.9154
16/16 [==============================] - 0s 2ms/step - loss: 4.9154
16/16 [==============================] - 0s 3ms/step - loss: 4.9154
16/16 [==============================] - 0s 2ms/step - loss: 4.9154
16/16 [==============================] - 0s 2ms/step - loss: 4.9154
16/16 [==============================] - 0s 1ms/step - loss: 4.9154
16/16 [==============================] - 0s 1ms/step - loss: 4.9154
16/16 [==============================] - 0s 1ms/step - loss: 4.9154

Testing for epoch 26 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3497
16/16 [==============================] - 0s 2ms/step - loss: 4.9257
16/16 [==============================] - 0s 2ms/step - loss: 4.9257
16/16 [==============================] - 0s 2ms/step - loss: 4.9257
16/16 [==============================] - 0s 3ms/step - loss: 4.9257
16/16 [==============================] - 0s 2ms/step - loss: 4.9257
16/16 [==============================] - 0s 1ms/step - loss: 4.9257
16/16 [==============================] - 0s 1ms/step - loss: 4.9257
16/16 [==============================] - 0s 4ms/step - loss: 4.9257
16/16 [==============================] - 0s 2ms/step - loss: 4.9257

Testing for epoch 26 index 13:
391/391 [==============================] - 0s 1000us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.3712
16/16 [==============================] - 0s 2ms/step - loss: 4.9312
16/16 [==============================] - 0s 2ms/step - loss: 4.9312
16/16 [==============================] - 0s 1ms/step - loss: 4.9312
16/16 [==============================] - 0s 1ms/step - loss: 4.9312
16/16 [==============================] - 0s 2ms/step - loss: 4.9312
16/16 [==============================] - 0s 2ms/step - loss: 4.9312
16/16 [==============================] - 0s 2ms/step - loss: 4.9312
16/16 [==============================] - 0s 1ms/step - loss: 4.9312
16/16 [==============================] - 0s 2ms/step - loss: 4.9312

Testing for epoch 26 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3923
16/16 [==============================] - 0s 2ms/step - loss: 4.9354
16/16 [==============================] - 0s 2ms/step - loss: 4.9354
16/16 [==============================] - 0s 2ms/step - loss: 4.9354
16/16 [==============================] - 0s 1ms/step - loss: 4.9354
16/16 [==============================] - 0s 3ms/step - loss: 4.9354
16/16 [==============================] - 0s 2ms/step - loss: 4.9354
16/16 [==============================] - 0s 2ms/step - loss: 4.9354
16/16 [==============================] - 0s 2ms/step - loss: 4.9354
16/16 [==============================] - 0s 4ms/step - loss: 4.9354

Testing for epoch 26 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.3974
16/16 [==============================] - 0s 2ms/step - loss: 4.9333
16/16 [==============================] - 0s 2ms/step - loss: 4.9333
16/16 [==============================] - 0s 1ms/step - loss: 4.9333
16/16 [==============================] - 0s 2ms/step - loss: 4.9333
16/16 [==============================] - 0s 2ms/step - loss: 4.9333
16/16 [==============================] - 0s 2ms/step - loss: 4.9333
16/16 [==============================] - 0s 2ms/step - loss: 4.9333
16/16 [==============================] - 0s 2ms/step - loss: 4.9333
16/16 [==============================] - 0s 3ms/step - loss: 4.9333

Testing for epoch 26 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4224
16/16 [==============================] - 0s 2ms/step - loss: 4.9556
16/16 [==============================] - 0s 2ms/step - loss: 4.9556
16/16 [==============================] - 0s 2ms/step - loss: 4.9556
16/16 [==============================] - 0s 3ms/step - loss: 4.9556
16/16 [==============================] - 0s 2ms/step - loss: 4.9556
16/16 [==============================] - 0s 1ms/step - loss: 4.9556
16/16 [==============================] - 0s 2ms/step - loss: 4.9556
16/16 [==============================] - 0s 2ms/step - loss: 4.9556
16/16 [==============================] - 0s 2ms/step - loss: 4.9556

Testing for epoch 26 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4120
16/16 [==============================] - 0s 2ms/step - loss: 4.9405
16/16 [==============================] - 0s 1ms/step - loss: 4.9405
16/16 [==============================] - 0s 1ms/step - loss: 4.9405
16/16 [==============================] - 0s 2ms/step - loss: 4.9405
16/16 [==============================] - 0s 2ms/step - loss: 4.9405
16/16 [==============================] - 0s 2ms/step - loss: 4.9405
16/16 [==============================] - 0s 1ms/step - loss: 4.9405
16/16 [==============================] - 0s 1ms/step - loss: 4.9405
16/16 [==============================] - 0s 2ms/step - loss: 4.9405

Testing for epoch 26 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.4239
16/16 [==============================] - 0s 2ms/step - loss: 4.9531
16/16 [==============================] - 0s 3ms/step - loss: 4.9531
16/16 [==============================] - 0s 2ms/step - loss: 4.9531
16/16 [==============================] - 0s 3ms/step - loss: 4.9531
16/16 [==============================] - 0s 2ms/step - loss: 4.9531
16/16 [==============================] - 0s 2ms/step - loss: 4.9531
16/16 [==============================] - 0s 2ms/step - loss: 4.9531
16/16 [==============================] - 0s 2ms/step - loss: 4.9531
16/16 [==============================] - 0s 1ms/step - loss: 4.9531

Testing for epoch 26 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4347
16/16 [==============================] - 0s 4ms/step - loss: 4.9673
16/16 [==============================] - 0s 2ms/step - loss: 4.9673
16/16 [==============================] - 0s 2ms/step - loss: 4.9673
16/16 [==============================] - 0s 2ms/step - loss: 4.9673
16/16 [==============================] - 0s 1ms/step - loss: 4.9673
16/16 [==============================] - 0s 1ms/step - loss: 4.9673
16/16 [==============================] - 0s 2ms/step - loss: 4.9673
16/16 [==============================] - 0s 2ms/step - loss: 4.9673
16/16 [==============================] - 0s 2ms/step - loss: 4.9673

Testing for epoch 26 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4282
16/16 [==============================] - 0s 2ms/step - loss: 4.9560
16/16 [==============================] - 0s 2ms/step - loss: 4.9560
16/16 [==============================] - 0s 3ms/step - loss: 4.9560
16/16 [==============================] - 0s 2ms/step - loss: 4.9560
16/16 [==============================] - 0s 2ms/step - loss: 4.9560
16/16 [==============================] - 0s 2ms/step - loss: 4.9560
16/16 [==============================] - 0s 2ms/step - loss: 4.9560
16/16 [==============================] - 0s 3ms/step - loss: 4.9560
16/16 [==============================] - 0s 4ms/step - loss: 4.9560

Testing for epoch 26 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3989
16/16 [==============================] - 0s 2ms/step - loss: 4.9184
16/16 [==============================] - 0s 4ms/step - loss: 4.9184
16/16 [==============================] - 0s 2ms/step - loss: 4.9184
16/16 [==============================] - 0s 2ms/step - loss: 4.9184
16/16 [==============================] - 0s 2ms/step - loss: 4.9184
16/16 [==============================] - 0s 3ms/step - loss: 4.9184
16/16 [==============================] - 0s 3ms/step - loss: 4.9184
16/16 [==============================] - 0s 2ms/step - loss: 4.9184
16/16 [==============================] - 0s 3ms/step - loss: 4.9184

Testing for epoch 26 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.4426
16/16 [==============================] - 0s 2ms/step - loss: 4.9848
16/16 [==============================] - 0s 3ms/step - loss: 4.9848
16/16 [==============================] - 0s 2ms/step - loss: 4.9848
16/16 [==============================] - 0s 2ms/step - loss: 4.9848
16/16 [==============================] - 0s 2ms/step - loss: 4.9848
16/16 [==============================] - 0s 2ms/step - loss: 4.9848
16/16 [==============================] - 0s 2ms/step - loss: 4.9848
16/16 [==============================] - 0s 2ms/step - loss: 4.9848
16/16 [==============================] - 0s 1ms/step - loss: 4.9848

Testing for epoch 26 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.4130
16/16 [==============================] - 0s 3ms/step - loss: 4.9465
16/16 [==============================] - 0s 1ms/step - loss: 4.9465
16/16 [==============================] - 0s 2ms/step - loss: 4.9465
16/16 [==============================] - 0s 3ms/step - loss: 4.9465
16/16 [==============================] - 0s 3ms/step - loss: 4.9465
16/16 [==============================] - 0s 2ms/step - loss: 4.9465
16/16 [==============================] - 0s 3ms/step - loss: 4.9465
16/16 [==============================] - 0s 3ms/step - loss: 4.9465
16/16 [==============================] - 0s 3ms/step - loss: 4.9465

Testing for epoch 26 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4205
16/16 [==============================] - 0s 3ms/step - loss: 4.9736
16/16 [==============================] - 0s 2ms/step - loss: 4.9736
16/16 [==============================] - 0s 2ms/step - loss: 4.9736
16/16 [==============================] - 0s 2ms/step - loss: 4.9736
16/16 [==============================] - 0s 2ms/step - loss: 4.9736
16/16 [==============================] - 0s 2ms/step - loss: 4.9736
16/16 [==============================] - 0s 2ms/step - loss: 4.9736
16/16 [==============================] - 0s 3ms/step - loss: 4.9736
16/16 [==============================] - 0s 2ms/step - loss: 4.9736
Epoch 27 of 60

Testing for epoch 27 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3989
16/16 [==============================] - 0s 1ms/step - loss: 4.9528
16/16 [==============================] - 0s 2ms/step - loss: 4.9528
16/16 [==============================] - 0s 2ms/step - loss: 4.9528
16/16 [==============================] - 0s 2ms/step - loss: 4.9528
16/16 [==============================] - 0s 2ms/step - loss: 4.9528
16/16 [==============================] - 0s 2ms/step - loss: 4.9528
16/16 [==============================] - 0s 2ms/step - loss: 4.9528
16/16 [==============================] - 0s 2ms/step - loss: 4.9528
16/16 [==============================] - 0s 1ms/step - loss: 4.9528

Testing for epoch 27 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3938
16/16 [==============================] - 0s 2ms/step - loss: 4.9562
16/16 [==============================] - 0s 2ms/step - loss: 4.9562
16/16 [==============================] - 0s 1ms/step - loss: 4.9562
16/16 [==============================] - 0s 4ms/step - loss: 4.9562
16/16 [==============================] - 0s 3ms/step - loss: 4.9562
16/16 [==============================] - 0s 2ms/step - loss: 4.9562
16/16 [==============================] - 0s 4ms/step - loss: 4.9562
16/16 [==============================] - 0s 3ms/step - loss: 4.9562
16/16 [==============================] - 0s 3ms/step - loss: 4.9562

Testing for epoch 27 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.3957
16/16 [==============================] - 0s 2ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9759
16/16 [==============================] - 0s 3ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9759
16/16 [==============================] - 0s 2ms/step - loss: 4.9759

Testing for epoch 27 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3753
16/16 [==============================] - 0s 1ms/step - loss: 4.9657
16/16 [==============================] - 0s 2ms/step - loss: 4.9657
16/16 [==============================] - 0s 2ms/step - loss: 4.9657
16/16 [==============================] - 0s 2ms/step - loss: 4.9657
16/16 [==============================] - 0s 3ms/step - loss: 4.9657
16/16 [==============================] - 0s 2ms/step - loss: 4.9657
16/16 [==============================] - 0s 1ms/step - loss: 4.9657
16/16 [==============================] - 0s 2ms/step - loss: 4.9657
16/16 [==============================] - 0s 2ms/step - loss: 4.9657

Testing for epoch 27 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3643
16/16 [==============================] - 0s 2ms/step - loss: 4.9636
16/16 [==============================] - 0s 3ms/step - loss: 4.9636
16/16 [==============================] - 0s 2ms/step - loss: 4.9636
16/16 [==============================] - 0s 3ms/step - loss: 4.9636
16/16 [==============================] - 0s 2ms/step - loss: 4.9636
16/16 [==============================] - 0s 2ms/step - loss: 4.9636
16/16 [==============================] - 0s 2ms/step - loss: 4.9636
16/16 [==============================] - 0s 2ms/step - loss: 4.9636
16/16 [==============================] - 0s 2ms/step - loss: 4.9636

Testing for epoch 27 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3548
16/16 [==============================] - 0s 2ms/step - loss: 4.9707
16/16 [==============================] - 0s 2ms/step - loss: 4.9707
16/16 [==============================] - 0s 2ms/step - loss: 4.9707
16/16 [==============================] - 0s 2ms/step - loss: 4.9707
16/16 [==============================] - 0s 2ms/step - loss: 4.9707
16/16 [==============================] - 0s 2ms/step - loss: 4.9707
16/16 [==============================] - 0s 2ms/step - loss: 4.9707
16/16 [==============================] - 0s 4ms/step - loss: 4.9707
16/16 [==============================] - 0s 3ms/step - loss: 4.9707

Testing for epoch 27 index 7:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3516
16/16 [==============================] - 0s 3ms/step - loss: 4.9828
16/16 [==============================] - 0s 3ms/step - loss: 4.9828
16/16 [==============================] - 0s 3ms/step - loss: 4.9828
16/16 [==============================] - 0s 4ms/step - loss: 4.9828
16/16 [==============================] - 0s 3ms/step - loss: 4.9828
16/16 [==============================] - 0s 2ms/step - loss: 4.9828
16/16 [==============================] - 0s 1ms/step - loss: 4.9828
16/16 [==============================] - 0s 979us/step - loss: 4.9828
16/16 [==============================] - 0s 718us/step - loss: 4.9828

Testing for epoch 27 index 8:
391/391 [==============================] - 0s 884us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.3429
16/16 [==============================] - 0s 1ms/step - loss: 4.9951
16/16 [==============================] - 0s 2ms/step - loss: 4.9951
16/16 [==============================] - 0s 2ms/step - loss: 4.9951
16/16 [==============================] - 0s 1ms/step - loss: 4.9951
16/16 [==============================] - 0s 2ms/step - loss: 4.9951
16/16 [==============================] - 0s 3ms/step - loss: 4.9951
16/16 [==============================] - 0s 1ms/step - loss: 4.9951
16/16 [==============================] - 0s 694us/step - loss: 4.9951
16/16 [==============================] - 0s 785us/step - loss: 4.9951

Testing for epoch 27 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.3439
16/16 [==============================] - 0s 1ms/step - loss: 4.9797
16/16 [==============================] - 0s 971us/step - loss: 4.9797
16/16 [==============================] - 0s 1ms/step - loss: 4.9797
16/16 [==============================] - 0s 2ms/step - loss: 4.9797
16/16 [==============================] - 0s 2ms/step - loss: 4.9797
16/16 [==============================] - 0s 910us/step - loss: 4.9797
16/16 [==============================] - 0s 2ms/step - loss: 4.9797
16/16 [==============================] - 0s 920us/step - loss: 4.9797
16/16 [==============================] - 0s 945us/step - loss: 4.9797

Testing for epoch 27 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 873us/step - loss: 4.3802
16/16 [==============================] - 0s 925us/step - loss: 4.9860
16/16 [==============================] - 0s 1ms/step - loss: 4.9860
16/16 [==============================] - 0s 1ms/step - loss: 4.9860
16/16 [==============================] - 0s 4ms/step - loss: 4.9860
16/16 [==============================] - 0s 3ms/step - loss: 4.9860
16/16 [==============================] - 0s 5ms/step - loss: 4.9860
16/16 [==============================] - 0s 2ms/step - loss: 4.9860
16/16 [==============================] - 0s 1ms/step - loss: 4.9860
16/16 [==============================] - 0s 6ms/step - loss: 4.9860

Testing for epoch 27 index 11:
391/391 [==============================] - 0s 742us/step
16/16 [==============================] - 0s 866us/step - loss: 4.4065
16/16 [==============================] - 0s 876us/step - loss: 4.9861
16/16 [==============================] - 0s 867us/step - loss: 4.9861
16/16 [==============================] - 0s 840us/step - loss: 4.9861
16/16 [==============================] - 0s 832us/step - loss: 4.9861
16/16 [==============================] - 0s 868us/step - loss: 4.9861
16/16 [==============================] - 0s 836us/step - loss: 4.9861
16/16 [==============================] - 0s 852us/step - loss: 4.9861
16/16 [==============================] - 0s 871us/step - loss: 4.9861
16/16 [==============================] - 0s 908us/step - loss: 4.9861

Testing for epoch 27 index 12:
391/391 [==============================] - 0s 635us/step
16/16 [==============================] - 0s 684us/step - loss: 4.4230
16/16 [==============================] - 0s 800us/step - loss: 4.9841
16/16 [==============================] - 0s 788us/step - loss: 4.9841
16/16 [==============================] - 0s 3ms/step - loss: 4.9841
16/16 [==============================] - 0s 8ms/step - loss: 4.9841
16/16 [==============================] - 0s 5ms/step - loss: 4.9841
16/16 [==============================] - 0s 3ms/step - loss: 4.9841
16/16 [==============================] - 0s 3ms/step - loss: 4.9841
16/16 [==============================] - 0s 5ms/step - loss: 4.9841
16/16 [==============================] - 0s 5ms/step - loss: 4.9841

Testing for epoch 27 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.4479
16/16 [==============================] - 0s 4ms/step - loss: 4.9973
16/16 [==============================] - 0s 5ms/step - loss: 4.9973
16/16 [==============================] - 0s 6ms/step - loss: 4.9973
16/16 [==============================] - 0s 6ms/step - loss: 4.9973
16/16 [==============================] - 0s 4ms/step - loss: 4.9973
16/16 [==============================] - 0s 4ms/step - loss: 4.9973
16/16 [==============================] - 0s 3ms/step - loss: 4.9973
16/16 [==============================] - 0s 4ms/step - loss: 4.9973
16/16 [==============================] - 0s 4ms/step - loss: 4.9973

Testing for epoch 27 index 14:
391/391 [==============================] - 0s 601us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.4609
16/16 [==============================] - 0s 1ms/step - loss: 4.9961
16/16 [==============================] - 0s 845us/step - loss: 4.9961
16/16 [==============================] - 0s 2ms/step - loss: 4.9961
16/16 [==============================] - 0s 2ms/step - loss: 4.9961
16/16 [==============================] - 0s 2ms/step - loss: 4.9961
16/16 [==============================] - 0s 2ms/step - loss: 4.9961
16/16 [==============================] - 0s 1ms/step - loss: 4.9961
16/16 [==============================] - 0s 1ms/step - loss: 4.9961
16/16 [==============================] - 0s 2ms/step - loss: 4.9961

Testing for epoch 27 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4830
16/16 [==============================] - 0s 1ms/step - loss: 5.0206
16/16 [==============================] - 0s 2ms/step - loss: 5.0206
16/16 [==============================] - 0s 3ms/step - loss: 5.0206
16/16 [==============================] - 0s 3ms/step - loss: 5.0206
16/16 [==============================] - 0s 2ms/step - loss: 5.0206
16/16 [==============================] - 0s 2ms/step - loss: 5.0206
16/16 [==============================] - 0s 4ms/step - loss: 5.0206
16/16 [==============================] - 0s 3ms/step - loss: 5.0206
16/16 [==============================] - 0s 1ms/step - loss: 5.0206

Testing for epoch 27 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4835
16/16 [==============================] - 0s 1ms/step - loss: 5.0042
16/16 [==============================] - 0s 2ms/step - loss: 5.0042
16/16 [==============================] - 0s 1ms/step - loss: 5.0042
16/16 [==============================] - 0s 2ms/step - loss: 5.0042
16/16 [==============================] - 0s 1ms/step - loss: 5.0042
16/16 [==============================] - 0s 1ms/step - loss: 5.0042
16/16 [==============================] - 0s 1ms/step - loss: 5.0042
16/16 [==============================] - 0s 3ms/step - loss: 5.0042
16/16 [==============================] - 0s 4ms/step - loss: 5.0042

Testing for epoch 27 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4819
16/16 [==============================] - 0s 2ms/step - loss: 4.9919
16/16 [==============================] - 0s 2ms/step - loss: 4.9919
16/16 [==============================] - 0s 1ms/step - loss: 4.9919
16/16 [==============================] - 0s 2ms/step - loss: 4.9919
16/16 [==============================] - 0s 1ms/step - loss: 4.9919
16/16 [==============================] - 0s 2ms/step - loss: 4.9919
16/16 [==============================] - 0s 3ms/step - loss: 4.9919
16/16 [==============================] - 0s 2ms/step - loss: 4.9919
16/16 [==============================] - 0s 3ms/step - loss: 4.9919

Testing for epoch 27 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.4896
16/16 [==============================] - 0s 3ms/step - loss: 5.0077
16/16 [==============================] - 0s 2ms/step - loss: 5.0077
16/16 [==============================] - 0s 2ms/step - loss: 5.0077
16/16 [==============================] - 0s 3ms/step - loss: 5.0077
16/16 [==============================] - 0s 3ms/step - loss: 5.0077
16/16 [==============================] - 0s 2ms/step - loss: 5.0077
16/16 [==============================] - 0s 1ms/step - loss: 5.0077
16/16 [==============================] - 0s 1ms/step - loss: 5.0077
16/16 [==============================] - 0s 3ms/step - loss: 5.0077

Testing for epoch 27 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4844
16/16 [==============================] - 0s 2ms/step - loss: 4.9991
16/16 [==============================] - 0s 2ms/step - loss: 4.9991
16/16 [==============================] - 0s 2ms/step - loss: 4.9991
16/16 [==============================] - 0s 1ms/step - loss: 4.9991
16/16 [==============================] - 0s 2ms/step - loss: 4.9991
16/16 [==============================] - 0s 2ms/step - loss: 4.9991
16/16 [==============================] - 0s 3ms/step - loss: 4.9991
16/16 [==============================] - 0s 1ms/step - loss: 4.9991
16/16 [==============================] - 0s 3ms/step - loss: 4.9991

Testing for epoch 27 index 20:
391/391 [==============================] - 0s 966us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4799
16/16 [==============================] - 0s 4ms/step - loss: 4.9962
16/16 [==============================] - 0s 4ms/step - loss: 4.9962
16/16 [==============================] - 0s 1ms/step - loss: 4.9962
16/16 [==============================] - 0s 3ms/step - loss: 4.9962
16/16 [==============================] - 0s 2ms/step - loss: 4.9962
16/16 [==============================] - 0s 3ms/step - loss: 4.9962
16/16 [==============================] - 0s 2ms/step - loss: 4.9962
16/16 [==============================] - 0s 2ms/step - loss: 4.9962
16/16 [==============================] - 0s 2ms/step - loss: 4.9962

Testing for epoch 27 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4972
16/16 [==============================] - 0s 2ms/step - loss: 5.0206
16/16 [==============================] - 0s 2ms/step - loss: 5.0206
16/16 [==============================] - 0s 2ms/step - loss: 5.0206
16/16 [==============================] - 0s 4ms/step - loss: 5.0206
16/16 [==============================] - 0s 3ms/step - loss: 5.0206
16/16 [==============================] - 0s 6ms/step - loss: 5.0206
16/16 [==============================] - 0s 4ms/step - loss: 5.0206
16/16 [==============================] - 0s 7ms/step - loss: 5.0206
16/16 [==============================] - 0s 6ms/step - loss: 5.0206

Testing for epoch 27 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.5112
16/16 [==============================] - 0s 1ms/step - loss: 5.0430
16/16 [==============================] - 0s 4ms/step - loss: 5.0430
16/16 [==============================] - 0s 5ms/step - loss: 5.0430
16/16 [==============================] - 0s 4ms/step - loss: 5.0430
16/16 [==============================] - 0s 2ms/step - loss: 5.0430
16/16 [==============================] - 0s 4ms/step - loss: 5.0430
16/16 [==============================] - 0s 2ms/step - loss: 5.0430
16/16 [==============================] - 0s 2ms/step - loss: 5.0430
16/16 [==============================] - 0s 3ms/step - loss: 5.0430

Testing for epoch 27 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.4971
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
16/16 [==============================] - 0s 3ms/step - loss: 5.0305
16/16 [==============================] - 0s 2ms/step - loss: 5.0305
16/16 [==============================] - 0s 3ms/step - loss: 5.0305
16/16 [==============================] - 0s 1ms/step - loss: 5.0305
16/16 [==============================] - 0s 3ms/step - loss: 5.0305
16/16 [==============================] - 0s 2ms/step - loss: 5.0305

Testing for epoch 27 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.4792
16/16 [==============================] - 0s 3ms/step - loss: 5.0137
16/16 [==============================] - 0s 3ms/step - loss: 5.0137
16/16 [==============================] - 0s 5ms/step - loss: 5.0137
16/16 [==============================] - 0s 2ms/step - loss: 5.0137
16/16 [==============================] - 0s 2ms/step - loss: 5.0137
16/16 [==============================] - 0s 5ms/step - loss: 5.0137
16/16 [==============================] - 0s 6ms/step - loss: 5.0137
16/16 [==============================] - 0s 2ms/step - loss: 5.0137
16/16 [==============================] - 0s 2ms/step - loss: 5.0137
Epoch 28 of 60

Testing for epoch 28 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.4644
16/16 [==============================] - 0s 5ms/step - loss: 5.0071
16/16 [==============================] - 0s 2ms/step - loss: 5.0071
16/16 [==============================] - 0s 2ms/step - loss: 5.0071
16/16 [==============================] - 0s 3ms/step - loss: 5.0071
16/16 [==============================] - 0s 2ms/step - loss: 5.0071
16/16 [==============================] - 0s 5ms/step - loss: 5.0071
16/16 [==============================] - 0s 5ms/step - loss: 5.0071
16/16 [==============================] - 0s 1ms/step - loss: 5.0071
16/16 [==============================] - 0s 2ms/step - loss: 5.0071

Testing for epoch 28 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.4668
16/16 [==============================] - 0s 2ms/step - loss: 5.0202
16/16 [==============================] - 0s 3ms/step - loss: 5.0202
16/16 [==============================] - 0s 3ms/step - loss: 5.0202
16/16 [==============================] - 0s 5ms/step - loss: 5.0202
16/16 [==============================] - 0s 2ms/step - loss: 5.0202
16/16 [==============================] - 0s 3ms/step - loss: 5.0202
16/16 [==============================] - 0s 2ms/step - loss: 5.0202
16/16 [==============================] - 0s 3ms/step - loss: 5.0202
16/16 [==============================] - 0s 2ms/step - loss: 5.0202

Testing for epoch 28 index 3:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4771
16/16 [==============================] - 0s 2ms/step - loss: 5.0480
16/16 [==============================] - 0s 4ms/step - loss: 5.0480
16/16 [==============================] - 0s 4ms/step - loss: 5.0480
16/16 [==============================] - 0s 3ms/step - loss: 5.0480
16/16 [==============================] - 0s 3ms/step - loss: 5.0480
16/16 [==============================] - 0s 4ms/step - loss: 5.0480
16/16 [==============================] - 0s 3ms/step - loss: 5.0480
16/16 [==============================] - 0s 5ms/step - loss: 5.0480
16/16 [==============================] - 0s 5ms/step - loss: 5.0480

Testing for epoch 28 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4395
16/16 [==============================] - 0s 4ms/step - loss: 5.0060
16/16 [==============================] - 0s 2ms/step - loss: 5.0060
16/16 [==============================] - 0s 4ms/step - loss: 5.0060
16/16 [==============================] - 0s 1ms/step - loss: 5.0060
16/16 [==============================] - 0s 3ms/step - loss: 5.0060
16/16 [==============================] - 0s 6ms/step - loss: 5.0060
16/16 [==============================] - 0s 5ms/step - loss: 5.0060
16/16 [==============================] - 0s 2ms/step - loss: 5.0060
16/16 [==============================] - 0s 3ms/step - loss: 5.0060

Testing for epoch 28 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.4522
16/16 [==============================] - 0s 3ms/step - loss: 5.0446
16/16 [==============================] - 0s 7ms/step - loss: 5.0446
16/16 [==============================] - 0s 3ms/step - loss: 5.0446
16/16 [==============================] - 0s 3ms/step - loss: 5.0446
16/16 [==============================] - 0s 2ms/step - loss: 5.0446
16/16 [==============================] - 0s 2ms/step - loss: 5.0446
16/16 [==============================] - 0s 1ms/step - loss: 5.0446
16/16 [==============================] - 0s 4ms/step - loss: 5.0446
16/16 [==============================] - 0s 4ms/step - loss: 5.0446

Testing for epoch 28 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.4368
16/16 [==============================] - 0s 3ms/step - loss: 5.0378
16/16 [==============================] - 0s 2ms/step - loss: 5.0378
16/16 [==============================] - 0s 3ms/step - loss: 5.0378
16/16 [==============================] - 0s 5ms/step - loss: 5.0378
16/16 [==============================] - 0s 2ms/step - loss: 5.0378
16/16 [==============================] - 0s 3ms/step - loss: 5.0378
16/16 [==============================] - 0s 1ms/step - loss: 5.0378
16/16 [==============================] - 0s 2ms/step - loss: 5.0378
16/16 [==============================] - 0s 2ms/step - loss: 5.0378

Testing for epoch 28 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4282
16/16 [==============================] - 0s 3ms/step - loss: 5.0415
16/16 [==============================] - 0s 5ms/step - loss: 5.0415
16/16 [==============================] - 0s 3ms/step - loss: 5.0415
16/16 [==============================] - 0s 2ms/step - loss: 5.0415
16/16 [==============================] - 0s 2ms/step - loss: 5.0415
16/16 [==============================] - 0s 2ms/step - loss: 5.0415
16/16 [==============================] - 0s 3ms/step - loss: 5.0415
16/16 [==============================] - 0s 2ms/step - loss: 5.0415
16/16 [==============================] - 0s 4ms/step - loss: 5.0415

Testing for epoch 28 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4248
16/16 [==============================] - 0s 3ms/step - loss: 5.0559
16/16 [==============================] - 0s 2ms/step - loss: 5.0559
16/16 [==============================] - 0s 2ms/step - loss: 5.0559
16/16 [==============================] - 0s 3ms/step - loss: 5.0559
16/16 [==============================] - 0s 3ms/step - loss: 5.0559
16/16 [==============================] - 0s 1ms/step - loss: 5.0559
16/16 [==============================] - 0s 4ms/step - loss: 5.0559
16/16 [==============================] - 0s 6ms/step - loss: 5.0559
16/16 [==============================] - 0s 2ms/step - loss: 5.0559

Testing for epoch 28 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4232
16/16 [==============================] - 0s 2ms/step - loss: 5.0433
16/16 [==============================] - 0s 4ms/step - loss: 5.0433
16/16 [==============================] - 0s 2ms/step - loss: 5.0433
16/16 [==============================] - 0s 2ms/step - loss: 5.0433
16/16 [==============================] - 0s 3ms/step - loss: 5.0433
16/16 [==============================] - 0s 1ms/step - loss: 5.0433
16/16 [==============================] - 0s 2ms/step - loss: 5.0433
16/16 [==============================] - 0s 3ms/step - loss: 5.0433
16/16 [==============================] - 0s 2ms/step - loss: 5.0433

Testing for epoch 28 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4535
16/16 [==============================] - 0s 2ms/step - loss: 5.0407
16/16 [==============================] - 0s 4ms/step - loss: 5.0407
16/16 [==============================] - 0s 2ms/step - loss: 5.0407
16/16 [==============================] - 0s 3ms/step - loss: 5.0407
16/16 [==============================] - 0s 3ms/step - loss: 5.0407
16/16 [==============================] - 0s 2ms/step - loss: 5.0407
16/16 [==============================] - 0s 2ms/step - loss: 5.0407
16/16 [==============================] - 0s 3ms/step - loss: 5.0407
16/16 [==============================] - 0s 3ms/step - loss: 5.0407

Testing for epoch 28 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.4925
16/16 [==============================] - 0s 2ms/step - loss: 5.0670
16/16 [==============================] - 0s 2ms/step - loss: 5.0670
16/16 [==============================] - 0s 2ms/step - loss: 5.0670
16/16 [==============================] - 0s 5ms/step - loss: 5.0670
16/16 [==============================] - 0s 3ms/step - loss: 5.0670
16/16 [==============================] - 0s 3ms/step - loss: 5.0670
16/16 [==============================] - 0s 2ms/step - loss: 5.0670
16/16 [==============================] - 0s 2ms/step - loss: 5.0670
16/16 [==============================] - 0s 2ms/step - loss: 5.0670

Testing for epoch 28 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5098
16/16 [==============================] - 0s 3ms/step - loss: 5.0719
16/16 [==============================] - 0s 4ms/step - loss: 5.0719
16/16 [==============================] - 0s 2ms/step - loss: 5.0719
16/16 [==============================] - 0s 2ms/step - loss: 5.0719
16/16 [==============================] - 0s 4ms/step - loss: 5.0719
16/16 [==============================] - 0s 3ms/step - loss: 5.0719
16/16 [==============================] - 0s 4ms/step - loss: 5.0719
16/16 [==============================] - 0s 2ms/step - loss: 5.0719
16/16 [==============================] - 0s 2ms/step - loss: 5.0719

Testing for epoch 28 index 13:
391/391 [==============================] - 1s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5153
16/16 [==============================] - 0s 4ms/step - loss: 5.0555
16/16 [==============================] - 0s 3ms/step - loss: 5.0555
16/16 [==============================] - 0s 3ms/step - loss: 5.0555
16/16 [==============================] - 0s 2ms/step - loss: 5.0555
16/16 [==============================] - 0s 2ms/step - loss: 5.0555
16/16 [==============================] - 0s 3ms/step - loss: 5.0555
16/16 [==============================] - 0s 3ms/step - loss: 5.0555
16/16 [==============================] - 0s 1ms/step - loss: 5.0555
16/16 [==============================] - 0s 2ms/step - loss: 5.0555

Testing for epoch 28 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.5232
16/16 [==============================] - 0s 2ms/step - loss: 5.0501
16/16 [==============================] - 0s 2ms/step - loss: 5.0501
16/16 [==============================] - 0s 2ms/step - loss: 5.0501
16/16 [==============================] - 0s 3ms/step - loss: 5.0501
16/16 [==============================] - 0s 3ms/step - loss: 5.0501
16/16 [==============================] - 0s 3ms/step - loss: 5.0501
16/16 [==============================] - 0s 2ms/step - loss: 5.0501
16/16 [==============================] - 0s 4ms/step - loss: 5.0501
16/16 [==============================] - 0s 2ms/step - loss: 5.0501

Testing for epoch 28 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5565
16/16 [==============================] - 0s 2ms/step - loss: 5.0804
16/16 [==============================] - 0s 2ms/step - loss: 5.0804
16/16 [==============================] - 0s 2ms/step - loss: 5.0804
16/16 [==============================] - 0s 2ms/step - loss: 5.0804
16/16 [==============================] - 0s 2ms/step - loss: 5.0804
16/16 [==============================] - 0s 2ms/step - loss: 5.0804
16/16 [==============================] - 0s 1ms/step - loss: 5.0804
16/16 [==============================] - 0s 2ms/step - loss: 5.0804
16/16 [==============================] - 0s 2ms/step - loss: 5.0804

Testing for epoch 28 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5557
16/16 [==============================] - 0s 2ms/step - loss: 5.0707
16/16 [==============================] - 0s 1ms/step - loss: 5.0707
16/16 [==============================] - 0s 2ms/step - loss: 5.0707
16/16 [==============================] - 0s 4ms/step - loss: 5.0707
16/16 [==============================] - 0s 2ms/step - loss: 5.0707
16/16 [==============================] - 0s 4ms/step - loss: 5.0707
16/16 [==============================] - 0s 2ms/step - loss: 5.0707
16/16 [==============================] - 0s 3ms/step - loss: 5.0707
16/16 [==============================] - 0s 2ms/step - loss: 5.0707

Testing for epoch 28 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.5586
16/16 [==============================] - 0s 3ms/step - loss: 5.0735
16/16 [==============================] - 0s 3ms/step - loss: 5.0735
16/16 [==============================] - 0s 5ms/step - loss: 5.0735
16/16 [==============================] - 0s 3ms/step - loss: 5.0735
16/16 [==============================] - 0s 2ms/step - loss: 5.0735
16/16 [==============================] - 0s 3ms/step - loss: 5.0735
16/16 [==============================] - 0s 3ms/step - loss: 5.0735
16/16 [==============================] - 0s 2ms/step - loss: 5.0735
16/16 [==============================] - 0s 2ms/step - loss: 5.0735

Testing for epoch 28 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5489
16/16 [==============================] - 0s 3ms/step - loss: 5.0548
16/16 [==============================] - 0s 2ms/step - loss: 5.0548
16/16 [==============================] - 0s 3ms/step - loss: 5.0548
16/16 [==============================] - 0s 3ms/step - loss: 5.0548
16/16 [==============================] - 0s 3ms/step - loss: 5.0548
16/16 [==============================] - 0s 3ms/step - loss: 5.0548
16/16 [==============================] - 0s 3ms/step - loss: 5.0548
16/16 [==============================] - 0s 3ms/step - loss: 5.0548
16/16 [==============================] - 0s 2ms/step - loss: 5.0548

Testing for epoch 28 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5678
16/16 [==============================] - 0s 1ms/step - loss: 5.0782
16/16 [==============================] - 0s 4ms/step - loss: 5.0782
16/16 [==============================] - 0s 6ms/step - loss: 5.0782
16/16 [==============================] - 0s 1ms/step - loss: 5.0782
16/16 [==============================] - 0s 2ms/step - loss: 5.0782
16/16 [==============================] - 0s 2ms/step - loss: 5.0782
16/16 [==============================] - 0s 3ms/step - loss: 5.0782
16/16 [==============================] - 0s 2ms/step - loss: 5.0782
16/16 [==============================] - 0s 2ms/step - loss: 5.0782

Testing for epoch 28 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5604
16/16 [==============================] - 0s 2ms/step - loss: 5.0704
16/16 [==============================] - 0s 6ms/step - loss: 5.0704
16/16 [==============================] - 0s 2ms/step - loss: 5.0704
16/16 [==============================] - 0s 2ms/step - loss: 5.0704
16/16 [==============================] - 0s 1ms/step - loss: 5.0704
16/16 [==============================] - 0s 4ms/step - loss: 5.0704
16/16 [==============================] - 0s 3ms/step - loss: 5.0704
16/16 [==============================] - 0s 2ms/step - loss: 5.0704
16/16 [==============================] - 0s 2ms/step - loss: 5.0704

Testing for epoch 28 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5729
16/16 [==============================] - 0s 3ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 4ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 5ms/step - loss: 5.0883
16/16 [==============================] - 0s 5ms/step - loss: 5.0883

Testing for epoch 28 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5794
16/16 [==============================] - 0s 2ms/step - loss: 5.1033
16/16 [==============================] - 0s 2ms/step - loss: 5.1033
16/16 [==============================] - 0s 2ms/step - loss: 5.1033
16/16 [==============================] - 0s 2ms/step - loss: 5.1033
16/16 [==============================] - 0s 3ms/step - loss: 5.1033
16/16 [==============================] - 0s 2ms/step - loss: 5.1033
16/16 [==============================] - 0s 2ms/step - loss: 5.1033
16/16 [==============================] - 0s 3ms/step - loss: 5.1033
16/16 [==============================] - 0s 2ms/step - loss: 5.1033

Testing for epoch 28 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5732
16/16 [==============================] - 0s 2ms/step - loss: 5.1013
16/16 [==============================] - 0s 4ms/step - loss: 5.1013
16/16 [==============================] - 0s 3ms/step - loss: 5.1013
16/16 [==============================] - 0s 2ms/step - loss: 5.1013
16/16 [==============================] - 0s 2ms/step - loss: 5.1013
16/16 [==============================] - 0s 3ms/step - loss: 5.1013
16/16 [==============================] - 0s 1ms/step - loss: 5.1013
16/16 [==============================] - 0s 3ms/step - loss: 5.1013
16/16 [==============================] - 0s 3ms/step - loss: 5.1013

Testing for epoch 28 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5295
16/16 [==============================] - 0s 2ms/step - loss: 5.0496
16/16 [==============================] - 0s 3ms/step - loss: 5.0496
16/16 [==============================] - 0s 3ms/step - loss: 5.0496
16/16 [==============================] - 0s 2ms/step - loss: 5.0496
16/16 [==============================] - 0s 2ms/step - loss: 5.0496
16/16 [==============================] - 0s 3ms/step - loss: 5.0496
16/16 [==============================] - 0s 2ms/step - loss: 5.0496
16/16 [==============================] - 0s 5ms/step - loss: 5.0496
16/16 [==============================] - 0s 3ms/step - loss: 5.0496
Epoch 29 of 60

Testing for epoch 29 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.5523
16/16 [==============================] - 0s 1ms/step - loss: 5.0890
16/16 [==============================] - 0s 3ms/step - loss: 5.0890
16/16 [==============================] - 0s 2ms/step - loss: 5.0890
16/16 [==============================] - 0s 5ms/step - loss: 5.0890
16/16 [==============================] - 0s 2ms/step - loss: 5.0890
16/16 [==============================] - 0s 3ms/step - loss: 5.0890
16/16 [==============================] - 0s 5ms/step - loss: 5.0890
16/16 [==============================] - 0s 4ms/step - loss: 5.0890
16/16 [==============================] - 0s 1ms/step - loss: 5.0890

Testing for epoch 29 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5443
16/16 [==============================] - 0s 2ms/step - loss: 5.0867
16/16 [==============================] - 0s 3ms/step - loss: 5.0867
16/16 [==============================] - 0s 3ms/step - loss: 5.0867
16/16 [==============================] - 0s 4ms/step - loss: 5.0867
16/16 [==============================] - 0s 2ms/step - loss: 5.0867
16/16 [==============================] - 0s 4ms/step - loss: 5.0867
16/16 [==============================] - 0s 3ms/step - loss: 5.0867
16/16 [==============================] - 0s 2ms/step - loss: 5.0867
16/16 [==============================] - 0s 2ms/step - loss: 5.0867

Testing for epoch 29 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5345
16/16 [==============================] - 0s 2ms/step - loss: 5.0892
16/16 [==============================] - 0s 2ms/step - loss: 5.0892
16/16 [==============================] - 0s 4ms/step - loss: 5.0892
16/16 [==============================] - 0s 3ms/step - loss: 5.0892
16/16 [==============================] - 0s 3ms/step - loss: 5.0892
16/16 [==============================] - 0s 2ms/step - loss: 5.0892
16/16 [==============================] - 0s 2ms/step - loss: 5.0892
16/16 [==============================] - 0s 1ms/step - loss: 5.0892
16/16 [==============================] - 0s 2ms/step - loss: 5.0892

Testing for epoch 29 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5390
16/16 [==============================] - 0s 1ms/step - loss: 5.1047
16/16 [==============================] - 0s 2ms/step - loss: 5.1047
16/16 [==============================] - 0s 2ms/step - loss: 5.1047
16/16 [==============================] - 0s 3ms/step - loss: 5.1047
16/16 [==============================] - 0s 2ms/step - loss: 5.1047
16/16 [==============================] - 0s 2ms/step - loss: 5.1047
16/16 [==============================] - 0s 3ms/step - loss: 5.1047
16/16 [==============================] - 0s 2ms/step - loss: 5.1047
16/16 [==============================] - 0s 5ms/step - loss: 5.1047

Testing for epoch 29 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5135
16/16 [==============================] - 0s 2ms/step - loss: 5.0818
16/16 [==============================] - 0s 3ms/step - loss: 5.0818
16/16 [==============================] - 0s 2ms/step - loss: 5.0818
16/16 [==============================] - 0s 2ms/step - loss: 5.0818
16/16 [==============================] - 0s 2ms/step - loss: 5.0818
16/16 [==============================] - 0s 1ms/step - loss: 5.0818
16/16 [==============================] - 0s 4ms/step - loss: 5.0818
16/16 [==============================] - 0s 3ms/step - loss: 5.0818
16/16 [==============================] - 0s 2ms/step - loss: 5.0818

Testing for epoch 29 index 6:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5119
16/16 [==============================] - 0s 2ms/step - loss: 5.1000
16/16 [==============================] - 0s 3ms/step - loss: 5.1000
16/16 [==============================] - 0s 3ms/step - loss: 5.1000
16/16 [==============================] - 0s 3ms/step - loss: 5.1000
16/16 [==============================] - 0s 3ms/step - loss: 5.1000
16/16 [==============================] - 0s 2ms/step - loss: 5.1000
16/16 [==============================] - 0s 1ms/step - loss: 5.1000
16/16 [==============================] - 0s 3ms/step - loss: 5.1000
16/16 [==============================] - 0s 2ms/step - loss: 5.1000

Testing for epoch 29 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5079
16/16 [==============================] - 0s 5ms/step - loss: 5.1067
16/16 [==============================] - 0s 3ms/step - loss: 5.1067
16/16 [==============================] - 0s 3ms/step - loss: 5.1067
16/16 [==============================] - 0s 3ms/step - loss: 5.1067
16/16 [==============================] - 0s 5ms/step - loss: 5.1067
16/16 [==============================] - 0s 2ms/step - loss: 5.1067
16/16 [==============================] - 0s 3ms/step - loss: 5.1067
16/16 [==============================] - 0s 2ms/step - loss: 5.1067
16/16 [==============================] - 0s 3ms/step - loss: 5.1067

Testing for epoch 29 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5181
16/16 [==============================] - 0s 2ms/step - loss: 5.1421
16/16 [==============================] - 0s 2ms/step - loss: 5.1421
16/16 [==============================] - 0s 2ms/step - loss: 5.1421
16/16 [==============================] - 0s 3ms/step - loss: 5.1421
16/16 [==============================] - 0s 2ms/step - loss: 5.1421
16/16 [==============================] - 0s 2ms/step - loss: 5.1421
16/16 [==============================] - 0s 2ms/step - loss: 5.1421
16/16 [==============================] - 0s 2ms/step - loss: 5.1421
16/16 [==============================] - 0s 2ms/step - loss: 5.1421

Testing for epoch 29 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.4983
16/16 [==============================] - 0s 3ms/step - loss: 5.1005
16/16 [==============================] - 0s 2ms/step - loss: 5.1005
16/16 [==============================] - 0s 2ms/step - loss: 5.1005
16/16 [==============================] - 0s 3ms/step - loss: 5.1005
16/16 [==============================] - 0s 2ms/step - loss: 5.1005
16/16 [==============================] - 0s 2ms/step - loss: 5.1005
16/16 [==============================] - 0s 3ms/step - loss: 5.1005
16/16 [==============================] - 0s 2ms/step - loss: 5.1005
16/16 [==============================] - 0s 2ms/step - loss: 5.1005

Testing for epoch 29 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5185
16/16 [==============================] - 0s 3ms/step - loss: 5.0883
16/16 [==============================] - 0s 4ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 6ms/step - loss: 5.0883
16/16 [==============================] - 0s 4ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.0883
16/16 [==============================] - 0s 3ms/step - loss: 5.0883

Testing for epoch 29 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5578
16/16 [==============================] - 0s 3ms/step - loss: 5.1209
16/16 [==============================] - 0s 3ms/step - loss: 5.1209
16/16 [==============================] - 0s 2ms/step - loss: 5.1209
16/16 [==============================] - 0s 2ms/step - loss: 5.1209
16/16 [==============================] - 0s 2ms/step - loss: 5.1209
16/16 [==============================] - 0s 3ms/step - loss: 5.1209
16/16 [==============================] - 0s 2ms/step - loss: 5.1209
16/16 [==============================] - 0s 3ms/step - loss: 5.1209
16/16 [==============================] - 0s 2ms/step - loss: 5.1209

Testing for epoch 29 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.5678
16/16 [==============================] - 0s 2ms/step - loss: 5.1116
16/16 [==============================] - 0s 5ms/step - loss: 5.1116
16/16 [==============================] - 0s 3ms/step - loss: 5.1116
16/16 [==============================] - 0s 3ms/step - loss: 5.1116
16/16 [==============================] - 0s 3ms/step - loss: 5.1116
16/16 [==============================] - 0s 2ms/step - loss: 5.1116
16/16 [==============================] - 0s 2ms/step - loss: 5.1116
16/16 [==============================] - 0s 2ms/step - loss: 5.1116
16/16 [==============================] - 0s 3ms/step - loss: 5.1116

Testing for epoch 29 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5867
16/16 [==============================] - 0s 2ms/step - loss: 5.1193
16/16 [==============================] - 0s 2ms/step - loss: 5.1193
16/16 [==============================] - 0s 2ms/step - loss: 5.1193
16/16 [==============================] - 0s 2ms/step - loss: 5.1193
16/16 [==============================] - 0s 3ms/step - loss: 5.1193
16/16 [==============================] - 0s 3ms/step - loss: 5.1193
16/16 [==============================] - 0s 2ms/step - loss: 5.1193
16/16 [==============================] - 0s 2ms/step - loss: 5.1193
16/16 [==============================] - 0s 3ms/step - loss: 5.1193

Testing for epoch 29 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5940
16/16 [==============================] - 0s 5ms/step - loss: 5.1114
16/16 [==============================] - 0s 2ms/step - loss: 5.1114
16/16 [==============================] - 0s 3ms/step - loss: 5.1114
16/16 [==============================] - 0s 4ms/step - loss: 5.1114
16/16 [==============================] - 0s 4ms/step - loss: 5.1114
16/16 [==============================] - 0s 2ms/step - loss: 5.1114
16/16 [==============================] - 0s 1ms/step - loss: 5.1114
16/16 [==============================] - 0s 3ms/step - loss: 5.1114
16/16 [==============================] - 0s 2ms/step - loss: 5.1114

Testing for epoch 29 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6062
16/16 [==============================] - 0s 3ms/step - loss: 5.1190
16/16 [==============================] - 0s 2ms/step - loss: 5.1190
16/16 [==============================] - 0s 2ms/step - loss: 5.1190
16/16 [==============================] - 0s 2ms/step - loss: 5.1190
16/16 [==============================] - 0s 3ms/step - loss: 5.1190
16/16 [==============================] - 0s 2ms/step - loss: 5.1190
16/16 [==============================] - 0s 3ms/step - loss: 5.1190
16/16 [==============================] - 0s 2ms/step - loss: 5.1190
16/16 [==============================] - 0s 3ms/step - loss: 5.1190

Testing for epoch 29 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6266
16/16 [==============================] - 0s 1ms/step - loss: 5.1365
16/16 [==============================] - 0s 2ms/step - loss: 5.1365
16/16 [==============================] - 0s 2ms/step - loss: 5.1365
16/16 [==============================] - 0s 3ms/step - loss: 5.1365
16/16 [==============================] - 0s 2ms/step - loss: 5.1365
16/16 [==============================] - 0s 3ms/step - loss: 5.1365
16/16 [==============================] - 0s 2ms/step - loss: 5.1365
16/16 [==============================] - 0s 5ms/step - loss: 5.1365
16/16 [==============================] - 0s 2ms/step - loss: 5.1365

Testing for epoch 29 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6212
16/16 [==============================] - 0s 2ms/step - loss: 5.1241
16/16 [==============================] - 0s 2ms/step - loss: 5.1241
16/16 [==============================] - 0s 2ms/step - loss: 5.1241
16/16 [==============================] - 0s 2ms/step - loss: 5.1241
16/16 [==============================] - 0s 2ms/step - loss: 5.1241
16/16 [==============================] - 0s 2ms/step - loss: 5.1241
16/16 [==============================] - 0s 3ms/step - loss: 5.1241
16/16 [==============================] - 0s 3ms/step - loss: 5.1241
16/16 [==============================] - 0s 2ms/step - loss: 5.1241

Testing for epoch 29 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.6226
16/16 [==============================] - 0s 3ms/step - loss: 5.1228
16/16 [==============================] - 0s 2ms/step - loss: 5.1228
16/16 [==============================] - 0s 2ms/step - loss: 5.1228
16/16 [==============================] - 0s 3ms/step - loss: 5.1228
16/16 [==============================] - 0s 2ms/step - loss: 5.1228
16/16 [==============================] - 0s 2ms/step - loss: 5.1228
16/16 [==============================] - 0s 4ms/step - loss: 5.1228
16/16 [==============================] - 0s 3ms/step - loss: 5.1228
16/16 [==============================] - 0s 4ms/step - loss: 5.1228

Testing for epoch 29 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6501
16/16 [==============================] - 0s 2ms/step - loss: 5.1576
16/16 [==============================] - 0s 4ms/step - loss: 5.1576
16/16 [==============================] - 0s 2ms/step - loss: 5.1576
16/16 [==============================] - 0s 2ms/step - loss: 5.1576
16/16 [==============================] - 0s 3ms/step - loss: 5.1576
16/16 [==============================] - 0s 3ms/step - loss: 5.1576
16/16 [==============================] - 0s 2ms/step - loss: 5.1576
16/16 [==============================] - 0s 2ms/step - loss: 5.1576
16/16 [==============================] - 0s 2ms/step - loss: 5.1576

Testing for epoch 29 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.6274
16/16 [==============================] - 0s 2ms/step - loss: 5.1309
16/16 [==============================] - 0s 2ms/step - loss: 5.1309
16/16 [==============================] - 0s 2ms/step - loss: 5.1309
16/16 [==============================] - 0s 4ms/step - loss: 5.1309
16/16 [==============================] - 0s 2ms/step - loss: 5.1309
16/16 [==============================] - 0s 2ms/step - loss: 5.1309
16/16 [==============================] - 0s 3ms/step - loss: 5.1309
16/16 [==============================] - 0s 2ms/step - loss: 5.1309
16/16 [==============================] - 0s 2ms/step - loss: 5.1309

Testing for epoch 29 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6325
16/16 [==============================] - 0s 2ms/step - loss: 5.1418
16/16 [==============================] - 0s 2ms/step - loss: 5.1418
16/16 [==============================] - 0s 2ms/step - loss: 5.1418
16/16 [==============================] - 0s 4ms/step - loss: 5.1418
16/16 [==============================] - 0s 2ms/step - loss: 5.1418
16/16 [==============================] - 0s 2ms/step - loss: 5.1418
16/16 [==============================] - 0s 2ms/step - loss: 5.1418
16/16 [==============================] - 0s 2ms/step - loss: 5.1418
16/16 [==============================] - 0s 2ms/step - loss: 5.1418

Testing for epoch 29 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.6361
16/16 [==============================] - 0s 1ms/step - loss: 5.1462
16/16 [==============================] - 0s 2ms/step - loss: 5.1462
16/16 [==============================] - 0s 2ms/step - loss: 5.1462
16/16 [==============================] - 0s 2ms/step - loss: 5.1462
16/16 [==============================] - 0s 5ms/step - loss: 5.1462
16/16 [==============================] - 0s 3ms/step - loss: 5.1462
16/16 [==============================] - 0s 1ms/step - loss: 5.1462
16/16 [==============================] - 0s 1ms/step - loss: 5.1462
16/16 [==============================] - 0s 1ms/step - loss: 5.1462

Testing for epoch 29 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6301
16/16 [==============================] - 0s 3ms/step - loss: 5.1429
16/16 [==============================] - 0s 2ms/step - loss: 5.1429
16/16 [==============================] - 0s 1ms/step - loss: 5.1429
16/16 [==============================] - 0s 3ms/step - loss: 5.1429
16/16 [==============================] - 0s 2ms/step - loss: 5.1429
16/16 [==============================] - 0s 2ms/step - loss: 5.1429
16/16 [==============================] - 0s 1ms/step - loss: 5.1429
16/16 [==============================] - 0s 2ms/step - loss: 5.1429
16/16 [==============================] - 0s 2ms/step - loss: 5.1429

Testing for epoch 29 index 24:
391/391 [==============================] - 0s 969us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6164
16/16 [==============================] - 0s 3ms/step - loss: 5.1331
16/16 [==============================] - 0s 1ms/step - loss: 5.1331
16/16 [==============================] - 0s 2ms/step - loss: 5.1331
16/16 [==============================] - 0s 1ms/step - loss: 5.1331
16/16 [==============================] - 0s 2ms/step - loss: 5.1331
16/16 [==============================] - 0s 2ms/step - loss: 5.1331
16/16 [==============================] - 0s 2ms/step - loss: 5.1331
16/16 [==============================] - 0s 1ms/step - loss: 5.1331
16/16 [==============================] - 0s 2ms/step - loss: 5.1331
Epoch 30 of 60

Testing for epoch 30 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6343
16/16 [==============================] - 0s 1ms/step - loss: 5.1650
16/16 [==============================] - 0s 1ms/step - loss: 5.1650
16/16 [==============================] - 0s 1ms/step - loss: 5.1650
16/16 [==============================] - 0s 1ms/step - loss: 5.1650
16/16 [==============================] - 0s 2ms/step - loss: 5.1650
16/16 [==============================] - 0s 2ms/step - loss: 5.1650
16/16 [==============================] - 0s 2ms/step - loss: 5.1650
16/16 [==============================] - 0s 2ms/step - loss: 5.1650
16/16 [==============================] - 0s 2ms/step - loss: 5.1650

Testing for epoch 30 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5948
16/16 [==============================] - 0s 2ms/step - loss: 5.1224
16/16 [==============================] - 0s 2ms/step - loss: 5.1224
16/16 [==============================] - 0s 2ms/step - loss: 5.1224
16/16 [==============================] - 0s 4ms/step - loss: 5.1224
16/16 [==============================] - 0s 2ms/step - loss: 5.1224
16/16 [==============================] - 0s 2ms/step - loss: 5.1224
16/16 [==============================] - 0s 1ms/step - loss: 5.1224
16/16 [==============================] - 0s 2ms/step - loss: 5.1224
16/16 [==============================] - 0s 2ms/step - loss: 5.1224

Testing for epoch 30 index 3:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5931
16/16 [==============================] - 0s 3ms/step - loss: 5.1316
16/16 [==============================] - 0s 2ms/step - loss: 5.1316
16/16 [==============================] - 0s 2ms/step - loss: 5.1316
16/16 [==============================] - 0s 2ms/step - loss: 5.1316
16/16 [==============================] - 0s 2ms/step - loss: 5.1316
16/16 [==============================] - 0s 3ms/step - loss: 5.1316
16/16 [==============================] - 0s 4ms/step - loss: 5.1316
16/16 [==============================] - 0s 2ms/step - loss: 5.1316
16/16 [==============================] - 0s 2ms/step - loss: 5.1316

Testing for epoch 30 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5939
16/16 [==============================] - 0s 2ms/step - loss: 5.1422
16/16 [==============================] - 0s 2ms/step - loss: 5.1422
16/16 [==============================] - 0s 2ms/step - loss: 5.1422
16/16 [==============================] - 0s 2ms/step - loss: 5.1422
16/16 [==============================] - 0s 2ms/step - loss: 5.1422
16/16 [==============================] - 0s 2ms/step - loss: 5.1422
16/16 [==============================] - 0s 2ms/step - loss: 5.1422
16/16 [==============================] - 0s 1ms/step - loss: 5.1422
16/16 [==============================] - 0s 2ms/step - loss: 5.1422

Testing for epoch 30 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6018
16/16 [==============================] - 0s 2ms/step - loss: 5.1632
16/16 [==============================] - 0s 2ms/step - loss: 5.1632
16/16 [==============================] - 0s 1ms/step - loss: 5.1632
16/16 [==============================] - 0s 2ms/step - loss: 5.1632
16/16 [==============================] - 0s 1ms/step - loss: 5.1632
16/16 [==============================] - 0s 3ms/step - loss: 5.1632
16/16 [==============================] - 0s 2ms/step - loss: 5.1632
16/16 [==============================] - 0s 2ms/step - loss: 5.1632
16/16 [==============================] - 0s 2ms/step - loss: 5.1632

Testing for epoch 30 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5845
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 2ms/step - loss: 5.1614
16/16 [==============================] - 0s 1ms/step - loss: 5.1614

Testing for epoch 30 index 7:
391/391 [==============================] - 0s 985us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5908
16/16 [==============================] - 0s 2ms/step - loss: 5.1826
16/16 [==============================] - 0s 3ms/step - loss: 5.1826
16/16 [==============================] - 0s 2ms/step - loss: 5.1826
16/16 [==============================] - 0s 2ms/step - loss: 5.1826
16/16 [==============================] - 0s 4ms/step - loss: 5.1826
16/16 [==============================] - 0s 2ms/step - loss: 5.1826
16/16 [==============================] - 0s 2ms/step - loss: 5.1826
16/16 [==============================] - 0s 4ms/step - loss: 5.1826
16/16 [==============================] - 0s 2ms/step - loss: 5.1826

Testing for epoch 30 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5561
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 4ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.1454

Testing for epoch 30 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.5696
16/16 [==============================] - 0s 2ms/step - loss: 5.1537
16/16 [==============================] - 0s 2ms/step - loss: 5.1537
16/16 [==============================] - 0s 2ms/step - loss: 5.1537
16/16 [==============================] - 0s 2ms/step - loss: 5.1537
16/16 [==============================] - 0s 1ms/step - loss: 5.1537
16/16 [==============================] - 0s 2ms/step - loss: 5.1537
16/16 [==============================] - 0s 1ms/step - loss: 5.1537
16/16 [==============================] - 0s 3ms/step - loss: 5.1537
16/16 [==============================] - 0s 3ms/step - loss: 5.1537

Testing for epoch 30 index 10:
391/391 [==============================] - 1s 3ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.5868
16/16 [==============================] - 0s 2ms/step - loss: 5.1461
16/16 [==============================] - 0s 2ms/step - loss: 5.1461
16/16 [==============================] - 0s 2ms/step - loss: 5.1461
16/16 [==============================] - 0s 3ms/step - loss: 5.1461
16/16 [==============================] - 0s 1ms/step - loss: 5.1461
16/16 [==============================] - 0s 2ms/step - loss: 5.1461
16/16 [==============================] - 0s 2ms/step - loss: 5.1461
16/16 [==============================] - 0s 2ms/step - loss: 5.1461
16/16 [==============================] - 0s 3ms/step - loss: 5.1461

Testing for epoch 30 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.6050
16/16 [==============================] - 0s 3ms/step - loss: 5.1479
16/16 [==============================] - 0s 2ms/step - loss: 5.1479
16/16 [==============================] - 0s 4ms/step - loss: 5.1479
16/16 [==============================] - 0s 2ms/step - loss: 5.1479
16/16 [==============================] - 0s 2ms/step - loss: 5.1479
16/16 [==============================] - 0s 2ms/step - loss: 5.1479
16/16 [==============================] - 0s 2ms/step - loss: 5.1479
16/16 [==============================] - 0s 2ms/step - loss: 5.1479
16/16 [==============================] - 0s 2ms/step - loss: 5.1479

Testing for epoch 30 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6166
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 2ms/step - loss: 5.1411
16/16 [==============================] - 0s 1ms/step - loss: 5.1411
16/16 [==============================] - 0s 2ms/step - loss: 5.1411

Testing for epoch 30 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6511
16/16 [==============================] - 0s 3ms/step - loss: 5.1694
16/16 [==============================] - 0s 2ms/step - loss: 5.1694
16/16 [==============================] - 0s 3ms/step - loss: 5.1694
16/16 [==============================] - 0s 2ms/step - loss: 5.1694
16/16 [==============================] - 0s 1ms/step - loss: 5.1694
16/16 [==============================] - 0s 1ms/step - loss: 5.1694
16/16 [==============================] - 0s 2ms/step - loss: 5.1694
16/16 [==============================] - 0s 2ms/step - loss: 5.1694
16/16 [==============================] - 0s 2ms/step - loss: 5.1694

Testing for epoch 30 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.6685
16/16 [==============================] - 0s 2ms/step - loss: 5.1767
16/16 [==============================] - 0s 2ms/step - loss: 5.1767
16/16 [==============================] - 0s 1ms/step - loss: 5.1767
16/16 [==============================] - 0s 2ms/step - loss: 5.1767
16/16 [==============================] - 0s 2ms/step - loss: 5.1767
16/16 [==============================] - 0s 2ms/step - loss: 5.1767
16/16 [==============================] - 0s 2ms/step - loss: 5.1767
16/16 [==============================] - 0s 2ms/step - loss: 5.1767
16/16 [==============================] - 0s 2ms/step - loss: 5.1767

Testing for epoch 30 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6624
16/16 [==============================] - 0s 1ms/step - loss: 5.1600
16/16 [==============================] - 0s 3ms/step - loss: 5.1600
16/16 [==============================] - 0s 1ms/step - loss: 5.1600
16/16 [==============================] - 0s 1ms/step - loss: 5.1600
16/16 [==============================] - 0s 2ms/step - loss: 5.1600
16/16 [==============================] - 0s 2ms/step - loss: 5.1600
16/16 [==============================] - 0s 2ms/step - loss: 5.1600
16/16 [==============================] - 0s 1ms/step - loss: 5.1600
16/16 [==============================] - 0s 2ms/step - loss: 5.1600

Testing for epoch 30 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6841
16/16 [==============================] - 0s 2ms/step - loss: 5.1832
16/16 [==============================] - 0s 1ms/step - loss: 5.1832
16/16 [==============================] - 0s 3ms/step - loss: 5.1832
16/16 [==============================] - 0s 2ms/step - loss: 5.1832
16/16 [==============================] - 0s 3ms/step - loss: 5.1832
16/16 [==============================] - 0s 2ms/step - loss: 5.1832
16/16 [==============================] - 0s 2ms/step - loss: 5.1832
16/16 [==============================] - 0s 3ms/step - loss: 5.1832
16/16 [==============================] - 0s 1ms/step - loss: 5.1832

Testing for epoch 30 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6811
16/16 [==============================] - 0s 3ms/step - loss: 5.1750
16/16 [==============================] - 0s 3ms/step - loss: 5.1750
16/16 [==============================] - 0s 2ms/step - loss: 5.1750
16/16 [==============================] - 0s 2ms/step - loss: 5.1750
16/16 [==============================] - 0s 2ms/step - loss: 5.1750
16/16 [==============================] - 0s 1ms/step - loss: 5.1750
16/16 [==============================] - 0s 2ms/step - loss: 5.1750
16/16 [==============================] - 0s 2ms/step - loss: 5.1750
16/16 [==============================] - 0s 2ms/step - loss: 5.1750

Testing for epoch 30 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6872
16/16 [==============================] - 0s 2ms/step - loss: 5.1836
16/16 [==============================] - 0s 3ms/step - loss: 5.1836
16/16 [==============================] - 0s 2ms/step - loss: 5.1836
16/16 [==============================] - 0s 2ms/step - loss: 5.1836
16/16 [==============================] - 0s 3ms/step - loss: 5.1836
16/16 [==============================] - 0s 1ms/step - loss: 5.1836
16/16 [==============================] - 0s 3ms/step - loss: 5.1836
16/16 [==============================] - 0s 3ms/step - loss: 5.1836
16/16 [==============================] - 0s 3ms/step - loss: 5.1836

Testing for epoch 30 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.6969
16/16 [==============================] - 0s 3ms/step - loss: 5.1942
16/16 [==============================] - 0s 3ms/step - loss: 5.1942
16/16 [==============================] - 0s 2ms/step - loss: 5.1942
16/16 [==============================] - 0s 3ms/step - loss: 5.1942
16/16 [==============================] - 0s 3ms/step - loss: 5.1942
16/16 [==============================] - 0s 3ms/step - loss: 5.1942
16/16 [==============================] - 0s 1ms/step - loss: 5.1942
16/16 [==============================] - 0s 2ms/step - loss: 5.1942
16/16 [==============================] - 0s 2ms/step - loss: 5.1942

Testing for epoch 30 index 20:
391/391 [==============================] - 0s 970us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6830
16/16 [==============================] - 0s 5ms/step - loss: 5.1742
16/16 [==============================] - 0s 2ms/step - loss: 5.1742
16/16 [==============================] - 0s 2ms/step - loss: 5.1742
16/16 [==============================] - 0s 2ms/step - loss: 5.1742
16/16 [==============================] - 0s 3ms/step - loss: 5.1742
16/16 [==============================] - 0s 2ms/step - loss: 5.1742
16/16 [==============================] - 0s 3ms/step - loss: 5.1742
16/16 [==============================] - 0s 2ms/step - loss: 5.1742
16/16 [==============================] - 0s 2ms/step - loss: 5.1742

Testing for epoch 30 index 21:
391/391 [==============================] - 0s 981us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.6912
16/16 [==============================] - 0s 2ms/step - loss: 5.1895
16/16 [==============================] - 0s 1ms/step - loss: 5.1895
16/16 [==============================] - 0s 977us/step - loss: 5.1895
16/16 [==============================] - 0s 960us/step - loss: 5.1895
16/16 [==============================] - 0s 937us/step - loss: 5.1895
16/16 [==============================] - 0s 904us/step - loss: 5.1895
16/16 [==============================] - 0s 921us/step - loss: 5.1895
16/16 [==============================] - 0s 943us/step - loss: 5.1895
16/16 [==============================] - 0s 950us/step - loss: 5.1895

Testing for epoch 30 index 22:
391/391 [==============================] - 0s 953us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6802
16/16 [==============================] - 0s 2ms/step - loss: 5.1764
16/16 [==============================] - 0s 2ms/step - loss: 5.1764
16/16 [==============================] - 0s 2ms/step - loss: 5.1764
16/16 [==============================] - 0s 1ms/step - loss: 5.1764
16/16 [==============================] - 0s 3ms/step - loss: 5.1764
16/16 [==============================] - 0s 3ms/step - loss: 5.1764
16/16 [==============================] - 0s 991us/step - loss: 5.1764
16/16 [==============================] - 0s 2ms/step - loss: 5.1764
16/16 [==============================] - 0s 2ms/step - loss: 5.1764

Testing for epoch 30 index 23:
391/391 [==============================] - 0s 999us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.7010
16/16 [==============================] - 0s 1ms/step - loss: 5.2072
16/16 [==============================] - 0s 834us/step - loss: 5.2072
16/16 [==============================] - 0s 4ms/step - loss: 5.2072
16/16 [==============================] - 0s 1ms/step - loss: 5.2072
16/16 [==============================] - 0s 806us/step - loss: 5.2072
16/16 [==============================] - 0s 839us/step - loss: 5.2072
16/16 [==============================] - 0s 810us/step - loss: 5.2072
16/16 [==============================] - 0s 830us/step - loss: 5.2072
16/16 [==============================] - 0s 2ms/step - loss: 5.2072

Testing for epoch 30 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6997
16/16 [==============================] - 0s 815us/step - loss: 5.2145
16/16 [==============================] - 0s 2ms/step - loss: 5.2145
16/16 [==============================] - 0s 840us/step - loss: 5.2145
16/16 [==============================] - 0s 800us/step - loss: 5.2145
16/16 [==============================] - 0s 841us/step - loss: 5.2145
16/16 [==============================] - 0s 5ms/step - loss: 5.2145
16/16 [==============================] - 0s 3ms/step - loss: 5.2145
16/16 [==============================] - 0s 4ms/step - loss: 5.2145
16/16 [==============================] - 0s 2ms/step - loss: 5.2145
Epoch 31 of 60

Testing for epoch 31 index 1:
391/391 [==============================] - 0s 694us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6879
16/16 [==============================] - 0s 979us/step - loss: 5.2041
16/16 [==============================] - 0s 1ms/step - loss: 5.2041
16/16 [==============================] - 0s 1ms/step - loss: 5.2041
16/16 [==============================] - 0s 963us/step - loss: 5.2041
16/16 [==============================] - 0s 922us/step - loss: 5.2041
16/16 [==============================] - 0s 782us/step - loss: 5.2041
16/16 [==============================] - 0s 1ms/step - loss: 5.2041
16/16 [==============================] - 0s 2ms/step - loss: 5.2041
16/16 [==============================] - 0s 1ms/step - loss: 5.2041

Testing for epoch 31 index 2:
391/391 [==============================] - 0s 609us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6880
16/16 [==============================] - 0s 889us/step - loss: 5.2148
16/16 [==============================] - 0s 872us/step - loss: 5.2148
16/16 [==============================] - 0s 871us/step - loss: 5.2148
16/16 [==============================] - 0s 842us/step - loss: 5.2148
16/16 [==============================] - 0s 868us/step - loss: 5.2148
16/16 [==============================] - 0s 4ms/step - loss: 5.2148
16/16 [==============================] - 0s 3ms/step - loss: 5.2148
16/16 [==============================] - 0s 3ms/step - loss: 5.2148
16/16 [==============================] - 0s 2ms/step - loss: 5.2148

Testing for epoch 31 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.6676
16/16 [==============================] - 0s 5ms/step - loss: 5.1965
16/16 [==============================] - 0s 4ms/step - loss: 5.1965
16/16 [==============================] - 0s 2ms/step - loss: 5.1965
16/16 [==============================] - 0s 2ms/step - loss: 5.1965
16/16 [==============================] - 0s 2ms/step - loss: 5.1965
16/16 [==============================] - 0s 3ms/step - loss: 5.1965
16/16 [==============================] - 0s 2ms/step - loss: 5.1965
16/16 [==============================] - 0s 5ms/step - loss: 5.1965
16/16 [==============================] - 0s 5ms/step - loss: 5.1965

Testing for epoch 31 index 4:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.6705
16/16 [==============================] - 0s 2ms/step - loss: 5.2126
16/16 [==============================] - 0s 8ms/step - loss: 5.2126
16/16 [==============================] - 0s 5ms/step - loss: 5.2126
16/16 [==============================] - 0s 2ms/step - loss: 5.2126
16/16 [==============================] - 0s 5ms/step - loss: 5.2126
16/16 [==============================] - 0s 1ms/step - loss: 5.2126
16/16 [==============================] - 0s 1ms/step - loss: 5.2126
16/16 [==============================] - 0s 892us/step - loss: 5.2126
16/16 [==============================] - 0s 2ms/step - loss: 5.2126

Testing for epoch 31 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6621
16/16 [==============================] - 0s 2ms/step - loss: 5.2167
16/16 [==============================] - 0s 2ms/step - loss: 5.2167
16/16 [==============================] - 0s 2ms/step - loss: 5.2167
16/16 [==============================] - 0s 2ms/step - loss: 5.2167
16/16 [==============================] - 0s 2ms/step - loss: 5.2167
16/16 [==============================] - 0s 1ms/step - loss: 5.2167
16/16 [==============================] - 0s 1ms/step - loss: 5.2167
16/16 [==============================] - 0s 2ms/step - loss: 5.2167
16/16 [==============================] - 0s 2ms/step - loss: 5.2167

Testing for epoch 31 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6564
16/16 [==============================] - 0s 2ms/step - loss: 5.2207
16/16 [==============================] - 0s 2ms/step - loss: 5.2207
16/16 [==============================] - 0s 2ms/step - loss: 5.2207
16/16 [==============================] - 0s 3ms/step - loss: 5.2207
16/16 [==============================] - 0s 1ms/step - loss: 5.2207
16/16 [==============================] - 0s 1ms/step - loss: 5.2207
16/16 [==============================] - 0s 2ms/step - loss: 5.2207
16/16 [==============================] - 0s 2ms/step - loss: 5.2207
16/16 [==============================] - 0s 2ms/step - loss: 5.2207

Testing for epoch 31 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6406
16/16 [==============================] - 0s 2ms/step - loss: 5.2109
16/16 [==============================] - 0s 1ms/step - loss: 5.2109
16/16 [==============================] - 0s 3ms/step - loss: 5.2109
16/16 [==============================] - 0s 2ms/step - loss: 5.2109
16/16 [==============================] - 0s 2ms/step - loss: 5.2109
16/16 [==============================] - 0s 2ms/step - loss: 5.2109
16/16 [==============================] - 0s 3ms/step - loss: 5.2109
16/16 [==============================] - 0s 2ms/step - loss: 5.2109
16/16 [==============================] - 0s 1ms/step - loss: 5.2109

Testing for epoch 31 index 8:
391/391 [==============================] - 0s 958us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6269
16/16 [==============================] - 0s 2ms/step - loss: 5.2092
16/16 [==============================] - 0s 3ms/step - loss: 5.2092
16/16 [==============================] - 0s 2ms/step - loss: 5.2092
16/16 [==============================] - 0s 3ms/step - loss: 5.2092
16/16 [==============================] - 0s 1ms/step - loss: 5.2092
16/16 [==============================] - 0s 2ms/step - loss: 5.2092
16/16 [==============================] - 0s 2ms/step - loss: 5.2092
16/16 [==============================] - 0s 2ms/step - loss: 5.2092
16/16 [==============================] - 0s 3ms/step - loss: 5.2092

Testing for epoch 31 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6351
16/16 [==============================] - 0s 3ms/step - loss: 5.2090
16/16 [==============================] - 0s 2ms/step - loss: 5.2090
16/16 [==============================] - 0s 2ms/step - loss: 5.2090
16/16 [==============================] - 0s 2ms/step - loss: 5.2090
16/16 [==============================] - 0s 3ms/step - loss: 5.2090
16/16 [==============================] - 0s 1ms/step - loss: 5.2090
16/16 [==============================] - 0s 1ms/step - loss: 5.2090
16/16 [==============================] - 0s 3ms/step - loss: 5.2090
16/16 [==============================] - 0s 2ms/step - loss: 5.2090

Testing for epoch 31 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.6669
16/16 [==============================] - 0s 2ms/step - loss: 5.2142
16/16 [==============================] - 0s 3ms/step - loss: 5.2142
16/16 [==============================] - 0s 3ms/step - loss: 5.2142
16/16 [==============================] - 0s 2ms/step - loss: 5.2142
16/16 [==============================] - 0s 2ms/step - loss: 5.2142
16/16 [==============================] - 0s 1ms/step - loss: 5.2142
16/16 [==============================] - 0s 1ms/step - loss: 5.2142
16/16 [==============================] - 0s 2ms/step - loss: 5.2142
16/16 [==============================] - 0s 2ms/step - loss: 5.2142

Testing for epoch 31 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.6983
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 3ms/step - loss: 5.2383
16/16 [==============================] - 0s 1ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 1ms/step - loss: 5.2383
16/16 [==============================] - 0s 1ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 1ms/step - loss: 5.2383

Testing for epoch 31 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7124
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 1ms/step - loss: 5.2383
16/16 [==============================] - 0s 1ms/step - loss: 5.2383
16/16 [==============================] - 0s 1ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383

Testing for epoch 31 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7062
16/16 [==============================] - 0s 2ms/step - loss: 5.2181
16/16 [==============================] - 0s 2ms/step - loss: 5.2181
16/16 [==============================] - 0s 3ms/step - loss: 5.2181
16/16 [==============================] - 0s 2ms/step - loss: 5.2181
16/16 [==============================] - 0s 4ms/step - loss: 5.2181
16/16 [==============================] - 0s 2ms/step - loss: 5.2181
16/16 [==============================] - 0s 1ms/step - loss: 5.2181
16/16 [==============================] - 0s 3ms/step - loss: 5.2181
16/16 [==============================] - 0s 3ms/step - loss: 5.2181

Testing for epoch 31 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7293
16/16 [==============================] - 0s 2ms/step - loss: 5.2330
16/16 [==============================] - 0s 2ms/step - loss: 5.2330
16/16 [==============================] - 0s 1ms/step - loss: 5.2330
16/16 [==============================] - 0s 2ms/step - loss: 5.2330
16/16 [==============================] - 0s 1ms/step - loss: 5.2330
16/16 [==============================] - 0s 1ms/step - loss: 5.2330
16/16 [==============================] - 0s 2ms/step - loss: 5.2330
16/16 [==============================] - 0s 1ms/step - loss: 5.2330
16/16 [==============================] - 0s 2ms/step - loss: 5.2330

Testing for epoch 31 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7333
16/16 [==============================] - 0s 2ms/step - loss: 5.2278
16/16 [==============================] - 0s 1ms/step - loss: 5.2278
16/16 [==============================] - 0s 4ms/step - loss: 5.2278
16/16 [==============================] - 0s 3ms/step - loss: 5.2278
16/16 [==============================] - 0s 3ms/step - loss: 5.2278
16/16 [==============================] - 0s 1ms/step - loss: 5.2278
16/16 [==============================] - 0s 2ms/step - loss: 5.2278
16/16 [==============================] - 0s 3ms/step - loss: 5.2278
16/16 [==============================] - 0s 3ms/step - loss: 5.2278

Testing for epoch 31 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.7359
16/16 [==============================] - 0s 2ms/step - loss: 5.2256
16/16 [==============================] - 0s 4ms/step - loss: 5.2256
16/16 [==============================] - 0s 3ms/step - loss: 5.2256
16/16 [==============================] - 0s 3ms/step - loss: 5.2256
16/16 [==============================] - 0s 3ms/step - loss: 5.2256
16/16 [==============================] - 0s 1ms/step - loss: 5.2256
16/16 [==============================] - 0s 2ms/step - loss: 5.2256
16/16 [==============================] - 0s 3ms/step - loss: 5.2256
16/16 [==============================] - 0s 2ms/step - loss: 5.2256

Testing for epoch 31 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7365
16/16 [==============================] - 0s 2ms/step - loss: 5.2234
16/16 [==============================] - 0s 1ms/step - loss: 5.2234
16/16 [==============================] - 0s 2ms/step - loss: 5.2234
16/16 [==============================] - 0s 4ms/step - loss: 5.2234
16/16 [==============================] - 0s 2ms/step - loss: 5.2234
16/16 [==============================] - 0s 4ms/step - loss: 5.2234
16/16 [==============================] - 0s 2ms/step - loss: 5.2234
16/16 [==============================] - 0s 2ms/step - loss: 5.2234
16/16 [==============================] - 0s 2ms/step - loss: 5.2234

Testing for epoch 31 index 18:
391/391 [==============================] - 0s 924us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.7509
16/16 [==============================] - 0s 3ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 3ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383
16/16 [==============================] - 0s 4ms/step - loss: 5.2383
16/16 [==============================] - 0s 2ms/step - loss: 5.2383

Testing for epoch 31 index 19:
391/391 [==============================] - 0s 987us/step
16/16 [==============================] - 0s 5ms/step - loss: 4.7571
16/16 [==============================] - 0s 2ms/step - loss: 5.2456
16/16 [==============================] - 0s 2ms/step - loss: 5.2456
16/16 [==============================] - 0s 2ms/step - loss: 5.2456
16/16 [==============================] - 0s 2ms/step - loss: 5.2456
16/16 [==============================] - 0s 2ms/step - loss: 5.2456
16/16 [==============================] - 0s 3ms/step - loss: 5.2456
16/16 [==============================] - 0s 1ms/step - loss: 5.2456
16/16 [==============================] - 0s 4ms/step - loss: 5.2456
16/16 [==============================] - 0s 3ms/step - loss: 5.2456

Testing for epoch 31 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.7456
16/16 [==============================] - 0s 2ms/step - loss: 5.2298
16/16 [==============================] - 0s 2ms/step - loss: 5.2298
16/16 [==============================] - 0s 4ms/step - loss: 5.2298
16/16 [==============================] - 0s 2ms/step - loss: 5.2298
16/16 [==============================] - 0s 2ms/step - loss: 5.2298
16/16 [==============================] - 0s 1ms/step - loss: 5.2298
16/16 [==============================] - 0s 2ms/step - loss: 5.2298
16/16 [==============================] - 0s 2ms/step - loss: 5.2298
16/16 [==============================] - 0s 3ms/step - loss: 5.2298

Testing for epoch 31 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7383
16/16 [==============================] - 0s 1ms/step - loss: 5.2237
16/16 [==============================] - 0s 2ms/step - loss: 5.2237
16/16 [==============================] - 0s 1ms/step - loss: 5.2237
16/16 [==============================] - 0s 3ms/step - loss: 5.2237
16/16 [==============================] - 0s 2ms/step - loss: 5.2237
16/16 [==============================] - 0s 2ms/step - loss: 5.2237
16/16 [==============================] - 0s 1ms/step - loss: 5.2237
16/16 [==============================] - 0s 2ms/step - loss: 5.2237
16/16 [==============================] - 0s 3ms/step - loss: 5.2237

Testing for epoch 31 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.7315
16/16 [==============================] - 0s 2ms/step - loss: 5.2147
16/16 [==============================] - 0s 2ms/step - loss: 5.2147
16/16 [==============================] - 0s 5ms/step - loss: 5.2147
16/16 [==============================] - 0s 2ms/step - loss: 5.2147
16/16 [==============================] - 0s 2ms/step - loss: 5.2147
16/16 [==============================] - 0s 2ms/step - loss: 5.2147
16/16 [==============================] - 0s 1ms/step - loss: 5.2147
16/16 [==============================] - 0s 2ms/step - loss: 5.2147
16/16 [==============================] - 0s 2ms/step - loss: 5.2147

Testing for epoch 31 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.7491
16/16 [==============================] - 0s 2ms/step - loss: 5.2476
16/16 [==============================] - 0s 3ms/step - loss: 5.2476
16/16 [==============================] - 0s 2ms/step - loss: 5.2476
16/16 [==============================] - 0s 3ms/step - loss: 5.2476
16/16 [==============================] - 0s 1ms/step - loss: 5.2476
16/16 [==============================] - 0s 2ms/step - loss: 5.2476
16/16 [==============================] - 0s 2ms/step - loss: 5.2476
16/16 [==============================] - 0s 3ms/step - loss: 5.2476
16/16 [==============================] - 0s 1ms/step - loss: 5.2476

Testing for epoch 31 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.7689
16/16 [==============================] - 0s 2ms/step - loss: 5.2783
16/16 [==============================] - 0s 2ms/step - loss: 5.2783
16/16 [==============================] - 0s 3ms/step - loss: 5.2783
16/16 [==============================] - 0s 1ms/step - loss: 5.2783
16/16 [==============================] - 0s 2ms/step - loss: 5.2783
16/16 [==============================] - 0s 3ms/step - loss: 5.2783
16/16 [==============================] - 0s 2ms/step - loss: 5.2783
16/16 [==============================] - 0s 2ms/step - loss: 5.2783
16/16 [==============================] - 0s 2ms/step - loss: 5.2783
Epoch 32 of 60

Testing for epoch 32 index 1:
391/391 [==============================] - 0s 961us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7395
16/16 [==============================] - 0s 2ms/step - loss: 5.2472
16/16 [==============================] - 0s 5ms/step - loss: 5.2472
16/16 [==============================] - 0s 4ms/step - loss: 5.2472
16/16 [==============================] - 0s 2ms/step - loss: 5.2472
16/16 [==============================] - 0s 2ms/step - loss: 5.2472
16/16 [==============================] - 0s 1ms/step - loss: 5.2472
16/16 [==============================] - 0s 2ms/step - loss: 5.2472
16/16 [==============================] - 0s 4ms/step - loss: 5.2472
16/16 [==============================] - 0s 2ms/step - loss: 5.2472

Testing for epoch 32 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7275
16/16 [==============================] - 0s 2ms/step - loss: 5.2405
16/16 [==============================] - 0s 3ms/step - loss: 5.2405
16/16 [==============================] - 0s 3ms/step - loss: 5.2405
16/16 [==============================] - 0s 2ms/step - loss: 5.2405
16/16 [==============================] - 0s 1ms/step - loss: 5.2405
16/16 [==============================] - 0s 2ms/step - loss: 5.2405
16/16 [==============================] - 0s 2ms/step - loss: 5.2405
16/16 [==============================] - 0s 2ms/step - loss: 5.2405
16/16 [==============================] - 0s 2ms/step - loss: 5.2405

Testing for epoch 32 index 3:
391/391 [==============================] - 0s 947us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.7285
16/16 [==============================] - 0s 1ms/step - loss: 5.2447
16/16 [==============================] - 0s 2ms/step - loss: 5.2447
16/16 [==============================] - 0s 3ms/step - loss: 5.2447
16/16 [==============================] - 0s 2ms/step - loss: 5.2447
16/16 [==============================] - 0s 3ms/step - loss: 5.2447
16/16 [==============================] - 0s 1ms/step - loss: 5.2447
16/16 [==============================] - 0s 1ms/step - loss: 5.2447
16/16 [==============================] - 0s 4ms/step - loss: 5.2447
16/16 [==============================] - 0s 2ms/step - loss: 5.2447

Testing for epoch 32 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.7440
16/16 [==============================] - 0s 2ms/step - loss: 5.2768
16/16 [==============================] - 0s 2ms/step - loss: 5.2768
16/16 [==============================] - 0s 2ms/step - loss: 5.2768
16/16 [==============================] - 0s 2ms/step - loss: 5.2768
16/16 [==============================] - 0s 1ms/step - loss: 5.2768
16/16 [==============================] - 0s 2ms/step - loss: 5.2768
16/16 [==============================] - 0s 2ms/step - loss: 5.2768
16/16 [==============================] - 0s 2ms/step - loss: 5.2768
16/16 [==============================] - 0s 2ms/step - loss: 5.2768

Testing for epoch 32 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.7084
16/16 [==============================] - 0s 3ms/step - loss: 5.2493
16/16 [==============================] - 0s 1ms/step - loss: 5.2493
16/16 [==============================] - 0s 2ms/step - loss: 5.2493
16/16 [==============================] - 0s 2ms/step - loss: 5.2493
16/16 [==============================] - 0s 2ms/step - loss: 5.2493
16/16 [==============================] - 0s 2ms/step - loss: 5.2493
16/16 [==============================] - 0s 2ms/step - loss: 5.2493
16/16 [==============================] - 0s 2ms/step - loss: 5.2493
16/16 [==============================] - 0s 2ms/step - loss: 5.2493

Testing for epoch 32 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7082
16/16 [==============================] - 0s 3ms/step - loss: 5.2568
16/16 [==============================] - 0s 2ms/step - loss: 5.2568
16/16 [==============================] - 0s 2ms/step - loss: 5.2568
16/16 [==============================] - 0s 2ms/step - loss: 5.2568
16/16 [==============================] - 0s 2ms/step - loss: 5.2568
16/16 [==============================] - 0s 3ms/step - loss: 5.2568
16/16 [==============================] - 0s 2ms/step - loss: 5.2568
16/16 [==============================] - 0s 2ms/step - loss: 5.2568
16/16 [==============================] - 0s 2ms/step - loss: 5.2568

Testing for epoch 32 index 7:
391/391 [==============================] - 1s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.6930
16/16 [==============================] - 0s 2ms/step - loss: 5.2462
16/16 [==============================] - 0s 2ms/step - loss: 5.2462
16/16 [==============================] - 0s 2ms/step - loss: 5.2462
16/16 [==============================] - 0s 4ms/step - loss: 5.2462
16/16 [==============================] - 0s 3ms/step - loss: 5.2462
16/16 [==============================] - 0s 2ms/step - loss: 5.2462
16/16 [==============================] - 0s 2ms/step - loss: 5.2462
16/16 [==============================] - 0s 1ms/step - loss: 5.2462
16/16 [==============================] - 0s 2ms/step - loss: 5.2462

Testing for epoch 32 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.7061
16/16 [==============================] - 0s 2ms/step - loss: 5.2804
16/16 [==============================] - 0s 3ms/step - loss: 5.2804
16/16 [==============================] - 0s 1ms/step - loss: 5.2804
16/16 [==============================] - 0s 2ms/step - loss: 5.2804
16/16 [==============================] - 0s 1ms/step - loss: 5.2804
16/16 [==============================] - 0s 2ms/step - loss: 5.2804
16/16 [==============================] - 0s 2ms/step - loss: 5.2804
16/16 [==============================] - 0s 2ms/step - loss: 5.2804
16/16 [==============================] - 0s 2ms/step - loss: 5.2804

Testing for epoch 32 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.7093
16/16 [==============================] - 0s 2ms/step - loss: 5.2706
16/16 [==============================] - 0s 2ms/step - loss: 5.2706
16/16 [==============================] - 0s 2ms/step - loss: 5.2706
16/16 [==============================] - 0s 1ms/step - loss: 5.2706
16/16 [==============================] - 0s 2ms/step - loss: 5.2706
16/16 [==============================] - 0s 3ms/step - loss: 5.2706
16/16 [==============================] - 0s 2ms/step - loss: 5.2706
16/16 [==============================] - 0s 2ms/step - loss: 5.2706
16/16 [==============================] - 0s 4ms/step - loss: 5.2706

Testing for epoch 32 index 10:
391/391 [==============================] - 0s 989us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7295
16/16 [==============================] - 0s 3ms/step - loss: 5.2746
16/16 [==============================] - 0s 2ms/step - loss: 5.2746
16/16 [==============================] - 0s 3ms/step - loss: 5.2746
16/16 [==============================] - 0s 2ms/step - loss: 5.2746
16/16 [==============================] - 0s 2ms/step - loss: 5.2746
16/16 [==============================] - 0s 2ms/step - loss: 5.2746
16/16 [==============================] - 0s 2ms/step - loss: 5.2746
16/16 [==============================] - 0s 1ms/step - loss: 5.2746
16/16 [==============================] - 0s 2ms/step - loss: 5.2746

Testing for epoch 32 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.7416
16/16 [==============================] - 0s 1ms/step - loss: 5.2700
16/16 [==============================] - 0s 2ms/step - loss: 5.2700
16/16 [==============================] - 0s 2ms/step - loss: 5.2700
16/16 [==============================] - 0s 2ms/step - loss: 5.2700
16/16 [==============================] - 0s 1ms/step - loss: 5.2700
16/16 [==============================] - 0s 1ms/step - loss: 5.2700
16/16 [==============================] - 0s 2ms/step - loss: 5.2700
16/16 [==============================] - 0s 2ms/step - loss: 5.2700
16/16 [==============================] - 0s 5ms/step - loss: 5.2700

Testing for epoch 32 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.2821
16/16 [==============================] - 0s 2ms/step - loss: 5.2821
16/16 [==============================] - 0s 3ms/step - loss: 5.2821
16/16 [==============================] - 0s 4ms/step - loss: 5.2821
16/16 [==============================] - 0s 2ms/step - loss: 5.2821
16/16 [==============================] - 0s 2ms/step - loss: 5.2821
16/16 [==============================] - 0s 4ms/step - loss: 5.2821
16/16 [==============================] - 0s 2ms/step - loss: 5.2821
16/16 [==============================] - 0s 2ms/step - loss: 5.2821

Testing for epoch 32 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7649
16/16 [==============================] - 0s 1ms/step - loss: 5.2663
16/16 [==============================] - 0s 3ms/step - loss: 5.2663
16/16 [==============================] - 0s 4ms/step - loss: 5.2663
16/16 [==============================] - 0s 2ms/step - loss: 5.2663
16/16 [==============================] - 0s 5ms/step - loss: 5.2663
16/16 [==============================] - 0s 3ms/step - loss: 5.2663
16/16 [==============================] - 0s 1ms/step - loss: 5.2663
16/16 [==============================] - 0s 2ms/step - loss: 5.2663
16/16 [==============================] - 0s 2ms/step - loss: 5.2663

Testing for epoch 32 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7740
16/16 [==============================] - 0s 2ms/step - loss: 5.2652
16/16 [==============================] - 0s 1ms/step - loss: 5.2652
16/16 [==============================] - 0s 3ms/step - loss: 5.2652
16/16 [==============================] - 0s 2ms/step - loss: 5.2652
16/16 [==============================] - 0s 3ms/step - loss: 5.2652
16/16 [==============================] - 0s 5ms/step - loss: 5.2652
16/16 [==============================] - 0s 3ms/step - loss: 5.2652
16/16 [==============================] - 0s 5ms/step - loss: 5.2652
16/16 [==============================] - 0s 3ms/step - loss: 5.2652

Testing for epoch 32 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.8073
16/16 [==============================] - 0s 2ms/step - loss: 5.3011
16/16 [==============================] - 0s 2ms/step - loss: 5.3011
16/16 [==============================] - 0s 2ms/step - loss: 5.3011
16/16 [==============================] - 0s 5ms/step - loss: 5.3011
16/16 [==============================] - 0s 2ms/step - loss: 5.3011
16/16 [==============================] - 0s 2ms/step - loss: 5.3011
16/16 [==============================] - 0s 2ms/step - loss: 5.3011
16/16 [==============================] - 0s 1ms/step - loss: 5.3011
16/16 [==============================] - 0s 2ms/step - loss: 5.3011

Testing for epoch 32 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8032
16/16 [==============================] - 0s 1ms/step - loss: 5.2871
16/16 [==============================] - 0s 3ms/step - loss: 5.2871
16/16 [==============================] - 0s 3ms/step - loss: 5.2871
16/16 [==============================] - 0s 4ms/step - loss: 5.2871
16/16 [==============================] - 0s 2ms/step - loss: 5.2871
16/16 [==============================] - 0s 3ms/step - loss: 5.2871
16/16 [==============================] - 0s 3ms/step - loss: 5.2871
16/16 [==============================] - 0s 3ms/step - loss: 5.2871
16/16 [==============================] - 0s 2ms/step - loss: 5.2871

Testing for epoch 32 index 17:
391/391 [==============================] - 0s 957us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8163
16/16 [==============================] - 0s 3ms/step - loss: 5.3020
16/16 [==============================] - 0s 2ms/step - loss: 5.3020
16/16 [==============================] - 0s 2ms/step - loss: 5.3020
16/16 [==============================] - 0s 2ms/step - loss: 5.3020
16/16 [==============================] - 0s 1ms/step - loss: 5.3020
16/16 [==============================] - 0s 2ms/step - loss: 5.3020
16/16 [==============================] - 0s 4ms/step - loss: 5.3020
16/16 [==============================] - 0s 3ms/step - loss: 5.3020
16/16 [==============================] - 0s 2ms/step - loss: 5.3020

Testing for epoch 32 index 18:
391/391 [==============================] - 0s 956us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.7970
16/16 [==============================] - 0s 1ms/step - loss: 5.2755
16/16 [==============================] - 0s 2ms/step - loss: 5.2755
16/16 [==============================] - 0s 2ms/step - loss: 5.2755
16/16 [==============================] - 0s 2ms/step - loss: 5.2755
16/16 [==============================] - 0s 2ms/step - loss: 5.2755
16/16 [==============================] - 0s 1ms/step - loss: 5.2755
16/16 [==============================] - 0s 2ms/step - loss: 5.2755
16/16 [==============================] - 0s 2ms/step - loss: 5.2755
16/16 [==============================] - 0s 2ms/step - loss: 5.2755

Testing for epoch 32 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8113
16/16 [==============================] - 0s 2ms/step - loss: 5.2932
16/16 [==============================] - 0s 1ms/step - loss: 5.2932
16/16 [==============================] - 0s 763us/step - loss: 5.2932
16/16 [==============================] - 0s 769us/step - loss: 5.2932
16/16 [==============================] - 0s 884us/step - loss: 5.2932
16/16 [==============================] - 0s 860us/step - loss: 5.2932
16/16 [==============================] - 0s 916us/step - loss: 5.2932
16/16 [==============================] - 0s 874us/step - loss: 5.2932
16/16 [==============================] - 0s 2ms/step - loss: 5.2932

Testing for epoch 32 index 20:
391/391 [==============================] - 0s 705us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8045
16/16 [==============================] - 0s 730us/step - loss: 5.2865
16/16 [==============================] - 0s 5ms/step - loss: 5.2865
16/16 [==============================] - 0s 810us/step - loss: 5.2865
16/16 [==============================] - 0s 832us/step - loss: 5.2865
16/16 [==============================] - 0s 925us/step - loss: 5.2865
16/16 [==============================] - 0s 2ms/step - loss: 5.2865
16/16 [==============================] - 0s 800us/step - loss: 5.2865
16/16 [==============================] - 0s 803us/step - loss: 5.2865
16/16 [==============================] - 0s 839us/step - loss: 5.2865

Testing for epoch 32 index 21:
391/391 [==============================] - 0s 662us/step
16/16 [==============================] - 0s 901us/step - loss: 4.8094
16/16 [==============================] - 0s 860us/step - loss: 5.2916
16/16 [==============================] - 0s 882us/step - loss: 5.2916
16/16 [==============================] - 0s 825us/step - loss: 5.2916
16/16 [==============================] - 0s 830us/step - loss: 5.2916
16/16 [==============================] - 0s 837us/step - loss: 5.2916
16/16 [==============================] - 0s 1ms/step - loss: 5.2916
16/16 [==============================] - 0s 1ms/step - loss: 5.2916
16/16 [==============================] - 0s 851us/step - loss: 5.2916
16/16 [==============================] - 0s 1ms/step - loss: 5.2916

Testing for epoch 32 index 22:
391/391 [==============================] - 0s 745us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.8005
16/16 [==============================] - 0s 840us/step - loss: 5.2834
16/16 [==============================] - 0s 967us/step - loss: 5.2834
16/16 [==============================] - 0s 1ms/step - loss: 5.2834
16/16 [==============================] - 0s 961us/step - loss: 5.2834
16/16 [==============================] - 0s 1ms/step - loss: 5.2834
16/16 [==============================] - 0s 819us/step - loss: 5.2834
16/16 [==============================] - 0s 823us/step - loss: 5.2834
16/16 [==============================] - 0s 838us/step - loss: 5.2834
16/16 [==============================] - 0s 1ms/step - loss: 5.2834

Testing for epoch 32 index 23:
391/391 [==============================] - 0s 586us/step
16/16 [==============================] - 0s 837us/step - loss: 4.8023
16/16 [==============================] - 0s 830us/step - loss: 5.2894
16/16 [==============================] - 0s 815us/step - loss: 5.2894
16/16 [==============================] - 0s 833us/step - loss: 5.2894
16/16 [==============================] - 0s 813us/step - loss: 5.2894
16/16 [==============================] - 0s 818us/step - loss: 5.2894
16/16 [==============================] - 0s 826us/step - loss: 5.2894
16/16 [==============================] - 0s 795us/step - loss: 5.2894
16/16 [==============================] - 0s 812us/step - loss: 5.2894
16/16 [==============================] - 0s 673us/step - loss: 5.2894

Testing for epoch 32 index 24:
391/391 [==============================] - 0s 673us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.8039
16/16 [==============================] - 0s 776us/step - loss: 5.3028
16/16 [==============================] - 0s 782us/step - loss: 5.3028
16/16 [==============================] - 0s 839us/step - loss: 5.3028
16/16 [==============================] - 0s 1ms/step - loss: 5.3028
16/16 [==============================] - 0s 1ms/step - loss: 5.3028
16/16 [==============================] - 0s 2ms/step - loss: 5.3028
16/16 [==============================] - 0s 1ms/step - loss: 5.3028
16/16 [==============================] - 0s 2ms/step - loss: 5.3028
16/16 [==============================] - 0s 2ms/step - loss: 5.3028
Epoch 33 of 60

Testing for epoch 33 index 1:
391/391 [==============================] - 0s 527us/step
16/16 [==============================] - 0s 829us/step - loss: 4.8000
16/16 [==============================] - 0s 842us/step - loss: 5.3024
16/16 [==============================] - 0s 2ms/step - loss: 5.3024
16/16 [==============================] - 0s 685us/step - loss: 5.3024
16/16 [==============================] - 0s 825us/step - loss: 5.3024
16/16 [==============================] - 0s 903us/step - loss: 5.3024
16/16 [==============================] - 0s 825us/step - loss: 5.3024
16/16 [==============================] - 0s 898us/step - loss: 5.3024
16/16 [==============================] - 0s 870us/step - loss: 5.3024
16/16 [==============================] - 0s 879us/step - loss: 5.3024

Testing for epoch 33 index 2:
391/391 [==============================] - 0s 739us/step
16/16 [==============================] - 0s 861us/step - loss: 4.7785
16/16 [==============================] - 0s 847us/step - loss: 5.2759
16/16 [==============================] - 0s 833us/step - loss: 5.2759
16/16 [==============================] - 0s 992us/step - loss: 5.2759
16/16 [==============================] - 0s 1000us/step - loss: 5.2759
16/16 [==============================] - 0s 988us/step - loss: 5.2759
16/16 [==============================] - 0s 994us/step - loss: 5.2759
16/16 [==============================] - 0s 1ms/step - loss: 5.2759
16/16 [==============================] - 0s 1ms/step - loss: 5.2759
16/16 [==============================] - 0s 801us/step - loss: 5.2759

Testing for epoch 33 index 3:
391/391 [==============================] - 0s 617us/step
16/16 [==============================] - 0s 849us/step - loss: 4.7899
16/16 [==============================] - 0s 824us/step - loss: 5.3010
16/16 [==============================] - 0s 849us/step - loss: 5.3010
16/16 [==============================] - 0s 833us/step - loss: 5.3010
16/16 [==============================] - 0s 817us/step - loss: 5.3010
16/16 [==============================] - 0s 812us/step - loss: 5.3010
16/16 [==============================] - 0s 919us/step - loss: 5.3010
16/16 [==============================] - 0s 959us/step - loss: 5.3010
16/16 [==============================] - 0s 955us/step - loss: 5.3010
16/16 [==============================] - 0s 928us/step - loss: 5.3010

Testing for epoch 33 index 4:
391/391 [==============================] - 0s 611us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7980
16/16 [==============================] - 0s 2ms/step - loss: 5.3248
16/16 [==============================] - 0s 793us/step - loss: 5.3248
16/16 [==============================] - 0s 2ms/step - loss: 5.3248
16/16 [==============================] - 0s 825us/step - loss: 5.3248
16/16 [==============================] - 0s 825us/step - loss: 5.3248
16/16 [==============================] - 0s 820us/step - loss: 5.3248
16/16 [==============================] - 0s 865us/step - loss: 5.3248
16/16 [==============================] - 0s 686us/step - loss: 5.3248
16/16 [==============================] - 0s 2ms/step - loss: 5.3248

Testing for epoch 33 index 5:
391/391 [==============================] - 0s 593us/step
16/16 [==============================] - 0s 825us/step - loss: 4.7718
16/16 [==============================] - 0s 822us/step - loss: 5.2971
16/16 [==============================] - 0s 770us/step - loss: 5.2971
16/16 [==============================] - 0s 759us/step - loss: 5.2971
16/16 [==============================] - 0s 811us/step - loss: 5.2971
16/16 [==============================] - 0s 876us/step - loss: 5.2971
16/16 [==============================] - 0s 789us/step - loss: 5.2971
16/16 [==============================] - 0s 812us/step - loss: 5.2971
16/16 [==============================] - 0s 1ms/step - loss: 5.2971
16/16 [==============================] - 0s 693us/step - loss: 5.2971

Testing for epoch 33 index 6:
391/391 [==============================] - 0s 595us/step
16/16 [==============================] - 0s 844us/step - loss: 4.7858
16/16 [==============================] - 0s 877us/step - loss: 5.3290
16/16 [==============================] - 0s 1ms/step - loss: 5.3290
16/16 [==============================] - 0s 993us/step - loss: 5.3290
16/16 [==============================] - 0s 990us/step - loss: 5.3290
16/16 [==============================] - 0s 1ms/step - loss: 5.3290
16/16 [==============================] - 0s 1ms/step - loss: 5.3290
16/16 [==============================] - 0s 999us/step - loss: 5.3290
16/16 [==============================] - 0s 985us/step - loss: 5.3290
16/16 [==============================] - 0s 1ms/step - loss: 5.3290

Testing for epoch 33 index 7:
391/391 [==============================] - 0s 682us/step
16/16 [==============================] - 0s 969us/step - loss: 4.7534
16/16 [==============================] - 0s 2ms/step - loss: 5.2963
16/16 [==============================] - 0s 869us/step - loss: 5.2963
16/16 [==============================] - 0s 979us/step - loss: 5.2963
16/16 [==============================] - 0s 1ms/step - loss: 5.2963
16/16 [==============================] - 0s 1ms/step - loss: 5.2963
16/16 [==============================] - 0s 940us/step - loss: 5.2963
16/16 [==============================] - 0s 893us/step - loss: 5.2963
16/16 [==============================] - 0s 870us/step - loss: 5.2963
16/16 [==============================] - 0s 913us/step - loss: 5.2963

Testing for epoch 33 index 8:
391/391 [==============================] - 0s 595us/step
16/16 [==============================] - 0s 830us/step - loss: 4.7404
16/16 [==============================] - 0s 803us/step - loss: 5.2924
16/16 [==============================] - 0s 2ms/step - loss: 5.2924
16/16 [==============================] - 0s 788us/step - loss: 5.2924
16/16 [==============================] - 0s 791us/step - loss: 5.2924
16/16 [==============================] - 0s 2ms/step - loss: 5.2924
16/16 [==============================] - 0s 825us/step - loss: 5.2924
16/16 [==============================] - 0s 821us/step - loss: 5.2924
16/16 [==============================] - 0s 802us/step - loss: 5.2924
16/16 [==============================] - 0s 817us/step - loss: 5.2924

Testing for epoch 33 index 9:
391/391 [==============================] - 0s 676us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.7515
16/16 [==============================] - 0s 828us/step - loss: 5.2958
16/16 [==============================] - 0s 894us/step - loss: 5.2958
16/16 [==============================] - 0s 2ms/step - loss: 5.2958
16/16 [==============================] - 0s 792us/step - loss: 5.2958
16/16 [==============================] - 0s 823us/step - loss: 5.2958
16/16 [==============================] - 0s 2ms/step - loss: 5.2958
16/16 [==============================] - 0s 784us/step - loss: 5.2958
16/16 [==============================] - 0s 1ms/step - loss: 5.2958
16/16 [==============================] - 0s 822us/step - loss: 5.2958

Testing for epoch 33 index 10:
391/391 [==============================] - 0s 784us/step
16/16 [==============================] - 0s 871us/step - loss: 4.7868
16/16 [==============================] - 0s 827us/step - loss: 5.3179
16/16 [==============================] - 0s 845us/step - loss: 5.3179
16/16 [==============================] - 0s 818us/step - loss: 5.3179
16/16 [==============================] - 0s 1ms/step - loss: 5.3179
16/16 [==============================] - 0s 910us/step - loss: 5.3179
16/16 [==============================] - 0s 940us/step - loss: 5.3179
16/16 [==============================] - 0s 983us/step - loss: 5.3179
16/16 [==============================] - 0s 1000us/step - loss: 5.3179
16/16 [==============================] - 0s 1ms/step - loss: 5.3179

Testing for epoch 33 index 11:
391/391 [==============================] - 0s 614us/step
16/16 [==============================] - 0s 875us/step - loss: 4.8091
16/16 [==============================] - 0s 861us/step - loss: 5.3293
16/16 [==============================] - 0s 834us/step - loss: 5.3293
16/16 [==============================] - 0s 835us/step - loss: 5.3293
16/16 [==============================] - 0s 810us/step - loss: 5.3293
16/16 [==============================] - 0s 817us/step - loss: 5.3293
16/16 [==============================] - 0s 805us/step - loss: 5.3293
16/16 [==============================] - 0s 799us/step - loss: 5.3293
16/16 [==============================] - 0s 819us/step - loss: 5.3293
16/16 [==============================] - 0s 877us/step - loss: 5.3293

Testing for epoch 33 index 12:
391/391 [==============================] - 0s 588us/step
16/16 [==============================] - 0s 915us/step - loss: 4.8244
16/16 [==============================] - 0s 810us/step - loss: 5.3336
16/16 [==============================] - 0s 812us/step - loss: 5.3336
16/16 [==============================] - 0s 797us/step - loss: 5.3336
16/16 [==============================] - 0s 721us/step - loss: 5.3336
16/16 [==============================] - 0s 849us/step - loss: 5.3336
16/16 [==============================] - 0s 821us/step - loss: 5.3336
16/16 [==============================] - 0s 810us/step - loss: 5.3336
16/16 [==============================] - 0s 807us/step - loss: 5.3336
16/16 [==============================] - 0s 827us/step - loss: 5.3336

Testing for epoch 33 index 13:
391/391 [==============================] - 0s 706us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8255
16/16 [==============================] - 0s 1ms/step - loss: 5.3176
16/16 [==============================] - 0s 830us/step - loss: 5.3176
16/16 [==============================] - 0s 1ms/step - loss: 5.3176
16/16 [==============================] - 0s 815us/step - loss: 5.3176
16/16 [==============================] - 0s 2ms/step - loss: 5.3176
16/16 [==============================] - 0s 831us/step - loss: 5.3176
16/16 [==============================] - 0s 2ms/step - loss: 5.3176
16/16 [==============================] - 0s 817us/step - loss: 5.3176
16/16 [==============================] - 0s 850us/step - loss: 5.3176

Testing for epoch 33 index 14:
391/391 [==============================] - 0s 706us/step
16/16 [==============================] - 0s 784us/step - loss: 4.8372
16/16 [==============================] - 0s 756us/step - loss: 5.3219
16/16 [==============================] - 0s 900us/step - loss: 5.3219
16/16 [==============================] - 0s 836us/step - loss: 5.3219
16/16 [==============================] - 0s 843us/step - loss: 5.3219
16/16 [==============================] - 0s 876us/step - loss: 5.3219
16/16 [==============================] - 0s 869us/step - loss: 5.3219
16/16 [==============================] - 0s 868us/step - loss: 5.3219
16/16 [==============================] - 0s 889us/step - loss: 5.3219
16/16 [==============================] - 0s 822us/step - loss: 5.3219

Testing for epoch 33 index 15:
391/391 [==============================] - 0s 596us/step
16/16 [==============================] - 0s 896us/step - loss: 4.8554
16/16 [==============================] - 0s 839us/step - loss: 5.3399
16/16 [==============================] - 0s 895us/step - loss: 5.3399
16/16 [==============================] - 0s 857us/step - loss: 5.3399
16/16 [==============================] - 0s 874us/step - loss: 5.3399
16/16 [==============================] - 0s 839us/step - loss: 5.3399
16/16 [==============================] - 0s 851us/step - loss: 5.3399
16/16 [==============================] - 0s 933us/step - loss: 5.3399
16/16 [==============================] - 0s 866us/step - loss: 5.3399
16/16 [==============================] - 0s 872us/step - loss: 5.3399

Testing for epoch 33 index 16:
391/391 [==============================] - 0s 667us/step
16/16 [==============================] - 0s 933us/step - loss: 4.8778
16/16 [==============================] - 0s 925us/step - loss: 5.3648
16/16 [==============================] - 0s 868us/step - loss: 5.3648
16/16 [==============================] - 0s 846us/step - loss: 5.3648
16/16 [==============================] - 0s 836us/step - loss: 5.3648
16/16 [==============================] - 0s 936us/step - loss: 5.3648
16/16 [==============================] - 0s 925us/step - loss: 5.3648
16/16 [==============================] - 0s 853us/step - loss: 5.3648
16/16 [==============================] - 0s 840us/step - loss: 5.3648
16/16 [==============================] - 0s 813us/step - loss: 5.3648

Testing for epoch 33 index 17:
391/391 [==============================] - 0s 814us/step
16/16 [==============================] - 0s 808us/step - loss: 4.8460
16/16 [==============================] - 0s 797us/step - loss: 5.3170
16/16 [==============================] - 0s 803us/step - loss: 5.3170
16/16 [==============================] - 0s 635us/step - loss: 5.3170
16/16 [==============================] - 0s 805us/step - loss: 5.3170
16/16 [==============================] - 0s 1ms/step - loss: 5.3170
16/16 [==============================] - 0s 2ms/step - loss: 5.3170
16/16 [==============================] - 0s 671us/step - loss: 5.3170
16/16 [==============================] - 0s 785us/step - loss: 5.3170
16/16 [==============================] - 0s 848us/step - loss: 5.3170

Testing for epoch 33 index 18:
391/391 [==============================] - 0s 744us/step
16/16 [==============================] - 0s 850us/step - loss: 4.8904
16/16 [==============================] - 0s 1ms/step - loss: 5.3741
16/16 [==============================] - 0s 3ms/step - loss: 5.3741
16/16 [==============================] - 0s 723us/step - loss: 5.3741
16/16 [==============================] - 0s 791us/step - loss: 5.3741
16/16 [==============================] - 0s 852us/step - loss: 5.3741
16/16 [==============================] - 0s 879us/step - loss: 5.3741
16/16 [==============================] - 0s 874us/step - loss: 5.3741
16/16 [==============================] - 0s 854us/step - loss: 5.3741
16/16 [==============================] - 0s 946us/step - loss: 5.3741

Testing for epoch 33 index 19:
391/391 [==============================] - 0s 641us/step
16/16 [==============================] - 0s 858us/step - loss: 4.8532
16/16 [==============================] - 0s 850us/step - loss: 5.3237
16/16 [==============================] - 0s 862us/step - loss: 5.3237
16/16 [==============================] - 0s 761us/step - loss: 5.3237
16/16 [==============================] - 0s 823us/step - loss: 5.3237
16/16 [==============================] - 0s 841us/step - loss: 5.3237
16/16 [==============================] - 0s 880us/step - loss: 5.3237
16/16 [==============================] - 0s 937us/step - loss: 5.3237
16/16 [==============================] - 0s 912us/step - loss: 5.3237
16/16 [==============================] - 0s 754us/step - loss: 5.3237

Testing for epoch 33 index 20:
391/391 [==============================] - 0s 636us/step
16/16 [==============================] - 0s 742us/step - loss: 4.8660
16/16 [==============================] - 0s 1ms/step - loss: 5.3429
16/16 [==============================] - 0s 930us/step - loss: 5.3429
16/16 [==============================] - 0s 2ms/step - loss: 5.3429
16/16 [==============================] - 0s 694us/step - loss: 5.3429
16/16 [==============================] - 0s 689us/step - loss: 5.3429
16/16 [==============================] - 0s 704us/step - loss: 5.3429
16/16 [==============================] - 0s 707us/step - loss: 5.3429
16/16 [==============================] - 0s 1ms/step - loss: 5.3429
16/16 [==============================] - 0s 682us/step - loss: 5.3429

Testing for epoch 33 index 21:
391/391 [==============================] - 0s 637us/step
16/16 [==============================] - 0s 834us/step - loss: 4.8628
16/16 [==============================] - 0s 706us/step - loss: 5.3376
16/16 [==============================] - 0s 817us/step - loss: 5.3376
16/16 [==============================] - 0s 788us/step - loss: 5.3376
16/16 [==============================] - 0s 805us/step - loss: 5.3376
16/16 [==============================] - 0s 792us/step - loss: 5.3376
16/16 [==============================] - 0s 858us/step - loss: 5.3376
16/16 [==============================] - 0s 777us/step - loss: 5.3376
16/16 [==============================] - 0s 1ms/step - loss: 5.3376
16/16 [==============================] - 0s 671us/step - loss: 5.3376

Testing for epoch 33 index 22:
391/391 [==============================] - 0s 957us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8667
16/16 [==============================] - 0s 1ms/step - loss: 5.3484
16/16 [==============================] - 0s 793us/step - loss: 5.3484
16/16 [==============================] - 0s 808us/step - loss: 5.3484
16/16 [==============================] - 0s 2ms/step - loss: 5.3484
16/16 [==============================] - 0s 1ms/step - loss: 5.3484
16/16 [==============================] - 0s 881us/step - loss: 5.3484
16/16 [==============================] - 0s 910us/step - loss: 5.3484
16/16 [==============================] - 0s 946us/step - loss: 5.3484
16/16 [==============================] - 0s 848us/step - loss: 5.3484

Testing for epoch 33 index 23:
391/391 [==============================] - 0s 586us/step
16/16 [==============================] - 0s 922us/step - loss: 4.8559
16/16 [==============================] - 0s 867us/step - loss: 5.3350
16/16 [==============================] - 0s 814us/step - loss: 5.3350
16/16 [==============================] - 0s 834us/step - loss: 5.3350
16/16 [==============================] - 0s 800us/step - loss: 5.3350
16/16 [==============================] - 0s 821us/step - loss: 5.3350
16/16 [==============================] - 0s 828us/step - loss: 5.3350
16/16 [==============================] - 0s 1ms/step - loss: 5.3350
16/16 [==============================] - 0s 1ms/step - loss: 5.3350
16/16 [==============================] - 0s 977us/step - loss: 5.3350

Testing for epoch 33 index 24:
391/391 [==============================] - 0s 591us/step
16/16 [==============================] - 0s 812us/step - loss: 4.8540
16/16 [==============================] - 0s 793us/step - loss: 5.3290
16/16 [==============================] - 0s 793us/step - loss: 5.3290
16/16 [==============================] - 0s 815us/step - loss: 5.3290
16/16 [==============================] - 0s 800us/step - loss: 5.3290
16/16 [==============================] - 0s 806us/step - loss: 5.3290
16/16 [==============================] - 0s 808us/step - loss: 5.3290
16/16 [==============================] - 0s 797us/step - loss: 5.3290
16/16 [==============================] - 0s 821us/step - loss: 5.3290
16/16 [==============================] - 0s 928us/step - loss: 5.3290
Epoch 34 of 60

Testing for epoch 34 index 1:
391/391 [==============================] - 0s 588us/step
16/16 [==============================] - 0s 826us/step - loss: 4.8443
16/16 [==============================] - 0s 787us/step - loss: 5.3337
16/16 [==============================] - 0s 902us/step - loss: 5.3337
16/16 [==============================] - 0s 843us/step - loss: 5.3337
16/16 [==============================] - 0s 2ms/step - loss: 5.3337
16/16 [==============================] - 0s 2ms/step - loss: 5.3337
16/16 [==============================] - 0s 2ms/step - loss: 5.3337
16/16 [==============================] - 0s 788us/step - loss: 5.3337
16/16 [==============================] - 0s 832us/step - loss: 5.3337
16/16 [==============================] - 0s 832us/step - loss: 5.3337

Testing for epoch 34 index 2:
391/391 [==============================] - 0s 684us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.8372
16/16 [==============================] - 0s 859us/step - loss: 5.3252
16/16 [==============================] - 0s 809us/step - loss: 5.3252
16/16 [==============================] - 0s 818us/step - loss: 5.3252
16/16 [==============================] - 0s 766us/step - loss: 5.3252
16/16 [==============================] - 0s 2ms/step - loss: 5.3252
16/16 [==============================] - 0s 2ms/step - loss: 5.3252
16/16 [==============================] - 0s 818us/step - loss: 5.3252
16/16 [==============================] - 0s 781us/step - loss: 5.3252
16/16 [==============================] - 0s 2ms/step - loss: 5.3252

Testing for epoch 34 index 3:
391/391 [==============================] - 0s 745us/step
16/16 [==============================] - 0s 1ms/step - loss: 4.8503
16/16 [==============================] - 0s 1ms/step - loss: 5.3548
16/16 [==============================] - 0s 812us/step - loss: 5.3548
16/16 [==============================] - 0s 830us/step - loss: 5.3548
16/16 [==============================] - 0s 844us/step - loss: 5.3548
16/16 [==============================] - 0s 813us/step - loss: 5.3548
16/16 [==============================] - 0s 837us/step - loss: 5.3548
16/16 [==============================] - 0s 830us/step - loss: 5.3548
16/16 [==============================] - 0s 816us/step - loss: 5.3548
16/16 [==============================] - 0s 852us/step - loss: 5.3548

Testing for epoch 34 index 4:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 892us/step - loss: 4.8362
16/16 [==============================] - 0s 889us/step - loss: 5.3436
16/16 [==============================] - 0s 894us/step - loss: 5.3436
16/16 [==============================] - 0s 970us/step - loss: 5.3436
16/16 [==============================] - 0s 1ms/step - loss: 5.3436
16/16 [==============================] - 0s 993us/step - loss: 5.3436
16/16 [==============================] - 0s 952us/step - loss: 5.3436
16/16 [==============================] - 0s 959us/step - loss: 5.3436
16/16 [==============================] - 0s 945us/step - loss: 5.3436
16/16 [==============================] - 0s 866us/step - loss: 5.3436

Testing for epoch 34 index 5:
391/391 [==============================] - 1s 3ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8278
16/16 [==============================] - 0s 2ms/step - loss: 5.3459
16/16 [==============================] - 0s 2ms/step - loss: 5.3459
16/16 [==============================] - 0s 4ms/step - loss: 5.3459
16/16 [==============================] - 0s 1ms/step - loss: 5.3459
16/16 [==============================] - 0s 1ms/step - loss: 5.3459
16/16 [==============================] - 0s 2ms/step - loss: 5.3459
16/16 [==============================] - 0s 6ms/step - loss: 5.3459
16/16 [==============================] - 0s 8ms/step - loss: 5.3459
16/16 [==============================] - 0s 7ms/step - loss: 5.3459

Testing for epoch 34 index 6:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.8276
16/16 [==============================] - 0s 2ms/step - loss: 5.3541
16/16 [==============================] - 0s 3ms/step - loss: 5.3541
16/16 [==============================] - 0s 2ms/step - loss: 5.3541
16/16 [==============================] - 0s 4ms/step - loss: 5.3541
16/16 [==============================] - 0s 2ms/step - loss: 5.3541
16/16 [==============================] - 0s 2ms/step - loss: 5.3541
16/16 [==============================] - 0s 4ms/step - loss: 5.3541
16/16 [==============================] - 0s 2ms/step - loss: 5.3541
16/16 [==============================] - 0s 2ms/step - loss: 5.3541

Testing for epoch 34 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.8429
16/16 [==============================] - 0s 2ms/step - loss: 5.3874
16/16 [==============================] - 0s 2ms/step - loss: 5.3874
16/16 [==============================] - 0s 2ms/step - loss: 5.3874
16/16 [==============================] - 0s 1ms/step - loss: 5.3874
16/16 [==============================] - 0s 1ms/step - loss: 5.3874
16/16 [==============================] - 0s 2ms/step - loss: 5.3874
16/16 [==============================] - 0s 2ms/step - loss: 5.3874
16/16 [==============================] - 0s 2ms/step - loss: 5.3874
16/16 [==============================] - 0s 3ms/step - loss: 5.3874

Testing for epoch 34 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8266
16/16 [==============================] - 0s 2ms/step - loss: 5.3752
16/16 [==============================] - 0s 2ms/step - loss: 5.3752
16/16 [==============================] - 0s 2ms/step - loss: 5.3752
16/16 [==============================] - 0s 5ms/step - loss: 5.3752
16/16 [==============================] - 0s 5ms/step - loss: 5.3752
16/16 [==============================] - 0s 2ms/step - loss: 5.3752
16/16 [==============================] - 0s 2ms/step - loss: 5.3752
16/16 [==============================] - 0s 2ms/step - loss: 5.3752
16/16 [==============================] - 0s 2ms/step - loss: 5.3752

Testing for epoch 34 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8304
16/16 [==============================] - 0s 8ms/step - loss: 5.3684
16/16 [==============================] - 0s 5ms/step - loss: 5.3684
16/16 [==============================] - 0s 2ms/step - loss: 5.3684
16/16 [==============================] - 0s 2ms/step - loss: 5.3684
16/16 [==============================] - 0s 1ms/step - loss: 5.3684
16/16 [==============================] - 0s 1ms/step - loss: 5.3684
16/16 [==============================] - 0s 2ms/step - loss: 5.3684
16/16 [==============================] - 0s 4ms/step - loss: 5.3684
16/16 [==============================] - 0s 2ms/step - loss: 5.3684

Testing for epoch 34 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.8472
16/16 [==============================] - 0s 2ms/step - loss: 5.3673
16/16 [==============================] - 0s 3ms/step - loss: 5.3673
16/16 [==============================] - 0s 2ms/step - loss: 5.3673
16/16 [==============================] - 0s 3ms/step - loss: 5.3673
16/16 [==============================] - 0s 2ms/step - loss: 5.3673
16/16 [==============================] - 0s 3ms/step - loss: 5.3673
16/16 [==============================] - 0s 2ms/step - loss: 5.3673
16/16 [==============================] - 0s 4ms/step - loss: 5.3673
16/16 [==============================] - 0s 3ms/step - loss: 5.3673

Testing for epoch 34 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.8551
16/16 [==============================] - 0s 4ms/step - loss: 5.3625
16/16 [==============================] - 0s 2ms/step - loss: 5.3625
16/16 [==============================] - 0s 2ms/step - loss: 5.3625
16/16 [==============================] - 0s 2ms/step - loss: 5.3625
16/16 [==============================] - 0s 2ms/step - loss: 5.3625
16/16 [==============================] - 0s 5ms/step - loss: 5.3625
16/16 [==============================] - 0s 2ms/step - loss: 5.3625
16/16 [==============================] - 0s 2ms/step - loss: 5.3625
16/16 [==============================] - 0s 2ms/step - loss: 5.3625

Testing for epoch 34 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.8763
16/16 [==============================] - 0s 2ms/step - loss: 5.3798
16/16 [==============================] - 0s 2ms/step - loss: 5.3798
16/16 [==============================] - 0s 6ms/step - loss: 5.3798
16/16 [==============================] - 0s 4ms/step - loss: 5.3798
16/16 [==============================] - 0s 3ms/step - loss: 5.3798
16/16 [==============================] - 0s 2ms/step - loss: 5.3798
16/16 [==============================] - 0s 3ms/step - loss: 5.3798
16/16 [==============================] - 0s 1ms/step - loss: 5.3798
16/16 [==============================] - 0s 2ms/step - loss: 5.3798

Testing for epoch 34 index 13:
391/391 [==============================] - 0s 701us/step
16/16 [==============================] - 0s 805us/step - loss: 4.8827
16/16 [==============================] - 0s 890us/step - loss: 5.3695
16/16 [==============================] - 0s 845us/step - loss: 5.3695
16/16 [==============================] - 0s 846us/step - loss: 5.3695
16/16 [==============================] - 0s 2ms/step - loss: 5.3695
16/16 [==============================] - 0s 838us/step - loss: 5.3695
16/16 [==============================] - 0s 3ms/step - loss: 5.3695
16/16 [==============================] - 0s 1ms/step - loss: 5.3695
16/16 [==============================] - 0s 865us/step - loss: 5.3695
16/16 [==============================] - 0s 1ms/step - loss: 5.3695

Testing for epoch 34 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8869
16/16 [==============================] - 0s 2ms/step - loss: 5.3618
16/16 [==============================] - 0s 1ms/step - loss: 5.3618
16/16 [==============================] - 0s 3ms/step - loss: 5.3618
16/16 [==============================] - 0s 2ms/step - loss: 5.3618
16/16 [==============================] - 0s 2ms/step - loss: 5.3618
16/16 [==============================] - 0s 2ms/step - loss: 5.3618
16/16 [==============================] - 0s 2ms/step - loss: 5.3618
16/16 [==============================] - 0s 4ms/step - loss: 5.3618
16/16 [==============================] - 0s 2ms/step - loss: 5.3618

Testing for epoch 34 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9150
16/16 [==============================] - 0s 1ms/step - loss: 5.3944
16/16 [==============================] - 0s 2ms/step - loss: 5.3944
16/16 [==============================] - 0s 2ms/step - loss: 5.3944
16/16 [==============================] - 0s 2ms/step - loss: 5.3944
16/16 [==============================] - 0s 2ms/step - loss: 5.3944
16/16 [==============================] - 0s 3ms/step - loss: 5.3944
16/16 [==============================] - 0s 2ms/step - loss: 5.3944
16/16 [==============================] - 0s 2ms/step - loss: 5.3944
16/16 [==============================] - 0s 2ms/step - loss: 5.3944

Testing for epoch 34 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.8956
16/16 [==============================] - 0s 3ms/step - loss: 5.3630
16/16 [==============================] - 0s 5ms/step - loss: 5.3630
16/16 [==============================] - 0s 2ms/step - loss: 5.3630
16/16 [==============================] - 0s 2ms/step - loss: 5.3630
16/16 [==============================] - 0s 2ms/step - loss: 5.3630
16/16 [==============================] - 0s 2ms/step - loss: 5.3630
16/16 [==============================] - 0s 2ms/step - loss: 5.3630
16/16 [==============================] - 0s 2ms/step - loss: 5.3630
16/16 [==============================] - 0s 2ms/step - loss: 5.3630

Testing for epoch 34 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9186
16/16 [==============================] - 0s 3ms/step - loss: 5.3868
16/16 [==============================] - 0s 2ms/step - loss: 5.3868
16/16 [==============================] - 0s 3ms/step - loss: 5.3868
16/16 [==============================] - 0s 3ms/step - loss: 5.3868
16/16 [==============================] - 0s 2ms/step - loss: 5.3868
16/16 [==============================] - 0s 2ms/step - loss: 5.3868
16/16 [==============================] - 0s 2ms/step - loss: 5.3868
16/16 [==============================] - 0s 2ms/step - loss: 5.3868
16/16 [==============================] - 0s 2ms/step - loss: 5.3868

Testing for epoch 34 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9037
16/16 [==============================] - 0s 2ms/step - loss: 5.3697
16/16 [==============================] - 0s 2ms/step - loss: 5.3697
16/16 [==============================] - 0s 2ms/step - loss: 5.3697
16/16 [==============================] - 0s 2ms/step - loss: 5.3697
16/16 [==============================] - 0s 3ms/step - loss: 5.3697
16/16 [==============================] - 0s 2ms/step - loss: 5.3697
16/16 [==============================] - 0s 2ms/step - loss: 5.3697
16/16 [==============================] - 0s 2ms/step - loss: 5.3697
16/16 [==============================] - 0s 2ms/step - loss: 5.3697

Testing for epoch 34 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9054
16/16 [==============================] - 0s 2ms/step - loss: 5.3689
16/16 [==============================] - 0s 2ms/step - loss: 5.3689
16/16 [==============================] - 0s 3ms/step - loss: 5.3689
16/16 [==============================] - 0s 2ms/step - loss: 5.3689
16/16 [==============================] - 0s 5ms/step - loss: 5.3689
16/16 [==============================] - 0s 1ms/step - loss: 5.3689
16/16 [==============================] - 0s 2ms/step - loss: 5.3689
16/16 [==============================] - 0s 2ms/step - loss: 5.3689
16/16 [==============================] - 0s 3ms/step - loss: 5.3689

Testing for epoch 34 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9315
16/16 [==============================] - 0s 2ms/step - loss: 5.4003
16/16 [==============================] - 0s 2ms/step - loss: 5.4003
16/16 [==============================] - 0s 2ms/step - loss: 5.4003
16/16 [==============================] - 0s 2ms/step - loss: 5.4003
16/16 [==============================] - 0s 3ms/step - loss: 5.4003
16/16 [==============================] - 0s 2ms/step - loss: 5.4003
16/16 [==============================] - 0s 2ms/step - loss: 5.4003
16/16 [==============================] - 0s 4ms/step - loss: 5.4003
16/16 [==============================] - 0s 2ms/step - loss: 5.4003

Testing for epoch 34 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9246
16/16 [==============================] - 0s 2ms/step - loss: 5.3979
16/16 [==============================] - 0s 2ms/step - loss: 5.3979
16/16 [==============================] - 0s 2ms/step - loss: 5.3979
16/16 [==============================] - 0s 2ms/step - loss: 5.3979
16/16 [==============================] - 0s 2ms/step - loss: 5.3979
16/16 [==============================] - 0s 1ms/step - loss: 5.3979
16/16 [==============================] - 0s 2ms/step - loss: 5.3979
16/16 [==============================] - 0s 3ms/step - loss: 5.3979
16/16 [==============================] - 0s 2ms/step - loss: 5.3979

Testing for epoch 34 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9207
16/16 [==============================] - 0s 2ms/step - loss: 5.3919
16/16 [==============================] - 0s 4ms/step - loss: 5.3919
16/16 [==============================] - 0s 2ms/step - loss: 5.3919
16/16 [==============================] - 0s 1ms/step - loss: 5.3919
16/16 [==============================] - 0s 1ms/step - loss: 5.3919
16/16 [==============================] - 0s 3ms/step - loss: 5.3919
16/16 [==============================] - 0s 2ms/step - loss: 5.3919
16/16 [==============================] - 0s 2ms/step - loss: 5.3919
16/16 [==============================] - 0s 3ms/step - loss: 5.3919

Testing for epoch 34 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.3773
16/16 [==============================] - 0s 1ms/step - loss: 5.3773
16/16 [==============================] - 0s 2ms/step - loss: 5.3773
16/16 [==============================] - 0s 2ms/step - loss: 5.3773
16/16 [==============================] - 0s 3ms/step - loss: 5.3773
16/16 [==============================] - 0s 1ms/step - loss: 5.3773
16/16 [==============================] - 0s 2ms/step - loss: 5.3773
16/16 [==============================] - 0s 2ms/step - loss: 5.3773
16/16 [==============================] - 0s 2ms/step - loss: 5.3773

Testing for epoch 34 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9054
16/16 [==============================] - 0s 2ms/step - loss: 5.3759
16/16 [==============================] - 0s 2ms/step - loss: 5.3759
16/16 [==============================] - 0s 3ms/step - loss: 5.3759
16/16 [==============================] - 0s 2ms/step - loss: 5.3759
16/16 [==============================] - 0s 2ms/step - loss: 5.3759
16/16 [==============================] - 0s 1ms/step - loss: 5.3759
16/16 [==============================] - 0s 2ms/step - loss: 5.3759
16/16 [==============================] - 0s 2ms/step - loss: 5.3759
16/16 [==============================] - 0s 2ms/step - loss: 5.3759
Epoch 35 of 60

Testing for epoch 35 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8992
16/16 [==============================] - 0s 3ms/step - loss: 5.3810
16/16 [==============================] - 0s 2ms/step - loss: 5.3810
16/16 [==============================] - 0s 2ms/step - loss: 5.3810
16/16 [==============================] - 0s 3ms/step - loss: 5.3810
16/16 [==============================] - 0s 2ms/step - loss: 5.3810
16/16 [==============================] - 0s 2ms/step - loss: 5.3810
16/16 [==============================] - 0s 2ms/step - loss: 5.3810
16/16 [==============================] - 0s 4ms/step - loss: 5.3810
16/16 [==============================] - 0s 3ms/step - loss: 5.3810

Testing for epoch 35 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9085
16/16 [==============================] - 0s 3ms/step - loss: 5.3951
16/16 [==============================] - 0s 1ms/step - loss: 5.3951
16/16 [==============================] - 0s 3ms/step - loss: 5.3951
16/16 [==============================] - 0s 3ms/step - loss: 5.3951
16/16 [==============================] - 0s 3ms/step - loss: 5.3951
16/16 [==============================] - 0s 3ms/step - loss: 5.3951
16/16 [==============================] - 0s 2ms/step - loss: 5.3951
16/16 [==============================] - 0s 2ms/step - loss: 5.3951
16/16 [==============================] - 0s 1ms/step - loss: 5.3951

Testing for epoch 35 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9205
16/16 [==============================] - 0s 4ms/step - loss: 5.4247
16/16 [==============================] - 0s 1ms/step - loss: 5.4247
16/16 [==============================] - 0s 3ms/step - loss: 5.4247
16/16 [==============================] - 0s 2ms/step - loss: 5.4247
16/16 [==============================] - 0s 3ms/step - loss: 5.4247
16/16 [==============================] - 0s 2ms/step - loss: 5.4247
16/16 [==============================] - 0s 3ms/step - loss: 5.4247
16/16 [==============================] - 0s 4ms/step - loss: 5.4247
16/16 [==============================] - 0s 4ms/step - loss: 5.4247

Testing for epoch 35 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8973
16/16 [==============================] - 0s 2ms/step - loss: 5.3943
16/16 [==============================] - 0s 2ms/step - loss: 5.3943
16/16 [==============================] - 0s 3ms/step - loss: 5.3943
16/16 [==============================] - 0s 2ms/step - loss: 5.3943
16/16 [==============================] - 0s 2ms/step - loss: 5.3943
16/16 [==============================] - 0s 2ms/step - loss: 5.3943
16/16 [==============================] - 0s 2ms/step - loss: 5.3943
16/16 [==============================] - 0s 2ms/step - loss: 5.3943
16/16 [==============================] - 0s 2ms/step - loss: 5.3943

Testing for epoch 35 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.8980
16/16 [==============================] - 0s 2ms/step - loss: 5.4058
16/16 [==============================] - 0s 3ms/step - loss: 5.4058
16/16 [==============================] - 0s 2ms/step - loss: 5.4058
16/16 [==============================] - 0s 3ms/step - loss: 5.4058
16/16 [==============================] - 0s 2ms/step - loss: 5.4058
16/16 [==============================] - 0s 3ms/step - loss: 5.4058
16/16 [==============================] - 0s 2ms/step - loss: 5.4058
16/16 [==============================] - 0s 2ms/step - loss: 5.4058
16/16 [==============================] - 0s 3ms/step - loss: 5.4058

Testing for epoch 35 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8771
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887
16/16 [==============================] - 0s 2ms/step - loss: 5.3887

Testing for epoch 35 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8878
16/16 [==============================] - 0s 2ms/step - loss: 5.4132
16/16 [==============================] - 0s 2ms/step - loss: 5.4132
16/16 [==============================] - 0s 2ms/step - loss: 5.4132
16/16 [==============================] - 0s 2ms/step - loss: 5.4132
16/16 [==============================] - 0s 1ms/step - loss: 5.4132
16/16 [==============================] - 0s 1ms/step - loss: 5.4132
16/16 [==============================] - 0s 2ms/step - loss: 5.4132
16/16 [==============================] - 0s 3ms/step - loss: 5.4132
16/16 [==============================] - 0s 2ms/step - loss: 5.4132

Testing for epoch 35 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8681
16/16 [==============================] - 0s 4ms/step - loss: 5.3995
16/16 [==============================] - 0s 3ms/step - loss: 5.3995
16/16 [==============================] - 0s 3ms/step - loss: 5.3995
16/16 [==============================] - 0s 2ms/step - loss: 5.3995
16/16 [==============================] - 0s 2ms/step - loss: 5.3995
16/16 [==============================] - 0s 3ms/step - loss: 5.3995
16/16 [==============================] - 0s 2ms/step - loss: 5.3995
16/16 [==============================] - 0s 3ms/step - loss: 5.3995
16/16 [==============================] - 0s 4ms/step - loss: 5.3995

Testing for epoch 35 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8839
16/16 [==============================] - 0s 2ms/step - loss: 5.4137
16/16 [==============================] - 0s 2ms/step - loss: 5.4137
16/16 [==============================] - 0s 2ms/step - loss: 5.4137
16/16 [==============================] - 0s 2ms/step - loss: 5.4137
16/16 [==============================] - 0s 2ms/step - loss: 5.4137
16/16 [==============================] - 0s 2ms/step - loss: 5.4137
16/16 [==============================] - 0s 2ms/step - loss: 5.4137
16/16 [==============================] - 0s 4ms/step - loss: 5.4137
16/16 [==============================] - 0s 2ms/step - loss: 5.4137

Testing for epoch 35 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.8768
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.3789

Testing for epoch 35 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9037
16/16 [==============================] - 0s 4ms/step - loss: 5.3975
16/16 [==============================] - 0s 2ms/step - loss: 5.3975
16/16 [==============================] - 0s 2ms/step - loss: 5.3975
16/16 [==============================] - 0s 2ms/step - loss: 5.3975
16/16 [==============================] - 0s 2ms/step - loss: 5.3975
16/16 [==============================] - 0s 2ms/step - loss: 5.3975
16/16 [==============================] - 0s 1ms/step - loss: 5.3975
16/16 [==============================] - 0s 2ms/step - loss: 5.3975
16/16 [==============================] - 0s 2ms/step - loss: 5.3975

Testing for epoch 35 index 12:
391/391 [==============================] - 0s 985us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9185
16/16 [==============================] - 0s 3ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011
16/16 [==============================] - 0s 2ms/step - loss: 5.4011

Testing for epoch 35 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.4390
16/16 [==============================] - 0s 2ms/step - loss: 5.4390
16/16 [==============================] - 0s 2ms/step - loss: 5.4390
16/16 [==============================] - 0s 2ms/step - loss: 5.4390
16/16 [==============================] - 0s 2ms/step - loss: 5.4390
16/16 [==============================] - 0s 5ms/step - loss: 5.4390
16/16 [==============================] - 0s 2ms/step - loss: 5.4390
16/16 [==============================] - 0s 2ms/step - loss: 5.4390
16/16 [==============================] - 0s 2ms/step - loss: 5.4390

Testing for epoch 35 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.9463
16/16 [==============================] - 0s 2ms/step - loss: 5.4173
16/16 [==============================] - 0s 3ms/step - loss: 5.4173
16/16 [==============================] - 0s 2ms/step - loss: 5.4173
16/16 [==============================] - 0s 4ms/step - loss: 5.4173
16/16 [==============================] - 0s 2ms/step - loss: 5.4173
16/16 [==============================] - 0s 2ms/step - loss: 5.4173
16/16 [==============================] - 0s 1ms/step - loss: 5.4173
16/16 [==============================] - 0s 2ms/step - loss: 5.4173
16/16 [==============================] - 0s 2ms/step - loss: 5.4173

Testing for epoch 35 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9335
16/16 [==============================] - 0s 2ms/step - loss: 5.3989
16/16 [==============================] - 0s 2ms/step - loss: 5.3989
16/16 [==============================] - 0s 2ms/step - loss: 5.3989
16/16 [==============================] - 0s 3ms/step - loss: 5.3989
16/16 [==============================] - 0s 2ms/step - loss: 5.3989
16/16 [==============================] - 0s 2ms/step - loss: 5.3989
16/16 [==============================] - 0s 2ms/step - loss: 5.3989
16/16 [==============================] - 0s 2ms/step - loss: 5.3989
16/16 [==============================] - 0s 3ms/step - loss: 5.3989

Testing for epoch 35 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.9552
16/16 [==============================] - 0s 2ms/step - loss: 5.4156
16/16 [==============================] - 0s 2ms/step - loss: 5.4156
16/16 [==============================] - 0s 4ms/step - loss: 5.4156
16/16 [==============================] - 0s 2ms/step - loss: 5.4156
16/16 [==============================] - 0s 2ms/step - loss: 5.4156
16/16 [==============================] - 0s 2ms/step - loss: 5.4156
16/16 [==============================] - 0s 2ms/step - loss: 5.4156
16/16 [==============================] - 0s 2ms/step - loss: 5.4156
16/16 [==============================] - 0s 2ms/step - loss: 5.4156

Testing for epoch 35 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9680
16/16 [==============================] - 0s 2ms/step - loss: 5.4304
16/16 [==============================] - 0s 3ms/step - loss: 5.4304
16/16 [==============================] - 0s 2ms/step - loss: 5.4304
16/16 [==============================] - 0s 2ms/step - loss: 5.4304
16/16 [==============================] - 0s 2ms/step - loss: 5.4304
16/16 [==============================] - 0s 3ms/step - loss: 5.4304
16/16 [==============================] - 0s 2ms/step - loss: 5.4304
16/16 [==============================] - 0s 2ms/step - loss: 5.4304
16/16 [==============================] - 0s 2ms/step - loss: 5.4304

Testing for epoch 35 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9660
16/16 [==============================] - 0s 1ms/step - loss: 5.4247
16/16 [==============================] - 0s 2ms/step - loss: 5.4247
16/16 [==============================] - 0s 2ms/step - loss: 5.4247
16/16 [==============================] - 0s 3ms/step - loss: 5.4247
16/16 [==============================] - 0s 2ms/step - loss: 5.4247
16/16 [==============================] - 0s 3ms/step - loss: 5.4247
16/16 [==============================] - 0s 1ms/step - loss: 5.4247
16/16 [==============================] - 0s 3ms/step - loss: 5.4247
16/16 [==============================] - 0s 2ms/step - loss: 5.4247

Testing for epoch 35 index 19:
391/391 [==============================] - 0s 978us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9685
16/16 [==============================] - 0s 1ms/step - loss: 5.4274
16/16 [==============================] - 0s 2ms/step - loss: 5.4274
16/16 [==============================] - 0s 2ms/step - loss: 5.4274
16/16 [==============================] - 0s 2ms/step - loss: 5.4274
16/16 [==============================] - 0s 2ms/step - loss: 5.4274
16/16 [==============================] - 0s 3ms/step - loss: 5.4274
16/16 [==============================] - 0s 2ms/step - loss: 5.4274
16/16 [==============================] - 0s 2ms/step - loss: 5.4274
16/16 [==============================] - 0s 3ms/step - loss: 5.4274

Testing for epoch 35 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9613
16/16 [==============================] - 0s 2ms/step - loss: 5.4239
16/16 [==============================] - 0s 1ms/step - loss: 5.4239
16/16 [==============================] - 0s 2ms/step - loss: 5.4239
16/16 [==============================] - 0s 2ms/step - loss: 5.4239
16/16 [==============================] - 0s 2ms/step - loss: 5.4239
16/16 [==============================] - 0s 2ms/step - loss: 5.4239
16/16 [==============================] - 0s 3ms/step - loss: 5.4239
16/16 [==============================] - 0s 4ms/step - loss: 5.4239
16/16 [==============================] - 0s 2ms/step - loss: 5.4239

Testing for epoch 35 index 21:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9669
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
16/16 [==============================] - 0s 4ms/step - loss: 5.4298
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
16/16 [==============================] - 0s 2ms/step - loss: 5.4298
16/16 [==============================] - 0s 3ms/step - loss: 5.4298

Testing for epoch 35 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9610
16/16 [==============================] - 0s 2ms/step - loss: 5.4245
16/16 [==============================] - 0s 2ms/step - loss: 5.4245
16/16 [==============================] - 0s 2ms/step - loss: 5.4245
16/16 [==============================] - 0s 4ms/step - loss: 5.4245
16/16 [==============================] - 0s 2ms/step - loss: 5.4245
16/16 [==============================] - 0s 2ms/step - loss: 5.4245
16/16 [==============================] - 0s 2ms/step - loss: 5.4245
16/16 [==============================] - 0s 2ms/step - loss: 5.4245
16/16 [==============================] - 0s 3ms/step - loss: 5.4245

Testing for epoch 35 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9643
16/16 [==============================] - 0s 4ms/step - loss: 5.4341
16/16 [==============================] - 0s 3ms/step - loss: 5.4341
16/16 [==============================] - 0s 2ms/step - loss: 5.4341
16/16 [==============================] - 0s 2ms/step - loss: 5.4341
16/16 [==============================] - 0s 3ms/step - loss: 5.4341
16/16 [==============================] - 0s 2ms/step - loss: 5.4341
16/16 [==============================] - 0s 3ms/step - loss: 5.4341
16/16 [==============================] - 0s 3ms/step - loss: 5.4341
16/16 [==============================] - 0s 2ms/step - loss: 5.4341

Testing for epoch 35 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9680
16/16 [==============================] - 0s 3ms/step - loss: 5.4426
16/16 [==============================] - 0s 4ms/step - loss: 5.4426
16/16 [==============================] - 0s 2ms/step - loss: 5.4426
16/16 [==============================] - 0s 2ms/step - loss: 5.4426
16/16 [==============================] - 0s 1ms/step - loss: 5.4426
16/16 [==============================] - 0s 2ms/step - loss: 5.4426
16/16 [==============================] - 0s 1ms/step - loss: 5.4426
16/16 [==============================] - 0s 3ms/step - loss: 5.4426
16/16 [==============================] - 0s 2ms/step - loss: 5.4426
Epoch 36 of 60

Testing for epoch 36 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.9787
16/16 [==============================] - 0s 2ms/step - loss: 5.4642
16/16 [==============================] - 0s 2ms/step - loss: 5.4642
16/16 [==============================] - 0s 2ms/step - loss: 5.4642
16/16 [==============================] - 0s 3ms/step - loss: 5.4642
16/16 [==============================] - 0s 2ms/step - loss: 5.4642
16/16 [==============================] - 0s 2ms/step - loss: 5.4642
16/16 [==============================] - 0s 2ms/step - loss: 5.4642
16/16 [==============================] - 0s 2ms/step - loss: 5.4642
16/16 [==============================] - 0s 1ms/step - loss: 5.4642

Testing for epoch 36 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9632
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 3ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 3ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 3ms/step - loss: 5.4453

Testing for epoch 36 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9606
16/16 [==============================] - 0s 1ms/step - loss: 5.4509
16/16 [==============================] - 0s 2ms/step - loss: 5.4509
16/16 [==============================] - 0s 2ms/step - loss: 5.4509
16/16 [==============================] - 0s 975us/step - loss: 5.4509
16/16 [==============================] - 0s 2ms/step - loss: 5.4509
16/16 [==============================] - 0s 2ms/step - loss: 5.4509
16/16 [==============================] - 0s 2ms/step - loss: 5.4509
16/16 [==============================] - 0s 2ms/step - loss: 5.4509
16/16 [==============================] - 0s 2ms/step - loss: 5.4509

Testing for epoch 36 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 4.9504
16/16 [==============================] - 0s 2ms/step - loss: 5.4473
16/16 [==============================] - 0s 2ms/step - loss: 5.4473
16/16 [==============================] - 0s 2ms/step - loss: 5.4473
16/16 [==============================] - 0s 2ms/step - loss: 5.4473
16/16 [==============================] - 0s 1ms/step - loss: 5.4473
16/16 [==============================] - 0s 2ms/step - loss: 5.4473
16/16 [==============================] - 0s 2ms/step - loss: 5.4473
16/16 [==============================] - 0s 2ms/step - loss: 5.4473
16/16 [==============================] - 0s 1ms/step - loss: 5.4473

Testing for epoch 36 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9616
16/16 [==============================] - 0s 1ms/step - loss: 5.4659
16/16 [==============================] - 0s 2ms/step - loss: 5.4659
16/16 [==============================] - 0s 2ms/step - loss: 5.4659
16/16 [==============================] - 0s 2ms/step - loss: 5.4659
16/16 [==============================] - 0s 1ms/step - loss: 5.4659
16/16 [==============================] - 0s 2ms/step - loss: 5.4659
16/16 [==============================] - 0s 2ms/step - loss: 5.4659
16/16 [==============================] - 0s 2ms/step - loss: 5.4659
16/16 [==============================] - 0s 2ms/step - loss: 5.4659

Testing for epoch 36 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9465
16/16 [==============================] - 0s 2ms/step - loss: 5.4527
16/16 [==============================] - 0s 2ms/step - loss: 5.4527
16/16 [==============================] - 0s 2ms/step - loss: 5.4527
16/16 [==============================] - 0s 2ms/step - loss: 5.4527
16/16 [==============================] - 0s 2ms/step - loss: 5.4527
16/16 [==============================] - 0s 2ms/step - loss: 5.4527
16/16 [==============================] - 0s 4ms/step - loss: 5.4527
16/16 [==============================] - 0s 2ms/step - loss: 5.4527
16/16 [==============================] - 0s 2ms/step - loss: 5.4527

Testing for epoch 36 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 978us/step - loss: 4.9412
16/16 [==============================] - 0s 3ms/step - loss: 5.4578
16/16 [==============================] - 0s 2ms/step - loss: 5.4578
16/16 [==============================] - 0s 2ms/step - loss: 5.4578
16/16 [==============================] - 0s 2ms/step - loss: 5.4578
16/16 [==============================] - 0s 2ms/step - loss: 5.4578
16/16 [==============================] - 0s 3ms/step - loss: 5.4578
16/16 [==============================] - 0s 2ms/step - loss: 5.4578
16/16 [==============================] - 0s 2ms/step - loss: 5.4578
16/16 [==============================] - 0s 3ms/step - loss: 5.4578

Testing for epoch 36 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9274
16/16 [==============================] - 0s 2ms/step - loss: 5.4492
16/16 [==============================] - 0s 2ms/step - loss: 5.4492
16/16 [==============================] - 0s 2ms/step - loss: 5.4492
16/16 [==============================] - 0s 2ms/step - loss: 5.4492
16/16 [==============================] - 0s 2ms/step - loss: 5.4492
16/16 [==============================] - 0s 2ms/step - loss: 5.4492
16/16 [==============================] - 0s 2ms/step - loss: 5.4492
16/16 [==============================] - 0s 3ms/step - loss: 5.4492
16/16 [==============================] - 0s 2ms/step - loss: 5.4492

Testing for epoch 36 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9307
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 1ms/step - loss: 5.4495
16/16 [==============================] - 0s 1ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 1ms/step - loss: 5.4495

Testing for epoch 36 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9662
16/16 [==============================] - 0s 2ms/step - loss: 5.4800
16/16 [==============================] - 0s 2ms/step - loss: 5.4800
16/16 [==============================] - 0s 2ms/step - loss: 5.4800
16/16 [==============================] - 0s 2ms/step - loss: 5.4800
16/16 [==============================] - 0s 1ms/step - loss: 5.4800
16/16 [==============================] - 0s 2ms/step - loss: 5.4800
16/16 [==============================] - 0s 2ms/step - loss: 5.4800
16/16 [==============================] - 0s 2ms/step - loss: 5.4800
16/16 [==============================] - 0s 2ms/step - loss: 5.4800

Testing for epoch 36 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9732
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674
16/16 [==============================] - 0s 2ms/step - loss: 5.4674

Testing for epoch 36 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9816
16/16 [==============================] - 0s 2ms/step - loss: 5.4657
16/16 [==============================] - 0s 1ms/step - loss: 5.4657
16/16 [==============================] - 0s 3ms/step - loss: 5.4657
16/16 [==============================] - 0s 1ms/step - loss: 5.4657
16/16 [==============================] - 0s 2ms/step - loss: 5.4657
16/16 [==============================] - 0s 2ms/step - loss: 5.4657
16/16 [==============================] - 0s 2ms/step - loss: 5.4657
16/16 [==============================] - 0s 2ms/step - loss: 5.4657
16/16 [==============================] - 0s 2ms/step - loss: 5.4657

Testing for epoch 36 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9835
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518
16/16 [==============================] - 0s 2ms/step - loss: 5.4518

Testing for epoch 36 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.0064
16/16 [==============================] - 0s 1ms/step - loss: 5.4742
16/16 [==============================] - 0s 1ms/step - loss: 5.4742
16/16 [==============================] - 0s 1ms/step - loss: 5.4742
16/16 [==============================] - 0s 2ms/step - loss: 5.4742
16/16 [==============================] - 0s 2ms/step - loss: 5.4742
16/16 [==============================] - 0s 1ms/step - loss: 5.4742
16/16 [==============================] - 0s 2ms/step - loss: 5.4742
16/16 [==============================] - 0s 2ms/step - loss: 5.4742
16/16 [==============================] - 0s 1ms/step - loss: 5.4742

Testing for epoch 36 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.9921
16/16 [==============================] - 0s 3ms/step - loss: 5.4495
16/16 [==============================] - 0s 3ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 3ms/step - loss: 5.4495
16/16 [==============================] - 0s 1ms/step - loss: 5.4495
16/16 [==============================] - 0s 4ms/step - loss: 5.4495
16/16 [==============================] - 0s 1ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495
16/16 [==============================] - 0s 2ms/step - loss: 5.4495

Testing for epoch 36 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0128
16/16 [==============================] - 0s 3ms/step - loss: 5.4730
16/16 [==============================] - 0s 1ms/step - loss: 5.4730
16/16 [==============================] - 0s 2ms/step - loss: 5.4730
16/16 [==============================] - 0s 1ms/step - loss: 5.4730
16/16 [==============================] - 0s 1ms/step - loss: 5.4730
16/16 [==============================] - 0s 2ms/step - loss: 5.4730
16/16 [==============================] - 0s 2ms/step - loss: 5.4730
16/16 [==============================] - 0s 1ms/step - loss: 5.4730
16/16 [==============================] - 0s 1ms/step - loss: 5.4730

Testing for epoch 36 index 17:
391/391 [==============================] - 0s 976us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0280
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899
16/16 [==============================] - 0s 2ms/step - loss: 5.4899

Testing for epoch 36 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0057
16/16 [==============================] - 0s 2ms/step - loss: 5.4622
16/16 [==============================] - 0s 2ms/step - loss: 5.4622
16/16 [==============================] - 0s 3ms/step - loss: 5.4622
16/16 [==============================] - 0s 2ms/step - loss: 5.4622
16/16 [==============================] - 0s 3ms/step - loss: 5.4622
16/16 [==============================] - 0s 2ms/step - loss: 5.4622
16/16 [==============================] - 0s 2ms/step - loss: 5.4622
16/16 [==============================] - 0s 2ms/step - loss: 5.4622
16/16 [==============================] - 0s 2ms/step - loss: 5.4622

Testing for epoch 36 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 4.9993
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 3ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453
16/16 [==============================] - 0s 2ms/step - loss: 5.4453

Testing for epoch 36 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0109
16/16 [==============================] - 0s 2ms/step - loss: 5.4631
16/16 [==============================] - 0s 3ms/step - loss: 5.4631
16/16 [==============================] - 0s 2ms/step - loss: 5.4631
16/16 [==============================] - 0s 2ms/step - loss: 5.4631
16/16 [==============================] - 0s 2ms/step - loss: 5.4631
16/16 [==============================] - 0s 2ms/step - loss: 5.4631
16/16 [==============================] - 0s 2ms/step - loss: 5.4631
16/16 [==============================] - 0s 2ms/step - loss: 5.4631
16/16 [==============================] - 0s 2ms/step - loss: 5.4631

Testing for epoch 36 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0203
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768
16/16 [==============================] - 0s 2ms/step - loss: 5.4768

Testing for epoch 36 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.0138
16/16 [==============================] - 0s 1ms/step - loss: 5.4682
16/16 [==============================] - 0s 2ms/step - loss: 5.4682
16/16 [==============================] - 0s 2ms/step - loss: 5.4682
16/16 [==============================] - 0s 2ms/step - loss: 5.4682
16/16 [==============================] - 0s 1ms/step - loss: 5.4682
16/16 [==============================] - 0s 931us/step - loss: 5.4682
16/16 [==============================] - 0s 931us/step - loss: 5.4682
16/16 [==============================] - 0s 959us/step - loss: 5.4682
16/16 [==============================] - 0s 921us/step - loss: 5.4682

Testing for epoch 36 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 849us/step - loss: 5.0411
16/16 [==============================] - 0s 2ms/step - loss: 5.5110
16/16 [==============================] - 0s 2ms/step - loss: 5.5110
16/16 [==============================] - 0s 723us/step - loss: 5.5110
16/16 [==============================] - 0s 898us/step - loss: 5.5110
16/16 [==============================] - 0s 4ms/step - loss: 5.5110
16/16 [==============================] - 0s 1ms/step - loss: 5.5110
16/16 [==============================] - 0s 764us/step - loss: 5.5110
16/16 [==============================] - 0s 6ms/step - loss: 5.5110
16/16 [==============================] - 0s 3ms/step - loss: 5.5110

Testing for epoch 36 index 24:
391/391 [==============================] - 0s 621us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0198
16/16 [==============================] - 0s 4ms/step - loss: 5.4904
16/16 [==============================] - 0s 4ms/step - loss: 5.4904
16/16 [==============================] - 0s 1ms/step - loss: 5.4904
16/16 [==============================] - 0s 3ms/step - loss: 5.4904
16/16 [==============================] - 0s 3ms/step - loss: 5.4904
16/16 [==============================] - 0s 2ms/step - loss: 5.4904
16/16 [==============================] - 0s 1ms/step - loss: 5.4904
16/16 [==============================] - 0s 843us/step - loss: 5.4904
16/16 [==============================] - 0s 1ms/step - loss: 5.4904
Epoch 37 of 60

Testing for epoch 37 index 1:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0005
16/16 [==============================] - 0s 2ms/step - loss: 5.4669
16/16 [==============================] - 0s 1ms/step - loss: 5.4669
16/16 [==============================] - 0s 1ms/step - loss: 5.4669
16/16 [==============================] - 0s 1ms/step - loss: 5.4669
16/16 [==============================] - 0s 987us/step - loss: 5.4669
16/16 [==============================] - 0s 1ms/step - loss: 5.4669
16/16 [==============================] - 0s 1ms/step - loss: 5.4669
16/16 [==============================] - 0s 853us/step - loss: 5.4669
16/16 [==============================] - 0s 1ms/step - loss: 5.4669

Testing for epoch 37 index 2:
391/391 [==============================] - 0s 775us/step
16/16 [==============================] - 0s 873us/step - loss: 5.0123
16/16 [==============================] - 0s 858us/step - loss: 5.4826
16/16 [==============================] - 0s 878us/step - loss: 5.4826
16/16 [==============================] - 0s 864us/step - loss: 5.4826
16/16 [==============================] - 0s 850us/step - loss: 5.4826
16/16 [==============================] - 0s 921us/step - loss: 5.4826
16/16 [==============================] - 0s 923us/step - loss: 5.4826
16/16 [==============================] - 0s 831us/step - loss: 5.4826
16/16 [==============================] - 0s 848us/step - loss: 5.4826
16/16 [==============================] - 0s 883us/step - loss: 5.4826

Testing for epoch 37 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 4.9913
16/16 [==============================] - 0s 4ms/step - loss: 5.4685
16/16 [==============================] - 0s 2ms/step - loss: 5.4685
16/16 [==============================] - 0s 2ms/step - loss: 5.4685
16/16 [==============================] - 0s 1ms/step - loss: 5.4685
16/16 [==============================] - 0s 2ms/step - loss: 5.4685
16/16 [==============================] - 0s 2ms/step - loss: 5.4685
16/16 [==============================] - 0s 5ms/step - loss: 5.4685
16/16 [==============================] - 0s 2ms/step - loss: 5.4685
16/16 [==============================] - 0s 2ms/step - loss: 5.4685

Testing for epoch 37 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.0016
16/16 [==============================] - 0s 825us/step - loss: 5.4864
16/16 [==============================] - 0s 822us/step - loss: 5.4864
16/16 [==============================] - 0s 3ms/step - loss: 5.4864
16/16 [==============================] - 0s 6ms/step - loss: 5.4864
16/16 [==============================] - 0s 2ms/step - loss: 5.4864
16/16 [==============================] - 0s 5ms/step - loss: 5.4864
16/16 [==============================] - 0s 5ms/step - loss: 5.4864
16/16 [==============================] - 0s 4ms/step - loss: 5.4864
16/16 [==============================] - 0s 4ms/step - loss: 5.4864

Testing for epoch 37 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 846us/step - loss: 4.9910
16/16 [==============================] - 0s 895us/step - loss: 5.4805
16/16 [==============================] - 0s 836us/step - loss: 5.4805
16/16 [==============================] - 0s 2ms/step - loss: 5.4805
16/16 [==============================] - 0s 2ms/step - loss: 5.4805
16/16 [==============================] - 0s 1ms/step - loss: 5.4805
16/16 [==============================] - 0s 2ms/step - loss: 5.4805
16/16 [==============================] - 0s 1ms/step - loss: 5.4805
16/16 [==============================] - 0s 2ms/step - loss: 5.4805
16/16 [==============================] - 0s 2ms/step - loss: 5.4805

Testing for epoch 37 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9947
16/16 [==============================] - 0s 2ms/step - loss: 5.4968
16/16 [==============================] - 0s 2ms/step - loss: 5.4968
16/16 [==============================] - 0s 1ms/step - loss: 5.4968
16/16 [==============================] - 0s 2ms/step - loss: 5.4968
16/16 [==============================] - 0s 2ms/step - loss: 5.4968
16/16 [==============================] - 0s 1ms/step - loss: 5.4968
16/16 [==============================] - 0s 2ms/step - loss: 5.4968
16/16 [==============================] - 0s 2ms/step - loss: 5.4968
16/16 [==============================] - 0s 2ms/step - loss: 5.4968

Testing for epoch 37 index 7:
391/391 [==============================] - 0s 971us/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9946
16/16 [==============================] - 0s 2ms/step - loss: 5.5044
16/16 [==============================] - 0s 2ms/step - loss: 5.5044
16/16 [==============================] - 0s 3ms/step - loss: 5.5044
16/16 [==============================] - 0s 2ms/step - loss: 5.5044
16/16 [==============================] - 0s 1ms/step - loss: 5.5044
16/16 [==============================] - 0s 2ms/step - loss: 5.5044
16/16 [==============================] - 0s 2ms/step - loss: 5.5044
16/16 [==============================] - 0s 2ms/step - loss: 5.5044
16/16 [==============================] - 0s 1ms/step - loss: 5.5044

Testing for epoch 37 index 8:
391/391 [==============================] - 0s 990us/step
16/16 [==============================] - 0s 2ms/step - loss: 4.9874
16/16 [==============================] - 0s 2ms/step - loss: 5.5077
16/16 [==============================] - 0s 2ms/step - loss: 5.5077
16/16 [==============================] - 0s 2ms/step - loss: 5.5077
16/16 [==============================] - 0s 2ms/step - loss: 5.5077
16/16 [==============================] - 0s 2ms/step - loss: 5.5077
16/16 [==============================] - 0s 2ms/step - loss: 5.5077
16/16 [==============================] - 0s 2ms/step - loss: 5.5077
16/16 [==============================] - 0s 1ms/step - loss: 5.5077
16/16 [==============================] - 0s 1ms/step - loss: 5.5077

Testing for epoch 37 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 4.9751
16/16 [==============================] - 0s 4ms/step - loss: 5.4813
16/16 [==============================] - 0s 2ms/step - loss: 5.4813
16/16 [==============================] - 0s 2ms/step - loss: 5.4813
16/16 [==============================] - 0s 2ms/step - loss: 5.4813
16/16 [==============================] - 0s 2ms/step - loss: 5.4813
16/16 [==============================] - 0s 2ms/step - loss: 5.4813
16/16 [==============================] - 0s 3ms/step - loss: 5.4813
16/16 [==============================] - 0s 2ms/step - loss: 5.4813
16/16 [==============================] - 0s 2ms/step - loss: 5.4813

Testing for epoch 37 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0163
16/16 [==============================] - 0s 1ms/step - loss: 5.5115
16/16 [==============================] - 0s 1ms/step - loss: 5.5115
16/16 [==============================] - 0s 1ms/step - loss: 5.5115
16/16 [==============================] - 0s 1ms/step - loss: 5.5115
16/16 [==============================] - 0s 2ms/step - loss: 5.5115
16/16 [==============================] - 0s 1ms/step - loss: 5.5115
16/16 [==============================] - 0s 2ms/step - loss: 5.5115
16/16 [==============================] - 0s 1ms/step - loss: 5.5115
16/16 [==============================] - 0s 2ms/step - loss: 5.5115

Testing for epoch 37 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0281
16/16 [==============================] - 0s 2ms/step - loss: 5.5159
16/16 [==============================] - 0s 2ms/step - loss: 5.5159
16/16 [==============================] - 0s 2ms/step - loss: 5.5159
16/16 [==============================] - 0s 2ms/step - loss: 5.5159
16/16 [==============================] - 0s 1ms/step - loss: 5.5159
16/16 [==============================] - 0s 3ms/step - loss: 5.5159
16/16 [==============================] - 0s 2ms/step - loss: 5.5159
16/16 [==============================] - 0s 2ms/step - loss: 5.5159
16/16 [==============================] - 0s 2ms/step - loss: 5.5159

Testing for epoch 37 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0375
16/16 [==============================] - 0s 2ms/step - loss: 5.5153
16/16 [==============================] - 0s 3ms/step - loss: 5.5153
16/16 [==============================] - 0s 3ms/step - loss: 5.5153
16/16 [==============================] - 0s 1ms/step - loss: 5.5153
16/16 [==============================] - 0s 2ms/step - loss: 5.5153
16/16 [==============================] - 0s 3ms/step - loss: 5.5153
16/16 [==============================] - 0s 2ms/step - loss: 5.5153
16/16 [==============================] - 0s 2ms/step - loss: 5.5153
16/16 [==============================] - 0s 3ms/step - loss: 5.5153

Testing for epoch 37 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0355
16/16 [==============================] - 0s 1ms/step - loss: 5.5017
16/16 [==============================] - 0s 1ms/step - loss: 5.5017
16/16 [==============================] - 0s 2ms/step - loss: 5.5017
16/16 [==============================] - 0s 2ms/step - loss: 5.5017
16/16 [==============================] - 0s 5ms/step - loss: 5.5017
16/16 [==============================] - 0s 3ms/step - loss: 5.5017
16/16 [==============================] - 0s 3ms/step - loss: 5.5017
16/16 [==============================] - 0s 2ms/step - loss: 5.5017
16/16 [==============================] - 0s 2ms/step - loss: 5.5017

Testing for epoch 37 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0652
16/16 [==============================] - 0s 1ms/step - loss: 5.5338
16/16 [==============================] - 0s 3ms/step - loss: 5.5338
16/16 [==============================] - 0s 3ms/step - loss: 5.5338
16/16 [==============================] - 0s 3ms/step - loss: 5.5338
16/16 [==============================] - 0s 4ms/step - loss: 5.5338
16/16 [==============================] - 0s 4ms/step - loss: 5.5338
16/16 [==============================] - 0s 1ms/step - loss: 5.5338
16/16 [==============================] - 0s 2ms/step - loss: 5.5338
16/16 [==============================] - 0s 3ms/step - loss: 5.5338

Testing for epoch 37 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0684
16/16 [==============================] - 0s 2ms/step - loss: 5.5271
16/16 [==============================] - 0s 1ms/step - loss: 5.5271
16/16 [==============================] - 0s 3ms/step - loss: 5.5271
16/16 [==============================] - 0s 2ms/step - loss: 5.5271
16/16 [==============================] - 0s 4ms/step - loss: 5.5271
16/16 [==============================] - 0s 2ms/step - loss: 5.5271
16/16 [==============================] - 0s 3ms/step - loss: 5.5271
16/16 [==============================] - 0s 3ms/step - loss: 5.5271
16/16 [==============================] - 0s 2ms/step - loss: 5.5271

Testing for epoch 37 index 16:
391/391 [==============================] - 0s 953us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0775
16/16 [==============================] - 0s 2ms/step - loss: 5.5338
16/16 [==============================] - 0s 3ms/step - loss: 5.5338
16/16 [==============================] - 0s 4ms/step - loss: 5.5338
16/16 [==============================] - 0s 2ms/step - loss: 5.5338
16/16 [==============================] - 0s 1ms/step - loss: 5.5338
16/16 [==============================] - 0s 2ms/step - loss: 5.5338
16/16 [==============================] - 0s 2ms/step - loss: 5.5338
16/16 [==============================] - 0s 3ms/step - loss: 5.5338
16/16 [==============================] - 0s 3ms/step - loss: 5.5338

Testing for epoch 37 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.0568
16/16 [==============================] - 0s 3ms/step - loss: 5.5048
16/16 [==============================] - 0s 2ms/step - loss: 5.5048
16/16 [==============================] - 0s 2ms/step - loss: 5.5048
16/16 [==============================] - 0s 1ms/step - loss: 5.5048
16/16 [==============================] - 0s 2ms/step - loss: 5.5048
16/16 [==============================] - 0s 2ms/step - loss: 5.5048
16/16 [==============================] - 0s 1ms/step - loss: 5.5048
16/16 [==============================] - 0s 2ms/step - loss: 5.5048
16/16 [==============================] - 0s 2ms/step - loss: 5.5048

Testing for epoch 37 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0605
16/16 [==============================] - 0s 2ms/step - loss: 5.5101
16/16 [==============================] - 0s 2ms/step - loss: 5.5101
16/16 [==============================] - 0s 1ms/step - loss: 5.5101
16/16 [==============================] - 0s 1ms/step - loss: 5.5101
16/16 [==============================] - 0s 3ms/step - loss: 5.5101
16/16 [==============================] - 0s 4ms/step - loss: 5.5101
16/16 [==============================] - 0s 4ms/step - loss: 5.5101
16/16 [==============================] - 0s 2ms/step - loss: 5.5101
16/16 [==============================] - 0s 2ms/step - loss: 5.5101

Testing for epoch 37 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0617
16/16 [==============================] - 0s 2ms/step - loss: 5.5109
16/16 [==============================] - 0s 3ms/step - loss: 5.5109
16/16 [==============================] - 0s 2ms/step - loss: 5.5109
16/16 [==============================] - 0s 4ms/step - loss: 5.5109
16/16 [==============================] - 0s 2ms/step - loss: 5.5109
16/16 [==============================] - 0s 2ms/step - loss: 5.5109
16/16 [==============================] - 0s 4ms/step - loss: 5.5109
16/16 [==============================] - 0s 2ms/step - loss: 5.5109
16/16 [==============================] - 0s 4ms/step - loss: 5.5109

Testing for epoch 37 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0815
16/16 [==============================] - 0s 3ms/step - loss: 5.5375
16/16 [==============================] - 0s 2ms/step - loss: 5.5375
16/16 [==============================] - 0s 2ms/step - loss: 5.5375
16/16 [==============================] - 0s 2ms/step - loss: 5.5375
16/16 [==============================] - 0s 2ms/step - loss: 5.5375
16/16 [==============================] - 0s 1ms/step - loss: 5.5375
16/16 [==============================] - 0s 2ms/step - loss: 5.5375
16/16 [==============================] - 0s 2ms/step - loss: 5.5375
16/16 [==============================] - 0s 2ms/step - loss: 5.5375

Testing for epoch 37 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0559
16/16 [==============================] - 0s 1ms/step - loss: 5.5021
16/16 [==============================] - 0s 3ms/step - loss: 5.5021
16/16 [==============================] - 0s 2ms/step - loss: 5.5021
16/16 [==============================] - 0s 4ms/step - loss: 5.5021
16/16 [==============================] - 0s 2ms/step - loss: 5.5021
16/16 [==============================] - 0s 3ms/step - loss: 5.5021
16/16 [==============================] - 0s 3ms/step - loss: 5.5021
16/16 [==============================] - 0s 3ms/step - loss: 5.5021
16/16 [==============================] - 0s 2ms/step - loss: 5.5021

Testing for epoch 37 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.0878
16/16 [==============================] - 0s 2ms/step - loss: 5.5522
16/16 [==============================] - 0s 1ms/step - loss: 5.5522
16/16 [==============================] - 0s 4ms/step - loss: 5.5522
16/16 [==============================] - 0s 3ms/step - loss: 5.5522
16/16 [==============================] - 0s 4ms/step - loss: 5.5522
16/16 [==============================] - 0s 4ms/step - loss: 5.5522
16/16 [==============================] - 0s 3ms/step - loss: 5.5522
16/16 [==============================] - 0s 3ms/step - loss: 5.5522
16/16 [==============================] - 0s 5ms/step - loss: 5.5522

Testing for epoch 37 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.0748
16/16 [==============================] - 0s 2ms/step - loss: 5.5358
16/16 [==============================] - 0s 5ms/step - loss: 5.5358
16/16 [==============================] - 0s 2ms/step - loss: 5.5358
16/16 [==============================] - 0s 1ms/step - loss: 5.5358
16/16 [==============================] - 0s 2ms/step - loss: 5.5358
16/16 [==============================] - 0s 4ms/step - loss: 5.5358
16/16 [==============================] - 0s 2ms/step - loss: 5.5358
16/16 [==============================] - 0s 1ms/step - loss: 5.5358
16/16 [==============================] - 0s 2ms/step - loss: 5.5358

Testing for epoch 37 index 24:
391/391 [==============================] - 0s 969us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0705
16/16 [==============================] - 0s 2ms/step - loss: 5.5317
16/16 [==============================] - 0s 2ms/step - loss: 5.5317
16/16 [==============================] - 0s 2ms/step - loss: 5.5317
16/16 [==============================] - 0s 2ms/step - loss: 5.5317
16/16 [==============================] - 0s 2ms/step - loss: 5.5317
16/16 [==============================] - 0s 2ms/step - loss: 5.5317
16/16 [==============================] - 0s 1ms/step - loss: 5.5317
16/16 [==============================] - 0s 2ms/step - loss: 5.5317
16/16 [==============================] - 0s 1ms/step - loss: 5.5317
Epoch 38 of 60

Testing for epoch 38 index 1:
391/391 [==============================] - 0s 967us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0642
16/16 [==============================] - 0s 2ms/step - loss: 5.5335
16/16 [==============================] - 0s 4ms/step - loss: 5.5335
16/16 [==============================] - 0s 1ms/step - loss: 5.5335
16/16 [==============================] - 0s 2ms/step - loss: 5.5335
16/16 [==============================] - 0s 2ms/step - loss: 5.5335
16/16 [==============================] - 0s 3ms/step - loss: 5.5335
16/16 [==============================] - 0s 2ms/step - loss: 5.5335
16/16 [==============================] - 0s 2ms/step - loss: 5.5335
16/16 [==============================] - 0s 2ms/step - loss: 5.5335

Testing for epoch 38 index 2:
391/391 [==============================] - 0s 880us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0603
16/16 [==============================] - 0s 2ms/step - loss: 5.5251
16/16 [==============================] - 0s 1ms/step - loss: 5.5251
16/16 [==============================] - 0s 3ms/step - loss: 5.5251
16/16 [==============================] - 0s 4ms/step - loss: 5.5251
16/16 [==============================] - 0s 2ms/step - loss: 5.5251
16/16 [==============================] - 0s 2ms/step - loss: 5.5251
16/16 [==============================] - 0s 2ms/step - loss: 5.5251
16/16 [==============================] - 0s 1ms/step - loss: 5.5251
16/16 [==============================] - 0s 4ms/step - loss: 5.5251

Testing for epoch 38 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.0590
16/16 [==============================] - 0s 2ms/step - loss: 5.5380
16/16 [==============================] - 0s 2ms/step - loss: 5.5380
16/16 [==============================] - 0s 4ms/step - loss: 5.5380
16/16 [==============================] - 0s 3ms/step - loss: 5.5380
16/16 [==============================] - 0s 1ms/step - loss: 5.5380
16/16 [==============================] - 0s 3ms/step - loss: 5.5380
16/16 [==============================] - 0s 1ms/step - loss: 5.5380
16/16 [==============================] - 0s 1ms/step - loss: 5.5380
16/16 [==============================] - 0s 2ms/step - loss: 5.5380

Testing for epoch 38 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0673
16/16 [==============================] - 0s 1ms/step - loss: 5.5519
16/16 [==============================] - 0s 2ms/step - loss: 5.5519
16/16 [==============================] - 0s 2ms/step - loss: 5.5519
16/16 [==============================] - 0s 2ms/step - loss: 5.5519
16/16 [==============================] - 0s 5ms/step - loss: 5.5519
16/16 [==============================] - 0s 2ms/step - loss: 5.5519
16/16 [==============================] - 0s 3ms/step - loss: 5.5519
16/16 [==============================] - 0s 2ms/step - loss: 5.5519
16/16 [==============================] - 0s 1ms/step - loss: 5.5519

Testing for epoch 38 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0527
16/16 [==============================] - 0s 1ms/step - loss: 5.5425
16/16 [==============================] - 0s 2ms/step - loss: 5.5425
16/16 [==============================] - 0s 2ms/step - loss: 5.5425
16/16 [==============================] - 0s 2ms/step - loss: 5.5425
16/16 [==============================] - 0s 2ms/step - loss: 5.5425
16/16 [==============================] - 0s 2ms/step - loss: 5.5425
16/16 [==============================] - 0s 2ms/step - loss: 5.5425
16/16 [==============================] - 0s 1ms/step - loss: 5.5425
16/16 [==============================] - 0s 3ms/step - loss: 5.5425

Testing for epoch 38 index 6:
391/391 [==============================] - 0s 996us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0484
16/16 [==============================] - 0s 2ms/step - loss: 5.5426
16/16 [==============================] - 0s 4ms/step - loss: 5.5426
16/16 [==============================] - 0s 2ms/step - loss: 5.5426
16/16 [==============================] - 0s 2ms/step - loss: 5.5426
16/16 [==============================] - 0s 3ms/step - loss: 5.5426
16/16 [==============================] - 0s 2ms/step - loss: 5.5426
16/16 [==============================] - 0s 2ms/step - loss: 5.5426
16/16 [==============================] - 0s 2ms/step - loss: 5.5426
16/16 [==============================] - 0s 3ms/step - loss: 5.5426

Testing for epoch 38 index 7:
391/391 [==============================] - 0s 936us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0240
16/16 [==============================] - 0s 2ms/step - loss: 5.5158
16/16 [==============================] - 0s 4ms/step - loss: 5.5158
16/16 [==============================] - 0s 1ms/step - loss: 5.5158
16/16 [==============================] - 0s 2ms/step - loss: 5.5158
16/16 [==============================] - 0s 2ms/step - loss: 5.5158
16/16 [==============================] - 0s 2ms/step - loss: 5.5158
16/16 [==============================] - 0s 5ms/step - loss: 5.5158
16/16 [==============================] - 0s 2ms/step - loss: 5.5158
16/16 [==============================] - 0s 2ms/step - loss: 5.5158

Testing for epoch 38 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.0449
16/16 [==============================] - 0s 10ms/step - loss: 5.5561
16/16 [==============================] - 0s 8ms/step - loss: 5.5561
16/16 [==============================] - 0s 3ms/step - loss: 5.5561
16/16 [==============================] - 0s 6ms/step - loss: 5.5561
16/16 [==============================] - 0s 4ms/step - loss: 5.5561
16/16 [==============================] - 0s 2ms/step - loss: 5.5561
16/16 [==============================] - 0s 4ms/step - loss: 5.5561
16/16 [==============================] - 0s 4ms/step - loss: 5.5561
16/16 [==============================] - 0s 4ms/step - loss: 5.5561

Testing for epoch 38 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 8ms/step - loss: 5.0290
16/16 [==============================] - 0s 3ms/step - loss: 5.5263
16/16 [==============================] - 0s 5ms/step - loss: 5.5263
16/16 [==============================] - 0s 2ms/step - loss: 5.5263
16/16 [==============================] - 0s 6ms/step - loss: 5.5263
16/16 [==============================] - 0s 5ms/step - loss: 5.5263
16/16 [==============================] - 0s 6ms/step - loss: 5.5263
16/16 [==============================] - 0s 5ms/step - loss: 5.5263
16/16 [==============================] - 0s 3ms/step - loss: 5.5263
16/16 [==============================] - 0s 5ms/step - loss: 5.5263

Testing for epoch 38 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.0504
16/16 [==============================] - 0s 2ms/step - loss: 5.5378
16/16 [==============================] - 0s 5ms/step - loss: 5.5378
16/16 [==============================] - 0s 2ms/step - loss: 5.5378
16/16 [==============================] - 0s 2ms/step - loss: 5.5378
16/16 [==============================] - 0s 5ms/step - loss: 5.5378
16/16 [==============================] - 0s 2ms/step - loss: 5.5378
16/16 [==============================] - 0s 4ms/step - loss: 5.5378
16/16 [==============================] - 0s 2ms/step - loss: 5.5378
16/16 [==============================] - 0s 2ms/step - loss: 5.5378

Testing for epoch 38 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0746
16/16 [==============================] - 0s 2ms/step - loss: 5.5511
16/16 [==============================] - 0s 4ms/step - loss: 5.5511
16/16 [==============================] - 0s 2ms/step - loss: 5.5511
16/16 [==============================] - 0s 2ms/step - loss: 5.5511
16/16 [==============================] - 0s 4ms/step - loss: 5.5511
16/16 [==============================] - 0s 2ms/step - loss: 5.5511
16/16 [==============================] - 0s 3ms/step - loss: 5.5511
16/16 [==============================] - 0s 3ms/step - loss: 5.5511
16/16 [==============================] - 0s 5ms/step - loss: 5.5511

Testing for epoch 38 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.0673
16/16 [==============================] - 0s 5ms/step - loss: 5.5353
16/16 [==============================] - 0s 6ms/step - loss: 5.5353
16/16 [==============================] - 0s 2ms/step - loss: 5.5353
16/16 [==============================] - 0s 3ms/step - loss: 5.5353
16/16 [==============================] - 0s 2ms/step - loss: 5.5353
16/16 [==============================] - 0s 2ms/step - loss: 5.5353
16/16 [==============================] - 0s 6ms/step - loss: 5.5353
16/16 [==============================] - 0s 1ms/step - loss: 5.5353
16/16 [==============================] - 0s 5ms/step - loss: 5.5353

Testing for epoch 38 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0834
16/16 [==============================] - 0s 3ms/step - loss: 5.5450
16/16 [==============================] - 0s 4ms/step - loss: 5.5450
16/16 [==============================] - 0s 2ms/step - loss: 5.5450
16/16 [==============================] - 0s 2ms/step - loss: 5.5450
16/16 [==============================] - 0s 1ms/step - loss: 5.5450
16/16 [==============================] - 0s 2ms/step - loss: 5.5450
16/16 [==============================] - 0s 6ms/step - loss: 5.5450
16/16 [==============================] - 0s 2ms/step - loss: 5.5450
16/16 [==============================] - 0s 2ms/step - loss: 5.5450

Testing for epoch 38 index 14:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.0883
16/16 [==============================] - 0s 2ms/step - loss: 5.5403
16/16 [==============================] - 0s 6ms/step - loss: 5.5403
16/16 [==============================] - 0s 2ms/step - loss: 5.5403
16/16 [==============================] - 0s 3ms/step - loss: 5.5403
16/16 [==============================] - 0s 2ms/step - loss: 5.5403
16/16 [==============================] - 0s 4ms/step - loss: 5.5403
16/16 [==============================] - 0s 5ms/step - loss: 5.5403
16/16 [==============================] - 0s 2ms/step - loss: 5.5403
16/16 [==============================] - 0s 2ms/step - loss: 5.5403

Testing for epoch 38 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0981
16/16 [==============================] - 0s 3ms/step - loss: 5.5479
16/16 [==============================] - 0s 2ms/step - loss: 5.5479
16/16 [==============================] - 0s 4ms/step - loss: 5.5479
16/16 [==============================] - 0s 4ms/step - loss: 5.5479
16/16 [==============================] - 0s 3ms/step - loss: 5.5479
16/16 [==============================] - 0s 6ms/step - loss: 5.5479
16/16 [==============================] - 0s 2ms/step - loss: 5.5479
16/16 [==============================] - 0s 2ms/step - loss: 5.5479
16/16 [==============================] - 0s 2ms/step - loss: 5.5479

Testing for epoch 38 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1073
16/16 [==============================] - 0s 1ms/step - loss: 5.5601
16/16 [==============================] - 0s 2ms/step - loss: 5.5601
16/16 [==============================] - 0s 2ms/step - loss: 5.5601
16/16 [==============================] - 0s 4ms/step - loss: 5.5601
16/16 [==============================] - 0s 2ms/step - loss: 5.5601
16/16 [==============================] - 0s 4ms/step - loss: 5.5601
16/16 [==============================] - 0s 3ms/step - loss: 5.5601
16/16 [==============================] - 0s 3ms/step - loss: 5.5601
16/16 [==============================] - 0s 2ms/step - loss: 5.5601

Testing for epoch 38 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1084
16/16 [==============================] - 0s 2ms/step - loss: 5.5608
16/16 [==============================] - 0s 2ms/step - loss: 5.5608
16/16 [==============================] - 0s 5ms/step - loss: 5.5608
16/16 [==============================] - 0s 2ms/step - loss: 5.5608
16/16 [==============================] - 0s 3ms/step - loss: 5.5608
16/16 [==============================] - 0s 2ms/step - loss: 5.5608
16/16 [==============================] - 0s 2ms/step - loss: 5.5608
16/16 [==============================] - 0s 6ms/step - loss: 5.5608
16/16 [==============================] - 0s 4ms/step - loss: 5.5608

Testing for epoch 38 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1075
16/16 [==============================] - 0s 3ms/step - loss: 5.5520
16/16 [==============================] - 0s 3ms/step - loss: 5.5520
16/16 [==============================] - 0s 6ms/step - loss: 5.5520
16/16 [==============================] - 0s 2ms/step - loss: 5.5520
16/16 [==============================] - 0s 2ms/step - loss: 5.5520
16/16 [==============================] - 0s 2ms/step - loss: 5.5520
16/16 [==============================] - 0s 3ms/step - loss: 5.5520
16/16 [==============================] - 0s 3ms/step - loss: 5.5520
16/16 [==============================] - 0s 2ms/step - loss: 5.5520

Testing for epoch 38 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1040
16/16 [==============================] - 0s 3ms/step - loss: 5.5532
16/16 [==============================] - 0s 2ms/step - loss: 5.5532
16/16 [==============================] - 0s 2ms/step - loss: 5.5532
16/16 [==============================] - 0s 3ms/step - loss: 5.5532
16/16 [==============================] - 0s 6ms/step - loss: 5.5532
16/16 [==============================] - 0s 3ms/step - loss: 5.5532
16/16 [==============================] - 0s 2ms/step - loss: 5.5532
16/16 [==============================] - 0s 4ms/step - loss: 5.5532
16/16 [==============================] - 0s 3ms/step - loss: 5.5532

Testing for epoch 38 index 20:
391/391 [==============================] - 0s 941us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1177
16/16 [==============================] - 0s 2ms/step - loss: 5.5683
16/16 [==============================] - 0s 2ms/step - loss: 5.5683
16/16 [==============================] - 0s 2ms/step - loss: 5.5683
16/16 [==============================] - 0s 2ms/step - loss: 5.5683
16/16 [==============================] - 0s 2ms/step - loss: 5.5683
16/16 [==============================] - 0s 6ms/step - loss: 5.5683
16/16 [==============================] - 0s 2ms/step - loss: 5.5683
16/16 [==============================] - 0s 3ms/step - loss: 5.5683
16/16 [==============================] - 0s 2ms/step - loss: 5.5683

Testing for epoch 38 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1309
16/16 [==============================] - 0s 3ms/step - loss: 5.5865
16/16 [==============================] - 0s 2ms/step - loss: 5.5865
16/16 [==============================] - 0s 6ms/step - loss: 5.5865
16/16 [==============================] - 0s 2ms/step - loss: 5.5865
16/16 [==============================] - 0s 2ms/step - loss: 5.5865
16/16 [==============================] - 0s 3ms/step - loss: 5.5865
16/16 [==============================] - 0s 3ms/step - loss: 5.5865
16/16 [==============================] - 0s 1ms/step - loss: 5.5865
16/16 [==============================] - 0s 1ms/step - loss: 5.5865

Testing for epoch 38 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1145
16/16 [==============================] - 0s 2ms/step - loss: 5.5630
16/16 [==============================] - 0s 3ms/step - loss: 5.5630
16/16 [==============================] - 0s 2ms/step - loss: 5.5630
16/16 [==============================] - 0s 2ms/step - loss: 5.5630
16/16 [==============================] - 0s 2ms/step - loss: 5.5630
16/16 [==============================] - 0s 2ms/step - loss: 5.5630
16/16 [==============================] - 0s 2ms/step - loss: 5.5630
16/16 [==============================] - 0s 2ms/step - loss: 5.5630
16/16 [==============================] - 0s 2ms/step - loss: 5.5630

Testing for epoch 38 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1090
16/16 [==============================] - 0s 2ms/step - loss: 5.5627
16/16 [==============================] - 0s 3ms/step - loss: 5.5627
16/16 [==============================] - 0s 3ms/step - loss: 5.5627
16/16 [==============================] - 0s 3ms/step - loss: 5.5627
16/16 [==============================] - 0s 3ms/step - loss: 5.5627
16/16 [==============================] - 0s 2ms/step - loss: 5.5627
16/16 [==============================] - 0s 4ms/step - loss: 5.5627
16/16 [==============================] - 0s 2ms/step - loss: 5.5627
16/16 [==============================] - 0s 3ms/step - loss: 5.5627

Testing for epoch 38 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1204
16/16 [==============================] - 0s 2ms/step - loss: 5.5753
16/16 [==============================] - 0s 2ms/step - loss: 5.5753
16/16 [==============================] - 0s 2ms/step - loss: 5.5753
16/16 [==============================] - 0s 2ms/step - loss: 5.5753
16/16 [==============================] - 0s 2ms/step - loss: 5.5753
16/16 [==============================] - 0s 2ms/step - loss: 5.5753
16/16 [==============================] - 0s 3ms/step - loss: 5.5753
16/16 [==============================] - 0s 2ms/step - loss: 5.5753
16/16 [==============================] - 0s 3ms/step - loss: 5.5753
Epoch 39 of 60

Testing for epoch 39 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1166
16/16 [==============================] - 0s 2ms/step - loss: 5.5778
16/16 [==============================] - 0s 2ms/step - loss: 5.5778
16/16 [==============================] - 0s 2ms/step - loss: 5.5778
16/16 [==============================] - 0s 3ms/step - loss: 5.5778
16/16 [==============================] - 0s 2ms/step - loss: 5.5778
16/16 [==============================] - 0s 3ms/step - loss: 5.5778
16/16 [==============================] - 0s 4ms/step - loss: 5.5778
16/16 [==============================] - 0s 2ms/step - loss: 5.5778
16/16 [==============================] - 0s 2ms/step - loss: 5.5778

Testing for epoch 39 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.1079
16/16 [==============================] - 0s 3ms/step - loss: 5.5760
16/16 [==============================] - 0s 4ms/step - loss: 5.5760
16/16 [==============================] - 0s 2ms/step - loss: 5.5760
16/16 [==============================] - 0s 2ms/step - loss: 5.5760
16/16 [==============================] - 0s 2ms/step - loss: 5.5760
16/16 [==============================] - 0s 1ms/step - loss: 5.5760
16/16 [==============================] - 0s 4ms/step - loss: 5.5760
16/16 [==============================] - 0s 3ms/step - loss: 5.5760
16/16 [==============================] - 0s 2ms/step - loss: 5.5760

Testing for epoch 39 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1102
16/16 [==============================] - 0s 2ms/step - loss: 5.5851
16/16 [==============================] - 0s 3ms/step - loss: 5.5851
16/16 [==============================] - 0s 3ms/step - loss: 5.5851
16/16 [==============================] - 0s 2ms/step - loss: 5.5851
16/16 [==============================] - 0s 4ms/step - loss: 5.5851
16/16 [==============================] - 0s 4ms/step - loss: 5.5851
16/16 [==============================] - 0s 2ms/step - loss: 5.5851
16/16 [==============================] - 0s 2ms/step - loss: 5.5851
16/16 [==============================] - 0s 3ms/step - loss: 5.5851

Testing for epoch 39 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1136
16/16 [==============================] - 0s 2ms/step - loss: 5.5870
16/16 [==============================] - 0s 1ms/step - loss: 5.5870
16/16 [==============================] - 0s 2ms/step - loss: 5.5870
16/16 [==============================] - 0s 3ms/step - loss: 5.5870
16/16 [==============================] - 0s 3ms/step - loss: 5.5870
16/16 [==============================] - 0s 2ms/step - loss: 5.5870
16/16 [==============================] - 0s 4ms/step - loss: 5.5870
16/16 [==============================] - 0s 2ms/step - loss: 5.5870
16/16 [==============================] - 0s 2ms/step - loss: 5.5870

Testing for epoch 39 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1043
16/16 [==============================] - 0s 2ms/step - loss: 5.5880
16/16 [==============================] - 0s 3ms/step - loss: 5.5880
16/16 [==============================] - 0s 2ms/step - loss: 5.5880
16/16 [==============================] - 0s 2ms/step - loss: 5.5880
16/16 [==============================] - 0s 6ms/step - loss: 5.5880
16/16 [==============================] - 0s 3ms/step - loss: 5.5880
16/16 [==============================] - 0s 2ms/step - loss: 5.5880
16/16 [==============================] - 0s 4ms/step - loss: 5.5880
16/16 [==============================] - 0s 2ms/step - loss: 5.5880

Testing for epoch 39 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0887
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754
16/16 [==============================] - 0s 2ms/step - loss: 5.5754

Testing for epoch 39 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.0799
16/16 [==============================] - 0s 3ms/step - loss: 5.5685
16/16 [==============================] - 0s 2ms/step - loss: 5.5685
16/16 [==============================] - 0s 2ms/step - loss: 5.5685
16/16 [==============================] - 0s 2ms/step - loss: 5.5685
16/16 [==============================] - 0s 2ms/step - loss: 5.5685
16/16 [==============================] - 0s 2ms/step - loss: 5.5685
16/16 [==============================] - 0s 2ms/step - loss: 5.5685
16/16 [==============================] - 0s 2ms/step - loss: 5.5685
16/16 [==============================] - 0s 4ms/step - loss: 5.5685

Testing for epoch 39 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0639
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542
16/16 [==============================] - 0s 2ms/step - loss: 5.5542

Testing for epoch 39 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.0805
16/16 [==============================] - 0s 2ms/step - loss: 5.5712
16/16 [==============================] - 0s 3ms/step - loss: 5.5712
16/16 [==============================] - 0s 2ms/step - loss: 5.5712
16/16 [==============================] - 0s 2ms/step - loss: 5.5712
16/16 [==============================] - 0s 2ms/step - loss: 5.5712
16/16 [==============================] - 0s 2ms/step - loss: 5.5712
16/16 [==============================] - 0s 2ms/step - loss: 5.5712
16/16 [==============================] - 0s 2ms/step - loss: 5.5712
16/16 [==============================] - 0s 2ms/step - loss: 5.5712

Testing for epoch 39 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1138
16/16 [==============================] - 0s 3ms/step - loss: 5.5993
16/16 [==============================] - 0s 2ms/step - loss: 5.5993
16/16 [==============================] - 0s 2ms/step - loss: 5.5993
16/16 [==============================] - 0s 2ms/step - loss: 5.5993
16/16 [==============================] - 0s 2ms/step - loss: 5.5993
16/16 [==============================] - 0s 2ms/step - loss: 5.5993
16/16 [==============================] - 0s 3ms/step - loss: 5.5993
16/16 [==============================] - 0s 2ms/step - loss: 5.5993
16/16 [==============================] - 0s 2ms/step - loss: 5.5993

Testing for epoch 39 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1028
16/16 [==============================] - 0s 3ms/step - loss: 5.5696
16/16 [==============================] - 0s 2ms/step - loss: 5.5696
16/16 [==============================] - 0s 2ms/step - loss: 5.5696
16/16 [==============================] - 0s 2ms/step - loss: 5.5696
16/16 [==============================] - 0s 1ms/step - loss: 5.5696
16/16 [==============================] - 0s 3ms/step - loss: 5.5696
16/16 [==============================] - 0s 3ms/step - loss: 5.5696
16/16 [==============================] - 0s 2ms/step - loss: 5.5696
16/16 [==============================] - 0s 1ms/step - loss: 5.5696

Testing for epoch 39 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1240
16/16 [==============================] - 0s 2ms/step - loss: 5.5894
16/16 [==============================] - 0s 2ms/step - loss: 5.5894
16/16 [==============================] - 0s 4ms/step - loss: 5.5894
16/16 [==============================] - 0s 2ms/step - loss: 5.5894
16/16 [==============================] - 0s 2ms/step - loss: 5.5894
16/16 [==============================] - 0s 3ms/step - loss: 5.5894
16/16 [==============================] - 0s 2ms/step - loss: 5.5894
16/16 [==============================] - 0s 4ms/step - loss: 5.5894
16/16 [==============================] - 0s 2ms/step - loss: 5.5894

Testing for epoch 39 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.1358
16/16 [==============================] - 0s 2ms/step - loss: 5.5947
16/16 [==============================] - 0s 1ms/step - loss: 5.5947
16/16 [==============================] - 0s 2ms/step - loss: 5.5947
16/16 [==============================] - 0s 2ms/step - loss: 5.5947
16/16 [==============================] - 0s 2ms/step - loss: 5.5947
16/16 [==============================] - 0s 1ms/step - loss: 5.5947
16/16 [==============================] - 0s 1ms/step - loss: 5.5947
16/16 [==============================] - 0s 2ms/step - loss: 5.5947
16/16 [==============================] - 0s 2ms/step - loss: 5.5947

Testing for epoch 39 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1329
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 1ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 2ms/step - loss: 5.5830

Testing for epoch 39 index 15:
391/391 [==============================] - 0s 970us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1321
16/16 [==============================] - 0s 2ms/step - loss: 5.5784
16/16 [==============================] - 0s 2ms/step - loss: 5.5784
16/16 [==============================] - 0s 1ms/step - loss: 5.5784
16/16 [==============================] - 0s 1ms/step - loss: 5.5784
16/16 [==============================] - 0s 2ms/step - loss: 5.5784
16/16 [==============================] - 0s 2ms/step - loss: 5.5784
16/16 [==============================] - 0s 2ms/step - loss: 5.5784
16/16 [==============================] - 0s 960us/step - loss: 5.5784
16/16 [==============================] - 0s 2ms/step - loss: 5.5784

Testing for epoch 39 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1545
16/16 [==============================] - 0s 2ms/step - loss: 5.6007
16/16 [==============================] - 0s 1ms/step - loss: 5.6007
16/16 [==============================] - 0s 2ms/step - loss: 5.6007
16/16 [==============================] - 0s 2ms/step - loss: 5.6007
16/16 [==============================] - 0s 2ms/step - loss: 5.6007
16/16 [==============================] - 0s 2ms/step - loss: 5.6007
16/16 [==============================] - 0s 2ms/step - loss: 5.6007
16/16 [==============================] - 0s 1ms/step - loss: 5.6007
16/16 [==============================] - 0s 2ms/step - loss: 5.6007

Testing for epoch 39 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1808
16/16 [==============================] - 0s 2ms/step - loss: 5.6315
16/16 [==============================] - 0s 2ms/step - loss: 5.6315
16/16 [==============================] - 0s 3ms/step - loss: 5.6315
16/16 [==============================] - 0s 1ms/step - loss: 5.6315
16/16 [==============================] - 0s 2ms/step - loss: 5.6315
16/16 [==============================] - 0s 1ms/step - loss: 5.6315
16/16 [==============================] - 0s 3ms/step - loss: 5.6315
16/16 [==============================] - 0s 2ms/step - loss: 5.6315
16/16 [==============================] - 0s 2ms/step - loss: 5.6315

Testing for epoch 39 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1658
16/16 [==============================] - 0s 5ms/step - loss: 5.6134
16/16 [==============================] - 0s 4ms/step - loss: 5.6134
16/16 [==============================] - 0s 2ms/step - loss: 5.6134
16/16 [==============================] - 0s 2ms/step - loss: 5.6134
16/16 [==============================] - 0s 1ms/step - loss: 5.6134
16/16 [==============================] - 0s 2ms/step - loss: 5.6134
16/16 [==============================] - 0s 2ms/step - loss: 5.6134
16/16 [==============================] - 0s 1ms/step - loss: 5.6134
16/16 [==============================] - 0s 1ms/step - loss: 5.6134

Testing for epoch 39 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1543
16/16 [==============================] - 0s 3ms/step - loss: 5.5938
16/16 [==============================] - 0s 2ms/step - loss: 5.5938
16/16 [==============================] - 0s 2ms/step - loss: 5.5938
16/16 [==============================] - 0s 1ms/step - loss: 5.5938
16/16 [==============================] - 0s 4ms/step - loss: 5.5938
16/16 [==============================] - 0s 5ms/step - loss: 5.5938
16/16 [==============================] - 0s 2ms/step - loss: 5.5938
16/16 [==============================] - 0s 1ms/step - loss: 5.5938
16/16 [==============================] - 0s 2ms/step - loss: 5.5938

Testing for epoch 39 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1396
16/16 [==============================] - 0s 2ms/step - loss: 5.5756
16/16 [==============================] - 0s 2ms/step - loss: 5.5756
16/16 [==============================] - 0s 2ms/step - loss: 5.5756
16/16 [==============================] - 0s 2ms/step - loss: 5.5756
16/16 [==============================] - 0s 2ms/step - loss: 5.5756
16/16 [==============================] - 0s 4ms/step - loss: 5.5756
16/16 [==============================] - 0s 2ms/step - loss: 5.5756
16/16 [==============================] - 0s 2ms/step - loss: 5.5756
16/16 [==============================] - 0s 3ms/step - loss: 5.5756

Testing for epoch 39 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1481
16/16 [==============================] - 0s 2ms/step - loss: 5.5877
16/16 [==============================] - 0s 1ms/step - loss: 5.5877
16/16 [==============================] - 0s 1ms/step - loss: 5.5877
16/16 [==============================] - 0s 984us/step - loss: 5.5877
16/16 [==============================] - 0s 2ms/step - loss: 5.5877
16/16 [==============================] - 0s 2ms/step - loss: 5.5877
16/16 [==============================] - 0s 3ms/step - loss: 5.5877
16/16 [==============================] - 0s 2ms/step - loss: 5.5877
16/16 [==============================] - 0s 2ms/step - loss: 5.5877

Testing for epoch 39 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1558
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982
16/16 [==============================] - 0s 2ms/step - loss: 5.5982

Testing for epoch 39 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1788
16/16 [==============================] - 0s 1ms/step - loss: 5.6313
16/16 [==============================] - 0s 2ms/step - loss: 5.6313
16/16 [==============================] - 0s 1ms/step - loss: 5.6313
16/16 [==============================] - 0s 1ms/step - loss: 5.6313
16/16 [==============================] - 0s 2ms/step - loss: 5.6313
16/16 [==============================] - 0s 2ms/step - loss: 5.6313
16/16 [==============================] - 0s 2ms/step - loss: 5.6313
16/16 [==============================] - 0s 2ms/step - loss: 5.6313
16/16 [==============================] - 0s 1ms/step - loss: 5.6313

Testing for epoch 39 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1510
16/16 [==============================] - 0s 6ms/step - loss: 5.6020
16/16 [==============================] - 0s 1ms/step - loss: 5.6020
16/16 [==============================] - 0s 3ms/step - loss: 5.6020
16/16 [==============================] - 0s 2ms/step - loss: 5.6020
16/16 [==============================] - 0s 2ms/step - loss: 5.6020
16/16 [==============================] - 0s 2ms/step - loss: 5.6020
16/16 [==============================] - 0s 2ms/step - loss: 5.6020
16/16 [==============================] - 0s 2ms/step - loss: 5.6020
16/16 [==============================] - 0s 3ms/step - loss: 5.6020
Epoch 40 of 60

Testing for epoch 40 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1636
16/16 [==============================] - 0s 1ms/step - loss: 5.6232
16/16 [==============================] - 0s 2ms/step - loss: 5.6232
16/16 [==============================] - 0s 5ms/step - loss: 5.6232
16/16 [==============================] - 0s 2ms/step - loss: 5.6232
16/16 [==============================] - 0s 1ms/step - loss: 5.6232
16/16 [==============================] - 0s 2ms/step - loss: 5.6232
16/16 [==============================] - 0s 2ms/step - loss: 5.6232
16/16 [==============================] - 0s 2ms/step - loss: 5.6232
16/16 [==============================] - 0s 2ms/step - loss: 5.6232

Testing for epoch 40 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1594
16/16 [==============================] - 0s 2ms/step - loss: 5.6169
16/16 [==============================] - 0s 2ms/step - loss: 5.6169
16/16 [==============================] - 0s 2ms/step - loss: 5.6169
16/16 [==============================] - 0s 2ms/step - loss: 5.6169
16/16 [==============================] - 0s 2ms/step - loss: 5.6169
16/16 [==============================] - 0s 1ms/step - loss: 5.6169
16/16 [==============================] - 0s 2ms/step - loss: 5.6169
16/16 [==============================] - 0s 3ms/step - loss: 5.6169
16/16 [==============================] - 0s 3ms/step - loss: 5.6169

Testing for epoch 40 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1291
16/16 [==============================] - 0s 1ms/step - loss: 5.5855
16/16 [==============================] - 0s 2ms/step - loss: 5.5855
16/16 [==============================] - 0s 3ms/step - loss: 5.5855
16/16 [==============================] - 0s 3ms/step - loss: 5.5855
16/16 [==============================] - 0s 2ms/step - loss: 5.5855
16/16 [==============================] - 0s 2ms/step - loss: 5.5855
16/16 [==============================] - 0s 2ms/step - loss: 5.5855
16/16 [==============================] - 0s 2ms/step - loss: 5.5855
16/16 [==============================] - 0s 3ms/step - loss: 5.5855

Testing for epoch 40 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1264
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 1ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923
16/16 [==============================] - 0s 2ms/step - loss: 5.5923

Testing for epoch 40 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1580
16/16 [==============================] - 0s 1ms/step - loss: 5.6381
16/16 [==============================] - 0s 2ms/step - loss: 5.6381
16/16 [==============================] - 0s 3ms/step - loss: 5.6381
16/16 [==============================] - 0s 2ms/step - loss: 5.6381
16/16 [==============================] - 0s 2ms/step - loss: 5.6381
16/16 [==============================] - 0s 2ms/step - loss: 5.6381
16/16 [==============================] - 0s 2ms/step - loss: 5.6381
16/16 [==============================] - 0s 2ms/step - loss: 5.6381
16/16 [==============================] - 0s 3ms/step - loss: 5.6381

Testing for epoch 40 index 6:
391/391 [==============================] - 0s 973us/step
16/16 [==============================] - 0s 4ms/step - loss: 5.1313
16/16 [==============================] - 0s 1ms/step - loss: 5.6071
16/16 [==============================] - 0s 1ms/step - loss: 5.6071
16/16 [==============================] - 0s 2ms/step - loss: 5.6071
16/16 [==============================] - 0s 1ms/step - loss: 5.6071
16/16 [==============================] - 0s 5ms/step - loss: 5.6071
16/16 [==============================] - 0s 2ms/step - loss: 5.6071
16/16 [==============================] - 0s 3ms/step - loss: 5.6071
16/16 [==============================] - 0s 3ms/step - loss: 5.6071
16/16 [==============================] - 0s 2ms/step - loss: 5.6071

Testing for epoch 40 index 7:
391/391 [==============================] - 0s 997us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1177
16/16 [==============================] - 0s 2ms/step - loss: 5.5927
16/16 [==============================] - 0s 2ms/step - loss: 5.5927
16/16 [==============================] - 0s 1ms/step - loss: 5.5927
16/16 [==============================] - 0s 3ms/step - loss: 5.5927
16/16 [==============================] - 0s 2ms/step - loss: 5.5927
16/16 [==============================] - 0s 2ms/step - loss: 5.5927
16/16 [==============================] - 0s 2ms/step - loss: 5.5927
16/16 [==============================] - 0s 2ms/step - loss: 5.5927
16/16 [==============================] - 0s 4ms/step - loss: 5.5927

Testing for epoch 40 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1125
16/16 [==============================] - 0s 1ms/step - loss: 5.5992
16/16 [==============================] - 0s 4ms/step - loss: 5.5992
16/16 [==============================] - 0s 1ms/step - loss: 5.5992
16/16 [==============================] - 0s 2ms/step - loss: 5.5992
16/16 [==============================] - 0s 2ms/step - loss: 5.5992
16/16 [==============================] - 0s 2ms/step - loss: 5.5992
16/16 [==============================] - 0s 2ms/step - loss: 5.5992
16/16 [==============================] - 0s 3ms/step - loss: 5.5992
16/16 [==============================] - 0s 2ms/step - loss: 5.5992

Testing for epoch 40 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1454
16/16 [==============================] - 0s 2ms/step - loss: 5.6373
16/16 [==============================] - 0s 2ms/step - loss: 5.6373
16/16 [==============================] - 0s 1ms/step - loss: 5.6373
16/16 [==============================] - 0s 2ms/step - loss: 5.6373
16/16 [==============================] - 0s 2ms/step - loss: 5.6373
16/16 [==============================] - 0s 2ms/step - loss: 5.6373
16/16 [==============================] - 0s 1ms/step - loss: 5.6373
16/16 [==============================] - 0s 5ms/step - loss: 5.6373
16/16 [==============================] - 0s 2ms/step - loss: 5.6373

Testing for epoch 40 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1428
16/16 [==============================] - 0s 3ms/step - loss: 5.6171
16/16 [==============================] - 0s 3ms/step - loss: 5.6171
16/16 [==============================] - 0s 2ms/step - loss: 5.6171
16/16 [==============================] - 0s 1ms/step - loss: 5.6171
16/16 [==============================] - 0s 3ms/step - loss: 5.6171
16/16 [==============================] - 0s 2ms/step - loss: 5.6171
16/16 [==============================] - 0s 1ms/step - loss: 5.6171
16/16 [==============================] - 0s 1ms/step - loss: 5.6171
16/16 [==============================] - 0s 3ms/step - loss: 5.6171

Testing for epoch 40 index 11:
391/391 [==============================] - 0s 987us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1541
16/16 [==============================] - 0s 3ms/step - loss: 5.6191
16/16 [==============================] - 0s 2ms/step - loss: 5.6191
16/16 [==============================] - 0s 3ms/step - loss: 5.6191
16/16 [==============================] - 0s 2ms/step - loss: 5.6191
16/16 [==============================] - 0s 2ms/step - loss: 5.6191
16/16 [==============================] - 0s 3ms/step - loss: 5.6191
16/16 [==============================] - 0s 2ms/step - loss: 5.6191
16/16 [==============================] - 0s 1ms/step - loss: 5.6191
16/16 [==============================] - 0s 1ms/step - loss: 5.6191

Testing for epoch 40 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1651
16/16 [==============================] - 0s 3ms/step - loss: 5.6233
16/16 [==============================] - 0s 2ms/step - loss: 5.6233
16/16 [==============================] - 0s 3ms/step - loss: 5.6233
16/16 [==============================] - 0s 2ms/step - loss: 5.6233
16/16 [==============================] - 0s 2ms/step - loss: 5.6233
16/16 [==============================] - 0s 2ms/step - loss: 5.6233
16/16 [==============================] - 0s 1ms/step - loss: 5.6233
16/16 [==============================] - 0s 3ms/step - loss: 5.6233
16/16 [==============================] - 0s 2ms/step - loss: 5.6233

Testing for epoch 40 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1622
16/16 [==============================] - 0s 1ms/step - loss: 5.6108
16/16 [==============================] - 0s 1ms/step - loss: 5.6108
16/16 [==============================] - 0s 2ms/step - loss: 5.6108
16/16 [==============================] - 0s 1ms/step - loss: 5.6108
16/16 [==============================] - 0s 2ms/step - loss: 5.6108
16/16 [==============================] - 0s 3ms/step - loss: 5.6108
16/16 [==============================] - 0s 1ms/step - loss: 5.6108
16/16 [==============================] - 0s 2ms/step - loss: 5.6108
16/16 [==============================] - 0s 2ms/step - loss: 5.6108

Testing for epoch 40 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1579
16/16 [==============================] - 0s 2ms/step - loss: 5.5942
16/16 [==============================] - 0s 1ms/step - loss: 5.5942
16/16 [==============================] - 0s 2ms/step - loss: 5.5942
16/16 [==============================] - 0s 1ms/step - loss: 5.5942
16/16 [==============================] - 0s 3ms/step - loss: 5.5942
16/16 [==============================] - 0s 1ms/step - loss: 5.5942
16/16 [==============================] - 0s 2ms/step - loss: 5.5942
16/16 [==============================] - 0s 1ms/step - loss: 5.5942
16/16 [==============================] - 0s 1ms/step - loss: 5.5942

Testing for epoch 40 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1840
16/16 [==============================] - 0s 1ms/step - loss: 5.6220
16/16 [==============================] - 0s 2ms/step - loss: 5.6220
16/16 [==============================] - 0s 3ms/step - loss: 5.6220
16/16 [==============================] - 0s 2ms/step - loss: 5.6220
16/16 [==============================] - 0s 2ms/step - loss: 5.6220
16/16 [==============================] - 0s 2ms/step - loss: 5.6220
16/16 [==============================] - 0s 2ms/step - loss: 5.6220
16/16 [==============================] - 0s 2ms/step - loss: 5.6220
16/16 [==============================] - 0s 2ms/step - loss: 5.6220

Testing for epoch 40 index 16:
391/391 [==============================] - 0s 964us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1905
16/16 [==============================] - 0s 2ms/step - loss: 5.6282
16/16 [==============================] - 0s 3ms/step - loss: 5.6282
16/16 [==============================] - 0s 2ms/step - loss: 5.6282
16/16 [==============================] - 0s 1ms/step - loss: 5.6282
16/16 [==============================] - 0s 2ms/step - loss: 5.6282
16/16 [==============================] - 0s 5ms/step - loss: 5.6282
16/16 [==============================] - 0s 2ms/step - loss: 5.6282
16/16 [==============================] - 0s 1ms/step - loss: 5.6282
16/16 [==============================] - 0s 2ms/step - loss: 5.6282

Testing for epoch 40 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1990
16/16 [==============================] - 0s 2ms/step - loss: 5.6382
16/16 [==============================] - 0s 1ms/step - loss: 5.6382
16/16 [==============================] - 0s 2ms/step - loss: 5.6382
16/16 [==============================] - 0s 2ms/step - loss: 5.6382
16/16 [==============================] - 0s 1ms/step - loss: 5.6382
16/16 [==============================] - 0s 3ms/step - loss: 5.6382
16/16 [==============================] - 0s 2ms/step - loss: 5.6382
16/16 [==============================] - 0s 2ms/step - loss: 5.6382
16/16 [==============================] - 0s 3ms/step - loss: 5.6382

Testing for epoch 40 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1866
16/16 [==============================] - 0s 2ms/step - loss: 5.6190
16/16 [==============================] - 0s 2ms/step - loss: 5.6190
16/16 [==============================] - 0s 4ms/step - loss: 5.6190
16/16 [==============================] - 0s 2ms/step - loss: 5.6190
16/16 [==============================] - 0s 1ms/step - loss: 5.6190
16/16 [==============================] - 0s 3ms/step - loss: 5.6190
16/16 [==============================] - 0s 4ms/step - loss: 5.6190
16/16 [==============================] - 0s 2ms/step - loss: 5.6190
16/16 [==============================] - 0s 3ms/step - loss: 5.6190

Testing for epoch 40 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2130
16/16 [==============================] - 0s 2ms/step - loss: 5.6497
16/16 [==============================] - 0s 2ms/step - loss: 5.6497
16/16 [==============================] - 0s 2ms/step - loss: 5.6497
16/16 [==============================] - 0s 1ms/step - loss: 5.6497
16/16 [==============================] - 0s 2ms/step - loss: 5.6497
16/16 [==============================] - 0s 1ms/step - loss: 5.6497
16/16 [==============================] - 0s 2ms/step - loss: 5.6497
16/16 [==============================] - 0s 2ms/step - loss: 5.6497
16/16 [==============================] - 0s 2ms/step - loss: 5.6497

Testing for epoch 40 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.1991
16/16 [==============================] - 0s 2ms/step - loss: 5.6351
16/16 [==============================] - 0s 2ms/step - loss: 5.6351
16/16 [==============================] - 0s 2ms/step - loss: 5.6351
16/16 [==============================] - 0s 2ms/step - loss: 5.6351
16/16 [==============================] - 0s 1ms/step - loss: 5.6351
16/16 [==============================] - 0s 2ms/step - loss: 5.6351
16/16 [==============================] - 0s 3ms/step - loss: 5.6351
16/16 [==============================] - 0s 2ms/step - loss: 5.6351
16/16 [==============================] - 0s 3ms/step - loss: 5.6351

Testing for epoch 40 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1912
16/16 [==============================] - 0s 2ms/step - loss: 5.6247
16/16 [==============================] - 0s 3ms/step - loss: 5.6247
16/16 [==============================] - 0s 1ms/step - loss: 5.6247
16/16 [==============================] - 0s 2ms/step - loss: 5.6247
16/16 [==============================] - 0s 2ms/step - loss: 5.6247
16/16 [==============================] - 0s 1ms/step - loss: 5.6247
16/16 [==============================] - 0s 1ms/step - loss: 5.6247
16/16 [==============================] - 0s 3ms/step - loss: 5.6247
16/16 [==============================] - 0s 1ms/step - loss: 5.6247

Testing for epoch 40 index 22:
391/391 [==============================] - 0s 973us/step
16/16 [==============================] - 0s 4ms/step - loss: 5.1792
16/16 [==============================] - 0s 2ms/step - loss: 5.6115
16/16 [==============================] - 0s 2ms/step - loss: 5.6115
16/16 [==============================] - 0s 2ms/step - loss: 5.6115
16/16 [==============================] - 0s 2ms/step - loss: 5.6115
16/16 [==============================] - 0s 2ms/step - loss: 5.6115
16/16 [==============================] - 0s 2ms/step - loss: 5.6115
16/16 [==============================] - 0s 1ms/step - loss: 5.6115
16/16 [==============================] - 0s 2ms/step - loss: 5.6115
16/16 [==============================] - 0s 3ms/step - loss: 5.6115

Testing for epoch 40 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1917
16/16 [==============================] - 0s 1ms/step - loss: 5.6322
16/16 [==============================] - 0s 2ms/step - loss: 5.6322
16/16 [==============================] - 0s 2ms/step - loss: 5.6322
16/16 [==============================] - 0s 1ms/step - loss: 5.6322
16/16 [==============================] - 0s 2ms/step - loss: 5.6322
16/16 [==============================] - 0s 2ms/step - loss: 5.6322
16/16 [==============================] - 0s 3ms/step - loss: 5.6322
16/16 [==============================] - 0s 3ms/step - loss: 5.6322
16/16 [==============================] - 0s 2ms/step - loss: 5.6322

Testing for epoch 40 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2061
16/16 [==============================] - 0s 1ms/step - loss: 5.6537
16/16 [==============================] - 0s 2ms/step - loss: 5.6537
16/16 [==============================] - 0s 1ms/step - loss: 5.6537
16/16 [==============================] - 0s 2ms/step - loss: 5.6537
16/16 [==============================] - 0s 2ms/step - loss: 5.6537
16/16 [==============================] - 0s 2ms/step - loss: 5.6537
16/16 [==============================] - 0s 2ms/step - loss: 5.6537
16/16 [==============================] - 0s 2ms/step - loss: 5.6537
16/16 [==============================] - 0s 2ms/step - loss: 5.6537
Epoch 41 of 60

Testing for epoch 41 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1986
16/16 [==============================] - 0s 2ms/step - loss: 5.6502
16/16 [==============================] - 0s 2ms/step - loss: 5.6502
16/16 [==============================] - 0s 2ms/step - loss: 5.6502
16/16 [==============================] - 0s 2ms/step - loss: 5.6502
16/16 [==============================] - 0s 2ms/step - loss: 5.6502
16/16 [==============================] - 0s 2ms/step - loss: 5.6502
16/16 [==============================] - 0s 3ms/step - loss: 5.6502
16/16 [==============================] - 0s 1ms/step - loss: 5.6502
16/16 [==============================] - 0s 2ms/step - loss: 5.6502

Testing for epoch 41 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2028
16/16 [==============================] - 0s 4ms/step - loss: 5.6524
16/16 [==============================] - 0s 4ms/step - loss: 5.6524
16/16 [==============================] - 0s 2ms/step - loss: 5.6524
16/16 [==============================] - 0s 3ms/step - loss: 5.6524
16/16 [==============================] - 0s 2ms/step - loss: 5.6524
16/16 [==============================] - 0s 2ms/step - loss: 5.6524
16/16 [==============================] - 0s 2ms/step - loss: 5.6524
16/16 [==============================] - 0s 2ms/step - loss: 5.6524
16/16 [==============================] - 0s 2ms/step - loss: 5.6524

Testing for epoch 41 index 3:
391/391 [==============================] - 0s 995us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1858
16/16 [==============================] - 0s 1ms/step - loss: 5.6367
16/16 [==============================] - 0s 2ms/step - loss: 5.6367
16/16 [==============================] - 0s 4ms/step - loss: 5.6367
16/16 [==============================] - 0s 2ms/step - loss: 5.6367
16/16 [==============================] - 0s 1ms/step - loss: 5.6367
16/16 [==============================] - 0s 2ms/step - loss: 5.6367
16/16 [==============================] - 0s 1ms/step - loss: 5.6367
16/16 [==============================] - 0s 2ms/step - loss: 5.6367
16/16 [==============================] - 0s 4ms/step - loss: 5.6367

Testing for epoch 41 index 4:
391/391 [==============================] - 0s 959us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1800
16/16 [==============================] - 0s 5ms/step - loss: 5.6416
16/16 [==============================] - 0s 1ms/step - loss: 5.6416
16/16 [==============================] - 0s 2ms/step - loss: 5.6416
16/16 [==============================] - 0s 3ms/step - loss: 5.6416
16/16 [==============================] - 0s 2ms/step - loss: 5.6416
16/16 [==============================] - 0s 3ms/step - loss: 5.6416
16/16 [==============================] - 0s 2ms/step - loss: 5.6416
16/16 [==============================] - 0s 3ms/step - loss: 5.6416
16/16 [==============================] - 0s 2ms/step - loss: 5.6416

Testing for epoch 41 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1974
16/16 [==============================] - 0s 1ms/step - loss: 5.6667
16/16 [==============================] - 0s 3ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 4ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 1ms/step - loss: 5.6667

Testing for epoch 41 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1802
16/16 [==============================] - 0s 2ms/step - loss: 5.6515
16/16 [==============================] - 0s 1ms/step - loss: 5.6515
16/16 [==============================] - 0s 3ms/step - loss: 5.6515
16/16 [==============================] - 0s 2ms/step - loss: 5.6515
16/16 [==============================] - 0s 1ms/step - loss: 5.6515
16/16 [==============================] - 0s 2ms/step - loss: 5.6515
16/16 [==============================] - 0s 2ms/step - loss: 5.6515
16/16 [==============================] - 0s 3ms/step - loss: 5.6515
16/16 [==============================] - 0s 2ms/step - loss: 5.6515

Testing for epoch 41 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1666
16/16 [==============================] - 0s 3ms/step - loss: 5.6451
16/16 [==============================] - 0s 2ms/step - loss: 5.6451
16/16 [==============================] - 0s 1ms/step - loss: 5.6451
16/16 [==============================] - 0s 3ms/step - loss: 5.6451
16/16 [==============================] - 0s 2ms/step - loss: 5.6451
16/16 [==============================] - 0s 1ms/step - loss: 5.6451
16/16 [==============================] - 0s 2ms/step - loss: 5.6451
16/16 [==============================] - 0s 1ms/step - loss: 5.6451
16/16 [==============================] - 0s 2ms/step - loss: 5.6451

Testing for epoch 41 index 8:
391/391 [==============================] - 0s 937us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1651
16/16 [==============================] - 0s 2ms/step - loss: 5.6470
16/16 [==============================] - 0s 2ms/step - loss: 5.6470
16/16 [==============================] - 0s 1ms/step - loss: 5.6470
16/16 [==============================] - 0s 2ms/step - loss: 5.6470
16/16 [==============================] - 0s 2ms/step - loss: 5.6470
16/16 [==============================] - 0s 1ms/step - loss: 5.6470
16/16 [==============================] - 0s 1ms/step - loss: 5.6470
16/16 [==============================] - 0s 2ms/step - loss: 5.6470
16/16 [==============================] - 0s 2ms/step - loss: 5.6470

Testing for epoch 41 index 9:
391/391 [==============================] - 0s 949us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.1819
16/16 [==============================] - 0s 2ms/step - loss: 5.6640
16/16 [==============================] - 0s 1ms/step - loss: 5.6640
16/16 [==============================] - 0s 1ms/step - loss: 5.6640
16/16 [==============================] - 0s 2ms/step - loss: 5.6640
16/16 [==============================] - 0s 1ms/step - loss: 5.6640
16/16 [==============================] - 0s 2ms/step - loss: 5.6640
16/16 [==============================] - 0s 3ms/step - loss: 5.6640
16/16 [==============================] - 0s 2ms/step - loss: 5.6640
16/16 [==============================] - 0s 3ms/step - loss: 5.6640

Testing for epoch 41 index 10:
391/391 [==============================] - 0s 982us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.1936
16/16 [==============================] - 0s 2ms/step - loss: 5.6633
16/16 [==============================] - 0s 2ms/step - loss: 5.6633
16/16 [==============================] - 0s 2ms/step - loss: 5.6633
16/16 [==============================] - 0s 1ms/step - loss: 5.6633
16/16 [==============================] - 0s 1ms/step - loss: 5.6633
16/16 [==============================] - 0s 1ms/step - loss: 5.6633
16/16 [==============================] - 0s 3ms/step - loss: 5.6633
16/16 [==============================] - 0s 4ms/step - loss: 5.6633
16/16 [==============================] - 0s 1ms/step - loss: 5.6633

Testing for epoch 41 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 937us/step - loss: 5.1838
16/16 [==============================] - 0s 1ms/step - loss: 5.6374
16/16 [==============================] - 0s 2ms/step - loss: 5.6374
16/16 [==============================] - 0s 1ms/step - loss: 5.6374
16/16 [==============================] - 0s 2ms/step - loss: 5.6374
16/16 [==============================] - 0s 2ms/step - loss: 5.6374
16/16 [==============================] - 0s 2ms/step - loss: 5.6374
16/16 [==============================] - 0s 3ms/step - loss: 5.6374
16/16 [==============================] - 0s 2ms/step - loss: 5.6374
16/16 [==============================] - 0s 2ms/step - loss: 5.6374

Testing for epoch 41 index 12:
391/391 [==============================] - 0s 919us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2115
16/16 [==============================] - 0s 2ms/step - loss: 5.6685
16/16 [==============================] - 0s 3ms/step - loss: 5.6685
16/16 [==============================] - 0s 1ms/step - loss: 5.6685
16/16 [==============================] - 0s 970us/step - loss: 5.6685
16/16 [==============================] - 0s 980us/step - loss: 5.6685
16/16 [==============================] - 0s 3ms/step - loss: 5.6685
16/16 [==============================] - 0s 2ms/step - loss: 5.6685
16/16 [==============================] - 0s 1ms/step - loss: 5.6685
16/16 [==============================] - 0s 948us/step - loss: 5.6685

Testing for epoch 41 index 13:
391/391 [==============================] - 0s 983us/step
16/16 [==============================] - 0s 833us/step - loss: 5.2229
16/16 [==============================] - 0s 881us/step - loss: 5.6689
16/16 [==============================] - 0s 932us/step - loss: 5.6689
16/16 [==============================] - 0s 933us/step - loss: 5.6689
16/16 [==============================] - 0s 2ms/step - loss: 5.6689
16/16 [==============================] - 0s 2ms/step - loss: 5.6689
16/16 [==============================] - 0s 916us/step - loss: 5.6689
16/16 [==============================] - 0s 851us/step - loss: 5.6689
16/16 [==============================] - 0s 823us/step - loss: 5.6689
16/16 [==============================] - 0s 850us/step - loss: 5.6689

Testing for epoch 41 index 14:
391/391 [==============================] - 0s 911us/step
16/16 [==============================] - 0s 882us/step - loss: 5.2196
16/16 [==============================] - 0s 910us/step - loss: 5.6559
16/16 [==============================] - 0s 882us/step - loss: 5.6559
16/16 [==============================] - 0s 935us/step - loss: 5.6559
16/16 [==============================] - 0s 963us/step - loss: 5.6559
16/16 [==============================] - 0s 1ms/step - loss: 5.6559
16/16 [==============================] - 0s 1ms/step - loss: 5.6559
16/16 [==============================] - 0s 895us/step - loss: 5.6559
16/16 [==============================] - 0s 4ms/step - loss: 5.6559
16/16 [==============================] - 0s 2ms/step - loss: 5.6559

Testing for epoch 41 index 15:
391/391 [==============================] - 0s 612us/step
16/16 [==============================] - 0s 867us/step - loss: 5.2324
16/16 [==============================] - 0s 856us/step - loss: 5.6703
16/16 [==============================] - 0s 873us/step - loss: 5.6703
16/16 [==============================] - 0s 875us/step - loss: 5.6703
16/16 [==============================] - 0s 889us/step - loss: 5.6703
16/16 [==============================] - 0s 855us/step - loss: 5.6703
16/16 [==============================] - 0s 854us/step - loss: 5.6703
16/16 [==============================] - 0s 848us/step - loss: 5.6703
16/16 [==============================] - 0s 883us/step - loss: 5.6703
16/16 [==============================] - 0s 898us/step - loss: 5.6703

Testing for epoch 41 index 16:
391/391 [==============================] - 0s 627us/step
16/16 [==============================] - 0s 871us/step - loss: 5.2368
16/16 [==============================] - 0s 853us/step - loss: 5.6691
16/16 [==============================] - 0s 924us/step - loss: 5.6691
16/16 [==============================] - 0s 932us/step - loss: 5.6691
16/16 [==============================] - 0s 857us/step - loss: 5.6691
16/16 [==============================] - 0s 869us/step - loss: 5.6691
16/16 [==============================] - 0s 885us/step - loss: 5.6691
16/16 [==============================] - 0s 882us/step - loss: 5.6691
16/16 [==============================] - 0s 885us/step - loss: 5.6691
16/16 [==============================] - 0s 885us/step - loss: 5.6691

Testing for epoch 41 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2371
16/16 [==============================] - 0s 2ms/step - loss: 5.6700
16/16 [==============================] - 0s 3ms/step - loss: 5.6700
16/16 [==============================] - 0s 4ms/step - loss: 5.6700
16/16 [==============================] - 0s 2ms/step - loss: 5.6700
16/16 [==============================] - 0s 3ms/step - loss: 5.6700
16/16 [==============================] - 0s 2ms/step - loss: 5.6700
16/16 [==============================] - 0s 2ms/step - loss: 5.6700
16/16 [==============================] - 0s 2ms/step - loss: 5.6700
16/16 [==============================] - 0s 4ms/step - loss: 5.6700

Testing for epoch 41 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.2292
16/16 [==============================] - 0s 2ms/step - loss: 5.6522
16/16 [==============================] - 0s 3ms/step - loss: 5.6522
16/16 [==============================] - 0s 2ms/step - loss: 5.6522
16/16 [==============================] - 0s 2ms/step - loss: 5.6522
16/16 [==============================] - 0s 3ms/step - loss: 5.6522
16/16 [==============================] - 0s 3ms/step - loss: 5.6522
16/16 [==============================] - 0s 2ms/step - loss: 5.6522
16/16 [==============================] - 0s 4ms/step - loss: 5.6522
16/16 [==============================] - 0s 2ms/step - loss: 5.6522

Testing for epoch 41 index 19:
391/391 [==============================] - 0s 853us/step
16/16 [==============================] - 0s 979us/step - loss: 5.2452
16/16 [==============================] - 0s 1ms/step - loss: 5.6802
16/16 [==============================] - 0s 860us/step - loss: 5.6802
16/16 [==============================] - 0s 1ms/step - loss: 5.6802
16/16 [==============================] - 0s 2ms/step - loss: 5.6802
16/16 [==============================] - 0s 2ms/step - loss: 5.6802
16/16 [==============================] - 0s 1ms/step - loss: 5.6802
16/16 [==============================] - 0s 2ms/step - loss: 5.6802
16/16 [==============================] - 0s 1ms/step - loss: 5.6802
16/16 [==============================] - 0s 1ms/step - loss: 5.6802

Testing for epoch 41 index 20:
391/391 [==============================] - 0s 998us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2394
16/16 [==============================] - 0s 1ms/step - loss: 5.6758
16/16 [==============================] - 0s 3ms/step - loss: 5.6758
16/16 [==============================] - 0s 2ms/step - loss: 5.6758
16/16 [==============================] - 0s 2ms/step - loss: 5.6758
16/16 [==============================] - 0s 1ms/step - loss: 5.6758
16/16 [==============================] - 0s 2ms/step - loss: 5.6758
16/16 [==============================] - 0s 2ms/step - loss: 5.6758
16/16 [==============================] - 0s 2ms/step - loss: 5.6758
16/16 [==============================] - 0s 2ms/step - loss: 5.6758

Testing for epoch 41 index 21:
391/391 [==============================] - 0s 985us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2140
16/16 [==============================] - 0s 2ms/step - loss: 5.6388
16/16 [==============================] - 0s 1ms/step - loss: 5.6388
16/16 [==============================] - 0s 1ms/step - loss: 5.6388
16/16 [==============================] - 0s 1ms/step - loss: 5.6388
16/16 [==============================] - 0s 3ms/step - loss: 5.6388
16/16 [==============================] - 0s 1ms/step - loss: 5.6388
16/16 [==============================] - 0s 1ms/step - loss: 5.6388
16/16 [==============================] - 0s 2ms/step - loss: 5.6388
16/16 [==============================] - 0s 2ms/step - loss: 5.6388

Testing for epoch 41 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2461
16/16 [==============================] - 0s 2ms/step - loss: 5.6845
16/16 [==============================] - 0s 2ms/step - loss: 5.6845
16/16 [==============================] - 0s 2ms/step - loss: 5.6845
16/16 [==============================] - 0s 2ms/step - loss: 5.6845
16/16 [==============================] - 0s 2ms/step - loss: 5.6845
16/16 [==============================] - 0s 2ms/step - loss: 5.6845
16/16 [==============================] - 0s 1ms/step - loss: 5.6845
16/16 [==============================] - 0s 2ms/step - loss: 5.6845
16/16 [==============================] - 0s 2ms/step - loss: 5.6845

Testing for epoch 41 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2184
16/16 [==============================] - 0s 4ms/step - loss: 5.6507
16/16 [==============================] - 0s 1ms/step - loss: 5.6507
16/16 [==============================] - 0s 2ms/step - loss: 5.6507
16/16 [==============================] - 0s 2ms/step - loss: 5.6507
16/16 [==============================] - 0s 2ms/step - loss: 5.6507
16/16 [==============================] - 0s 2ms/step - loss: 5.6507
16/16 [==============================] - 0s 2ms/step - loss: 5.6507
16/16 [==============================] - 0s 1ms/step - loss: 5.6507
16/16 [==============================] - 0s 2ms/step - loss: 5.6507

Testing for epoch 41 index 24:
391/391 [==============================] - 0s 990us/step
16/16 [==============================] - 0s 4ms/step - loss: 5.2231
16/16 [==============================] - 0s 2ms/step - loss: 5.6576
16/16 [==============================] - 0s 2ms/step - loss: 5.6576
16/16 [==============================] - 0s 2ms/step - loss: 5.6576
16/16 [==============================] - 0s 1ms/step - loss: 5.6576
16/16 [==============================] - 0s 1ms/step - loss: 5.6576
16/16 [==============================] - 0s 2ms/step - loss: 5.6576
16/16 [==============================] - 0s 2ms/step - loss: 5.6576
16/16 [==============================] - 0s 2ms/step - loss: 5.6576
16/16 [==============================] - 0s 2ms/step - loss: 5.6576
Epoch 42 of 60

Testing for epoch 42 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2356
16/16 [==============================] - 0s 3ms/step - loss: 5.6790
16/16 [==============================] - 0s 3ms/step - loss: 5.6790
16/16 [==============================] - 0s 2ms/step - loss: 5.6790
16/16 [==============================] - 0s 2ms/step - loss: 5.6790
16/16 [==============================] - 0s 2ms/step - loss: 5.6790
16/16 [==============================] - 0s 2ms/step - loss: 5.6790
16/16 [==============================] - 0s 3ms/step - loss: 5.6790
16/16 [==============================] - 0s 2ms/step - loss: 5.6790
16/16 [==============================] - 0s 2ms/step - loss: 5.6790

Testing for epoch 42 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2205
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 1ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643
16/16 [==============================] - 0s 3ms/step - loss: 5.6643
16/16 [==============================] - 0s 1ms/step - loss: 5.6643
16/16 [==============================] - 0s 2ms/step - loss: 5.6643

Testing for epoch 42 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2387
16/16 [==============================] - 0s 2ms/step - loss: 5.6940
16/16 [==============================] - 0s 2ms/step - loss: 5.6940
16/16 [==============================] - 0s 2ms/step - loss: 5.6940
16/16 [==============================] - 0s 2ms/step - loss: 5.6940
16/16 [==============================] - 0s 2ms/step - loss: 5.6940
16/16 [==============================] - 0s 2ms/step - loss: 5.6940
16/16 [==============================] - 0s 2ms/step - loss: 5.6940
16/16 [==============================] - 0s 3ms/step - loss: 5.6940
16/16 [==============================] - 0s 2ms/step - loss: 5.6940

Testing for epoch 42 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2263
16/16 [==============================] - 0s 3ms/step - loss: 5.6815
16/16 [==============================] - 0s 2ms/step - loss: 5.6815
16/16 [==============================] - 0s 2ms/step - loss: 5.6815
16/16 [==============================] - 0s 2ms/step - loss: 5.6815
16/16 [==============================] - 0s 2ms/step - loss: 5.6815
16/16 [==============================] - 0s 2ms/step - loss: 5.6815
16/16 [==============================] - 0s 3ms/step - loss: 5.6815
16/16 [==============================] - 0s 4ms/step - loss: 5.6815
16/16 [==============================] - 0s 1ms/step - loss: 5.6815

Testing for epoch 42 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2213
16/16 [==============================] - 0s 3ms/step - loss: 5.6816
16/16 [==============================] - 0s 1ms/step - loss: 5.6816
16/16 [==============================] - 0s 2ms/step - loss: 5.6816
16/16 [==============================] - 0s 2ms/step - loss: 5.6816
16/16 [==============================] - 0s 2ms/step - loss: 5.6816
16/16 [==============================] - 0s 2ms/step - loss: 5.6816
16/16 [==============================] - 0s 2ms/step - loss: 5.6816
16/16 [==============================] - 0s 2ms/step - loss: 5.6816
16/16 [==============================] - 0s 1ms/step - loss: 5.6816

Testing for epoch 42 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2063
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667
16/16 [==============================] - 0s 5ms/step - loss: 5.6667
16/16 [==============================] - 0s 2ms/step - loss: 5.6667

Testing for epoch 42 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2009
16/16 [==============================] - 0s 2ms/step - loss: 5.6671
16/16 [==============================] - 0s 1ms/step - loss: 5.6671
16/16 [==============================] - 0s 2ms/step - loss: 5.6671
16/16 [==============================] - 0s 2ms/step - loss: 5.6671
16/16 [==============================] - 0s 3ms/step - loss: 5.6671
16/16 [==============================] - 0s 1ms/step - loss: 5.6671
16/16 [==============================] - 0s 1ms/step - loss: 5.6671
16/16 [==============================] - 0s 2ms/step - loss: 5.6671
16/16 [==============================] - 0s 1ms/step - loss: 5.6671

Testing for epoch 42 index 8:
391/391 [==============================] - 0s 986us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2129
16/16 [==============================] - 0s 4ms/step - loss: 5.6862
16/16 [==============================] - 0s 3ms/step - loss: 5.6862
16/16 [==============================] - 0s 3ms/step - loss: 5.6862
16/16 [==============================] - 0s 1ms/step - loss: 5.6862
16/16 [==============================] - 0s 3ms/step - loss: 5.6862
16/16 [==============================] - 0s 2ms/step - loss: 5.6862
16/16 [==============================] - 0s 2ms/step - loss: 5.6862
16/16 [==============================] - 0s 2ms/step - loss: 5.6862
16/16 [==============================] - 0s 1ms/step - loss: 5.6862

Testing for epoch 42 index 9:
391/391 [==============================] - 0s 892us/step
16/16 [==============================] - 0s 4ms/step - loss: 5.2164
16/16 [==============================] - 0s 2ms/step - loss: 5.6900
16/16 [==============================] - 0s 2ms/step - loss: 5.6900
16/16 [==============================] - 0s 3ms/step - loss: 5.6900
16/16 [==============================] - 0s 2ms/step - loss: 5.6900
16/16 [==============================] - 0s 2ms/step - loss: 5.6900
16/16 [==============================] - 0s 2ms/step - loss: 5.6900
16/16 [==============================] - 0s 2ms/step - loss: 5.6900
16/16 [==============================] - 0s 2ms/step - loss: 5.6900
16/16 [==============================] - 0s 3ms/step - loss: 5.6900

Testing for epoch 42 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2282
16/16 [==============================] - 0s 3ms/step - loss: 5.6849
16/16 [==============================] - 0s 2ms/step - loss: 5.6849
16/16 [==============================] - 0s 3ms/step - loss: 5.6849
16/16 [==============================] - 0s 3ms/step - loss: 5.6849
16/16 [==============================] - 0s 2ms/step - loss: 5.6849
16/16 [==============================] - 0s 1ms/step - loss: 5.6849
16/16 [==============================] - 0s 2ms/step - loss: 5.6849
16/16 [==============================] - 0s 2ms/step - loss: 5.6849
16/16 [==============================] - 0s 3ms/step - loss: 5.6849

Testing for epoch 42 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2496
16/16 [==============================] - 0s 2ms/step - loss: 5.7074
16/16 [==============================] - 0s 3ms/step - loss: 5.7074
16/16 [==============================] - 0s 3ms/step - loss: 5.7074
16/16 [==============================] - 0s 4ms/step - loss: 5.7074
16/16 [==============================] - 0s 2ms/step - loss: 5.7074
16/16 [==============================] - 0s 2ms/step - loss: 5.7074
16/16 [==============================] - 0s 2ms/step - loss: 5.7074
16/16 [==============================] - 0s 2ms/step - loss: 5.7074
16/16 [==============================] - 0s 2ms/step - loss: 5.7074

Testing for epoch 42 index 12:
391/391 [==============================] - 0s 941us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2384
16/16 [==============================] - 0s 2ms/step - loss: 5.6833
16/16 [==============================] - 0s 2ms/step - loss: 5.6833
16/16 [==============================] - 0s 1ms/step - loss: 5.6833
16/16 [==============================] - 0s 3ms/step - loss: 5.6833
16/16 [==============================] - 0s 3ms/step - loss: 5.6833
16/16 [==============================] - 0s 2ms/step - loss: 5.6833
16/16 [==============================] - 0s 4ms/step - loss: 5.6833
16/16 [==============================] - 0s 4ms/step - loss: 5.6833
16/16 [==============================] - 0s 2ms/step - loss: 5.6833

Testing for epoch 42 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2513
16/16 [==============================] - 0s 2ms/step - loss: 5.6955
16/16 [==============================] - 0s 2ms/step - loss: 5.6955
16/16 [==============================] - 0s 3ms/step - loss: 5.6955
16/16 [==============================] - 0s 5ms/step - loss: 5.6955
16/16 [==============================] - 0s 3ms/step - loss: 5.6955
16/16 [==============================] - 0s 3ms/step - loss: 5.6955
16/16 [==============================] - 0s 1ms/step - loss: 5.6955
16/16 [==============================] - 0s 2ms/step - loss: 5.6955
16/16 [==============================] - 0s 2ms/step - loss: 5.6955

Testing for epoch 42 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2739
16/16 [==============================] - 0s 2ms/step - loss: 5.7154
16/16 [==============================] - 0s 2ms/step - loss: 5.7154
16/16 [==============================] - 0s 2ms/step - loss: 5.7154
16/16 [==============================] - 0s 3ms/step - loss: 5.7154
16/16 [==============================] - 0s 2ms/step - loss: 5.7154
16/16 [==============================] - 0s 3ms/step - loss: 5.7154
16/16 [==============================] - 0s 3ms/step - loss: 5.7154
16/16 [==============================] - 0s 3ms/step - loss: 5.7154
16/16 [==============================] - 0s 2ms/step - loss: 5.7154

Testing for epoch 42 index 15:
391/391 [==============================] - 0s 956us/step
16/16 [==============================] - 0s 4ms/step - loss: 5.2686
16/16 [==============================] - 0s 2ms/step - loss: 5.7028
16/16 [==============================] - 0s 4ms/step - loss: 5.7028
16/16 [==============================] - 0s 4ms/step - loss: 5.7028
16/16 [==============================] - 0s 1ms/step - loss: 5.7028
16/16 [==============================] - 0s 3ms/step - loss: 5.7028
16/16 [==============================] - 0s 3ms/step - loss: 5.7028
16/16 [==============================] - 0s 3ms/step - loss: 5.7028
16/16 [==============================] - 0s 2ms/step - loss: 5.7028
16/16 [==============================] - 0s 2ms/step - loss: 5.7028

Testing for epoch 42 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2811
16/16 [==============================] - 0s 1ms/step - loss: 5.7101
16/16 [==============================] - 0s 4ms/step - loss: 5.7101
16/16 [==============================] - 0s 2ms/step - loss: 5.7101
16/16 [==============================] - 0s 2ms/step - loss: 5.7101
16/16 [==============================] - 0s 2ms/step - loss: 5.7101
16/16 [==============================] - 0s 1ms/step - loss: 5.7101
16/16 [==============================] - 0s 2ms/step - loss: 5.7101
16/16 [==============================] - 0s 2ms/step - loss: 5.7101
16/16 [==============================] - 0s 2ms/step - loss: 5.7101

Testing for epoch 42 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2741
16/16 [==============================] - 0s 2ms/step - loss: 5.7008
16/16 [==============================] - 0s 1ms/step - loss: 5.7008
16/16 [==============================] - 0s 2ms/step - loss: 5.7008
16/16 [==============================] - 0s 4ms/step - loss: 5.7008
16/16 [==============================] - 0s 2ms/step - loss: 5.7008
16/16 [==============================] - 0s 2ms/step - loss: 5.7008
16/16 [==============================] - 0s 2ms/step - loss: 5.7008
16/16 [==============================] - 0s 2ms/step - loss: 5.7008
16/16 [==============================] - 0s 2ms/step - loss: 5.7008

Testing for epoch 42 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2719
16/16 [==============================] - 0s 2ms/step - loss: 5.7014
16/16 [==============================] - 0s 2ms/step - loss: 5.7014
16/16 [==============================] - 0s 2ms/step - loss: 5.7014
16/16 [==============================] - 0s 1ms/step - loss: 5.7014
16/16 [==============================] - 0s 3ms/step - loss: 5.7014
16/16 [==============================] - 0s 3ms/step - loss: 5.7014
16/16 [==============================] - 0s 3ms/step - loss: 5.7014
16/16 [==============================] - 0s 3ms/step - loss: 5.7014
16/16 [==============================] - 0s 2ms/step - loss: 5.7014

Testing for epoch 42 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2741
16/16 [==============================] - 0s 2ms/step - loss: 5.7011
16/16 [==============================] - 0s 1ms/step - loss: 5.7011
16/16 [==============================] - 0s 1ms/step - loss: 5.7011
16/16 [==============================] - 0s 2ms/step - loss: 5.7011
16/16 [==============================] - 0s 2ms/step - loss: 5.7011
16/16 [==============================] - 0s 1ms/step - loss: 5.7011
16/16 [==============================] - 0s 2ms/step - loss: 5.7011
16/16 [==============================] - 0s 2ms/step - loss: 5.7011
16/16 [==============================] - 0s 3ms/step - loss: 5.7011

Testing for epoch 42 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2745
16/16 [==============================] - 0s 2ms/step - loss: 5.6993
16/16 [==============================] - 0s 2ms/step - loss: 5.6993
16/16 [==============================] - 0s 1ms/step - loss: 5.6993
16/16 [==============================] - 0s 2ms/step - loss: 5.6993
16/16 [==============================] - 0s 1ms/step - loss: 5.6993
16/16 [==============================] - 0s 1ms/step - loss: 5.6993
16/16 [==============================] - 0s 2ms/step - loss: 5.6993
16/16 [==============================] - 0s 2ms/step - loss: 5.6993
16/16 [==============================] - 0s 2ms/step - loss: 5.6993

Testing for epoch 42 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2764
16/16 [==============================] - 0s 2ms/step - loss: 5.7039
16/16 [==============================] - 0s 2ms/step - loss: 5.7039
16/16 [==============================] - 0s 4ms/step - loss: 5.7039
16/16 [==============================] - 0s 3ms/step - loss: 5.7039
16/16 [==============================] - 0s 2ms/step - loss: 5.7039
16/16 [==============================] - 0s 2ms/step - loss: 5.7039
16/16 [==============================] - 0s 3ms/step - loss: 5.7039
16/16 [==============================] - 0s 2ms/step - loss: 5.7039
16/16 [==============================] - 0s 2ms/step - loss: 5.7039

Testing for epoch 42 index 22:
391/391 [==============================] - 0s 979us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3042
16/16 [==============================] - 0s 1ms/step - loss: 5.7399
16/16 [==============================] - 0s 2ms/step - loss: 5.7399
16/16 [==============================] - 0s 2ms/step - loss: 5.7399
16/16 [==============================] - 0s 3ms/step - loss: 5.7399
16/16 [==============================] - 0s 2ms/step - loss: 5.7399
16/16 [==============================] - 0s 4ms/step - loss: 5.7399
16/16 [==============================] - 0s 2ms/step - loss: 5.7399
16/16 [==============================] - 0s 2ms/step - loss: 5.7399
16/16 [==============================] - 0s 2ms/step - loss: 5.7399

Testing for epoch 42 index 23:
391/391 [==============================] - 0s 909us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2675
16/16 [==============================] - 0s 2ms/step - loss: 5.6956
16/16 [==============================] - 0s 1ms/step - loss: 5.6956
16/16 [==============================] - 0s 2ms/step - loss: 5.6956
16/16 [==============================] - 0s 2ms/step - loss: 5.6956
16/16 [==============================] - 0s 2ms/step - loss: 5.6956
16/16 [==============================] - 0s 4ms/step - loss: 5.6956
16/16 [==============================] - 0s 4ms/step - loss: 5.6956
16/16 [==============================] - 0s 2ms/step - loss: 5.6956
16/16 [==============================] - 0s 2ms/step - loss: 5.6956

Testing for epoch 42 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2921
16/16 [==============================] - 0s 3ms/step - loss: 5.7330
16/16 [==============================] - 0s 2ms/step - loss: 5.7330
16/16 [==============================] - 0s 3ms/step - loss: 5.7330
16/16 [==============================] - 0s 5ms/step - loss: 5.7330
16/16 [==============================] - 0s 2ms/step - loss: 5.7330
16/16 [==============================] - 0s 2ms/step - loss: 5.7330
16/16 [==============================] - 0s 4ms/step - loss: 5.7330
16/16 [==============================] - 0s 2ms/step - loss: 5.7330
16/16 [==============================] - 0s 3ms/step - loss: 5.7330
Epoch 43 of 60

Testing for epoch 43 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2785
16/16 [==============================] - 0s 2ms/step - loss: 5.7191
16/16 [==============================] - 0s 2ms/step - loss: 5.7191
16/16 [==============================] - 0s 2ms/step - loss: 5.7191
16/16 [==============================] - 0s 2ms/step - loss: 5.7191
16/16 [==============================] - 0s 2ms/step - loss: 5.7191
16/16 [==============================] - 0s 1ms/step - loss: 5.7191
16/16 [==============================] - 0s 2ms/step - loss: 5.7191
16/16 [==============================] - 0s 1ms/step - loss: 5.7191
16/16 [==============================] - 0s 2ms/step - loss: 5.7191

Testing for epoch 43 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2748
16/16 [==============================] - 0s 3ms/step - loss: 5.7165
16/16 [==============================] - 0s 2ms/step - loss: 5.7165
16/16 [==============================] - 0s 1ms/step - loss: 5.7165
16/16 [==============================] - 0s 2ms/step - loss: 5.7165
16/16 [==============================] - 0s 4ms/step - loss: 5.7165
16/16 [==============================] - 0s 2ms/step - loss: 5.7165
16/16 [==============================] - 0s 2ms/step - loss: 5.7165
16/16 [==============================] - 0s 2ms/step - loss: 5.7165
16/16 [==============================] - 0s 1ms/step - loss: 5.7165

Testing for epoch 43 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2511
16/16 [==============================] - 0s 1ms/step - loss: 5.6932
16/16 [==============================] - 0s 2ms/step - loss: 5.6932
16/16 [==============================] - 0s 3ms/step - loss: 5.6932
16/16 [==============================] - 0s 3ms/step - loss: 5.6932
16/16 [==============================] - 0s 2ms/step - loss: 5.6932
16/16 [==============================] - 0s 2ms/step - loss: 5.6932
16/16 [==============================] - 0s 2ms/step - loss: 5.6932
16/16 [==============================] - 0s 1ms/step - loss: 5.6932
16/16 [==============================] - 0s 3ms/step - loss: 5.6932

Testing for epoch 43 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2703
16/16 [==============================] - 0s 3ms/step - loss: 5.7215
16/16 [==============================] - 0s 2ms/step - loss: 5.7215
16/16 [==============================] - 0s 1ms/step - loss: 5.7215
16/16 [==============================] - 0s 2ms/step - loss: 5.7215
16/16 [==============================] - 0s 3ms/step - loss: 5.7215
16/16 [==============================] - 0s 3ms/step - loss: 5.7215
16/16 [==============================] - 0s 2ms/step - loss: 5.7215
16/16 [==============================] - 0s 1ms/step - loss: 5.7215
16/16 [==============================] - 0s 1ms/step - loss: 5.7215

Testing for epoch 43 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2926
16/16 [==============================] - 0s 2ms/step - loss: 5.7543
16/16 [==============================] - 0s 2ms/step - loss: 5.7543
16/16 [==============================] - 0s 2ms/step - loss: 5.7543
16/16 [==============================] - 0s 2ms/step - loss: 5.7543
16/16 [==============================] - 0s 3ms/step - loss: 5.7543
16/16 [==============================] - 0s 2ms/step - loss: 5.7543
16/16 [==============================] - 0s 3ms/step - loss: 5.7543
16/16 [==============================] - 0s 5ms/step - loss: 5.7543
16/16 [==============================] - 0s 3ms/step - loss: 5.7543

Testing for epoch 43 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.2557
16/16 [==============================] - 0s 2ms/step - loss: 5.7170
16/16 [==============================] - 0s 2ms/step - loss: 5.7170
16/16 [==============================] - 0s 2ms/step - loss: 5.7170
16/16 [==============================] - 0s 1ms/step - loss: 5.7170
16/16 [==============================] - 0s 4ms/step - loss: 5.7170
16/16 [==============================] - 0s 2ms/step - loss: 5.7170
16/16 [==============================] - 0s 2ms/step - loss: 5.7170
16/16 [==============================] - 0s 1ms/step - loss: 5.7170
16/16 [==============================] - 0s 2ms/step - loss: 5.7170

Testing for epoch 43 index 7:
391/391 [==============================] - 0s 976us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2598
16/16 [==============================] - 0s 2ms/step - loss: 5.7288
16/16 [==============================] - 0s 2ms/step - loss: 5.7288
16/16 [==============================] - 0s 3ms/step - loss: 5.7288
16/16 [==============================] - 0s 1ms/step - loss: 5.7288
16/16 [==============================] - 0s 3ms/step - loss: 5.7288
16/16 [==============================] - 0s 3ms/step - loss: 5.7288
16/16 [==============================] - 0s 2ms/step - loss: 5.7288
16/16 [==============================] - 0s 1ms/step - loss: 5.7288
16/16 [==============================] - 0s 2ms/step - loss: 5.7288

Testing for epoch 43 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2379
16/16 [==============================] - 0s 2ms/step - loss: 5.7046
16/16 [==============================] - 0s 2ms/step - loss: 5.7046
16/16 [==============================] - 0s 2ms/step - loss: 5.7046
16/16 [==============================] - 0s 2ms/step - loss: 5.7046
16/16 [==============================] - 0s 3ms/step - loss: 5.7046
16/16 [==============================] - 0s 2ms/step - loss: 5.7046
16/16 [==============================] - 0s 2ms/step - loss: 5.7046
16/16 [==============================] - 0s 4ms/step - loss: 5.7046
16/16 [==============================] - 0s 2ms/step - loss: 5.7046

Testing for epoch 43 index 9:
391/391 [==============================] - 0s 983us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2601
16/16 [==============================] - 0s 3ms/step - loss: 5.7293
16/16 [==============================] - 0s 1ms/step - loss: 5.7293
16/16 [==============================] - 0s 2ms/step - loss: 5.7293
16/16 [==============================] - 0s 1ms/step - loss: 5.7293
16/16 [==============================] - 0s 2ms/step - loss: 5.7293
16/16 [==============================] - 0s 4ms/step - loss: 5.7293
16/16 [==============================] - 0s 1ms/step - loss: 5.7293
16/16 [==============================] - 0s 2ms/step - loss: 5.7293
16/16 [==============================] - 0s 1ms/step - loss: 5.7293

Testing for epoch 43 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 6ms/step - loss: 5.2724
16/16 [==============================] - 0s 2ms/step - loss: 5.7305
16/16 [==============================] - 0s 2ms/step - loss: 5.7305
16/16 [==============================] - 0s 3ms/step - loss: 5.7305
16/16 [==============================] - 0s 1ms/step - loss: 5.7305
16/16 [==============================] - 0s 2ms/step - loss: 5.7305
16/16 [==============================] - 0s 2ms/step - loss: 5.7305
16/16 [==============================] - 0s 2ms/step - loss: 5.7305
16/16 [==============================] - 0s 2ms/step - loss: 5.7305
16/16 [==============================] - 0s 2ms/step - loss: 5.7305

Testing for epoch 43 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2769
16/16 [==============================] - 0s 2ms/step - loss: 5.7273
16/16 [==============================] - 0s 1ms/step - loss: 5.7273
16/16 [==============================] - 0s 2ms/step - loss: 5.7273
16/16 [==============================] - 0s 1ms/step - loss: 5.7273
16/16 [==============================] - 0s 2ms/step - loss: 5.7273
16/16 [==============================] - 0s 2ms/step - loss: 5.7273
16/16 [==============================] - 0s 1ms/step - loss: 5.7273
16/16 [==============================] - 0s 2ms/step - loss: 5.7273
16/16 [==============================] - 0s 2ms/step - loss: 5.7273

Testing for epoch 43 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2851
16/16 [==============================] - 0s 2ms/step - loss: 5.7274
16/16 [==============================] - 0s 2ms/step - loss: 5.7274
16/16 [==============================] - 0s 2ms/step - loss: 5.7274
16/16 [==============================] - 0s 2ms/step - loss: 5.7274
16/16 [==============================] - 0s 2ms/step - loss: 5.7274
16/16 [==============================] - 0s 2ms/step - loss: 5.7274
16/16 [==============================] - 0s 2ms/step - loss: 5.7274
16/16 [==============================] - 0s 1ms/step - loss: 5.7274
16/16 [==============================] - 0s 2ms/step - loss: 5.7274

Testing for epoch 43 index 13:
391/391 [==============================] - 0s 897us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.2857
16/16 [==============================] - 0s 3ms/step - loss: 5.7173
16/16 [==============================] - 0s 2ms/step - loss: 5.7173
16/16 [==============================] - 0s 2ms/step - loss: 5.7173
16/16 [==============================] - 0s 2ms/step - loss: 5.7173
16/16 [==============================] - 0s 3ms/step - loss: 5.7173
16/16 [==============================] - 0s 2ms/step - loss: 5.7173
16/16 [==============================] - 0s 2ms/step - loss: 5.7173
16/16 [==============================] - 0s 4ms/step - loss: 5.7173
16/16 [==============================] - 0s 1ms/step - loss: 5.7173

Testing for epoch 43 index 14:
391/391 [==============================] - 0s 985us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3078
16/16 [==============================] - 0s 3ms/step - loss: 5.7441
16/16 [==============================] - 0s 2ms/step - loss: 5.7441
16/16 [==============================] - 0s 2ms/step - loss: 5.7441
16/16 [==============================] - 0s 1ms/step - loss: 5.7441
16/16 [==============================] - 0s 2ms/step - loss: 5.7441
16/16 [==============================] - 0s 2ms/step - loss: 5.7441
16/16 [==============================] - 0s 3ms/step - loss: 5.7441
16/16 [==============================] - 0s 4ms/step - loss: 5.7441
16/16 [==============================] - 0s 1ms/step - loss: 5.7441

Testing for epoch 43 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.2926
16/16 [==============================] - 0s 2ms/step - loss: 5.7180
16/16 [==============================] - 0s 2ms/step - loss: 5.7180
16/16 [==============================] - 0s 1ms/step - loss: 5.7180
16/16 [==============================] - 0s 1ms/step - loss: 5.7180
16/16 [==============================] - 0s 2ms/step - loss: 5.7180
16/16 [==============================] - 0s 3ms/step - loss: 5.7180
16/16 [==============================] - 0s 3ms/step - loss: 5.7180
16/16 [==============================] - 0s 2ms/step - loss: 5.7180
16/16 [==============================] - 0s 2ms/step - loss: 5.7180

Testing for epoch 43 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3003
16/16 [==============================] - 0s 5ms/step - loss: 5.7237
16/16 [==============================] - 0s 2ms/step - loss: 5.7237
16/16 [==============================] - 0s 2ms/step - loss: 5.7237
16/16 [==============================] - 0s 2ms/step - loss: 5.7237
16/16 [==============================] - 0s 2ms/step - loss: 5.7237
16/16 [==============================] - 0s 2ms/step - loss: 5.7237
16/16 [==============================] - 0s 924us/step - loss: 5.7237
16/16 [==============================] - 0s 836us/step - loss: 5.7237
16/16 [==============================] - 0s 2ms/step - loss: 5.7237

Testing for epoch 43 index 17:
391/391 [==============================] - 0s 772us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.3217
16/16 [==============================] - 0s 1ms/step - loss: 5.7481
16/16 [==============================] - 0s 1ms/step - loss: 5.7481
16/16 [==============================] - 0s 2ms/step - loss: 5.7481
16/16 [==============================] - 0s 992us/step - loss: 5.7481
16/16 [==============================] - 0s 948us/step - loss: 5.7481
16/16 [==============================] - 0s 4ms/step - loss: 5.7481
16/16 [==============================] - 0s 1ms/step - loss: 5.7481
16/16 [==============================] - 0s 854us/step - loss: 5.7481
16/16 [==============================] - 0s 803us/step - loss: 5.7481

Testing for epoch 43 index 18:
391/391 [==============================] - 0s 616us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.3090
16/16 [==============================] - 0s 875us/step - loss: 5.7290
16/16 [==============================] - 0s 845us/step - loss: 5.7290
16/16 [==============================] - 0s 878us/step - loss: 5.7290
16/16 [==============================] - 0s 870us/step - loss: 5.7290
16/16 [==============================] - 0s 886us/step - loss: 5.7290
16/16 [==============================] - 0s 835us/step - loss: 5.7290
16/16 [==============================] - 0s 859us/step - loss: 5.7290
16/16 [==============================] - 0s 853us/step - loss: 5.7290
16/16 [==============================] - 0s 837us/step - loss: 5.7290

Testing for epoch 43 index 19:
391/391 [==============================] - 0s 602us/step
16/16 [==============================] - 0s 873us/step - loss: 5.3335
16/16 [==============================] - 0s 848us/step - loss: 5.7624
16/16 [==============================] - 0s 846us/step - loss: 5.7624
16/16 [==============================] - 0s 863us/step - loss: 5.7624
16/16 [==============================] - 0s 827us/step - loss: 5.7624
16/16 [==============================] - 0s 847us/step - loss: 5.7624
16/16 [==============================] - 0s 833us/step - loss: 5.7624
16/16 [==============================] - 0s 855us/step - loss: 5.7624
16/16 [==============================] - 0s 847us/step - loss: 5.7624
16/16 [==============================] - 0s 846us/step - loss: 5.7624

Testing for epoch 43 index 20:
391/391 [==============================] - 0s 583us/step
16/16 [==============================] - 0s 862us/step - loss: 5.3130
16/16 [==============================] - 0s 830us/step - loss: 5.7355
16/16 [==============================] - 0s 826us/step - loss: 5.7355
16/16 [==============================] - 0s 819us/step - loss: 5.7355
16/16 [==============================] - 0s 828us/step - loss: 5.7355
16/16 [==============================] - 0s 841us/step - loss: 5.7355
16/16 [==============================] - 0s 836us/step - loss: 5.7355
16/16 [==============================] - 0s 829us/step - loss: 5.7355
16/16 [==============================] - 0s 1ms/step - loss: 5.7355
16/16 [==============================] - 0s 1ms/step - loss: 5.7355

Testing for epoch 43 index 21:
391/391 [==============================] - 0s 624us/step
16/16 [==============================] - 0s 900us/step - loss: 5.3282
16/16 [==============================] - 0s 874us/step - loss: 5.7538
16/16 [==============================] - 0s 891us/step - loss: 5.7538
16/16 [==============================] - 0s 868us/step - loss: 5.7538
16/16 [==============================] - 0s 884us/step - loss: 5.7538
16/16 [==============================] - 0s 870us/step - loss: 5.7538
16/16 [==============================] - 0s 1ms/step - loss: 5.7538
16/16 [==============================] - 0s 1ms/step - loss: 5.7538
16/16 [==============================] - 0s 1ms/step - loss: 5.7538
16/16 [==============================] - 0s 1ms/step - loss: 5.7538

Testing for epoch 43 index 22:
391/391 [==============================] - 0s 833us/step
16/16 [==============================] - 0s 913us/step - loss: 5.3207
16/16 [==============================] - 0s 934us/step - loss: 5.7467
16/16 [==============================] - 0s 860us/step - loss: 5.7467
16/16 [==============================] - 0s 1ms/step - loss: 5.7467
16/16 [==============================] - 0s 1ms/step - loss: 5.7467
16/16 [==============================] - 0s 1ms/step - loss: 5.7467
16/16 [==============================] - 0s 824us/step - loss: 5.7467
16/16 [==============================] - 0s 1ms/step - loss: 5.7467
16/16 [==============================] - 0s 1ms/step - loss: 5.7467
16/16 [==============================] - 0s 1ms/step - loss: 5.7467

Testing for epoch 43 index 23:
391/391 [==============================] - 0s 634us/step
16/16 [==============================] - 0s 881us/step - loss: 5.3254
16/16 [==============================] - 0s 863us/step - loss: 5.7515
16/16 [==============================] - 0s 1ms/step - loss: 5.7515
16/16 [==============================] - 0s 1ms/step - loss: 5.7515
16/16 [==============================] - 0s 1ms/step - loss: 5.7515
16/16 [==============================] - 0s 1ms/step - loss: 5.7515
16/16 [==============================] - 0s 854us/step - loss: 5.7515
16/16 [==============================] - 0s 939us/step - loss: 5.7515
16/16 [==============================] - 0s 1ms/step - loss: 5.7515
16/16 [==============================] - 0s 1ms/step - loss: 5.7515

Testing for epoch 43 index 24:
391/391 [==============================] - 0s 602us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.3022
16/16 [==============================] - 0s 948us/step - loss: 5.7269
16/16 [==============================] - 0s 977us/step - loss: 5.7269
16/16 [==============================] - 0s 971us/step - loss: 5.7269
16/16 [==============================] - 0s 961us/step - loss: 5.7269
16/16 [==============================] - 0s 955us/step - loss: 5.7269
16/16 [==============================] - 0s 861us/step - loss: 5.7269
16/16 [==============================] - 0s 1ms/step - loss: 5.7269
16/16 [==============================] - 0s 882us/step - loss: 5.7269
16/16 [==============================] - 0s 871us/step - loss: 5.7269
Epoch 44 of 60

Testing for epoch 44 index 1:
391/391 [==============================] - 0s 580us/step
16/16 [==============================] - 0s 838us/step - loss: 5.3084
16/16 [==============================] - 0s 861us/step - loss: 5.7418
16/16 [==============================] - 0s 873us/step - loss: 5.7418
16/16 [==============================] - 0s 837us/step - loss: 5.7418
16/16 [==============================] - 0s 836us/step - loss: 5.7418
16/16 [==============================] - 0s 813us/step - loss: 5.7418
16/16 [==============================] - 0s 800us/step - loss: 5.7418
16/16 [==============================] - 0s 827us/step - loss: 5.7418
16/16 [==============================] - 0s 812us/step - loss: 5.7418
16/16 [==============================] - 0s 864us/step - loss: 5.7418

Testing for epoch 44 index 2:
391/391 [==============================] - 0s 639us/step
16/16 [==============================] - 0s 9ms/step - loss: 5.3102
16/16 [==============================] - 0s 1ms/step - loss: 5.7476
16/16 [==============================] - 0s 5ms/step - loss: 5.7476
16/16 [==============================] - 0s 4ms/step - loss: 5.7476
16/16 [==============================] - 0s 2ms/step - loss: 5.7476
16/16 [==============================] - 0s 2ms/step - loss: 5.7476
16/16 [==============================] - 0s 1ms/step - loss: 5.7476
16/16 [==============================] - 0s 3ms/step - loss: 5.7476
16/16 [==============================] - 0s 3ms/step - loss: 5.7476
16/16 [==============================] - 0s 2ms/step - loss: 5.7476

Testing for epoch 44 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 6ms/step - loss: 5.2999
16/16 [==============================] - 0s 4ms/step - loss: 5.7432
16/16 [==============================] - 0s 2ms/step - loss: 5.7432
16/16 [==============================] - 0s 2ms/step - loss: 5.7432
16/16 [==============================] - 0s 2ms/step - loss: 5.7432
16/16 [==============================] - 0s 2ms/step - loss: 5.7432
16/16 [==============================] - 0s 2ms/step - loss: 5.7432
16/16 [==============================] - 0s 3ms/step - loss: 5.7432
16/16 [==============================] - 0s 5ms/step - loss: 5.7432
16/16 [==============================] - 0s 5ms/step - loss: 5.7432

Testing for epoch 44 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3146
16/16 [==============================] - 0s 2ms/step - loss: 5.7625
16/16 [==============================] - 0s 2ms/step - loss: 5.7625
16/16 [==============================] - 0s 2ms/step - loss: 5.7625
16/16 [==============================] - 0s 1ms/step - loss: 5.7625
16/16 [==============================] - 0s 2ms/step - loss: 5.7625
16/16 [==============================] - 0s 2ms/step - loss: 5.7625
16/16 [==============================] - 0s 3ms/step - loss: 5.7625
16/16 [==============================] - 0s 2ms/step - loss: 5.7625
16/16 [==============================] - 0s 2ms/step - loss: 5.7625

Testing for epoch 44 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3059
16/16 [==============================] - 0s 3ms/step - loss: 5.7518
16/16 [==============================] - 0s 2ms/step - loss: 5.7518
16/16 [==============================] - 0s 5ms/step - loss: 5.7518
16/16 [==============================] - 0s 1ms/step - loss: 5.7518
16/16 [==============================] - 0s 2ms/step - loss: 5.7518
16/16 [==============================] - 0s 2ms/step - loss: 5.7518
16/16 [==============================] - 0s 2ms/step - loss: 5.7518
16/16 [==============================] - 0s 2ms/step - loss: 5.7518
16/16 [==============================] - 0s 2ms/step - loss: 5.7518

Testing for epoch 44 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3160
16/16 [==============================] - 0s 2ms/step - loss: 5.7725
16/16 [==============================] - 0s 5ms/step - loss: 5.7725
16/16 [==============================] - 0s 3ms/step - loss: 5.7725
16/16 [==============================] - 0s 6ms/step - loss: 5.7725
16/16 [==============================] - 0s 6ms/step - loss: 5.7725
16/16 [==============================] - 0s 2ms/step - loss: 5.7725
16/16 [==============================] - 0s 1ms/step - loss: 5.7725
16/16 [==============================] - 0s 2ms/step - loss: 5.7725
16/16 [==============================] - 0s 1ms/step - loss: 5.7725

Testing for epoch 44 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3135
16/16 [==============================] - 0s 2ms/step - loss: 5.7781
16/16 [==============================] - 0s 3ms/step - loss: 5.7781
16/16 [==============================] - 0s 3ms/step - loss: 5.7781
16/16 [==============================] - 0s 5ms/step - loss: 5.7781
16/16 [==============================] - 0s 1ms/step - loss: 5.7781
16/16 [==============================] - 0s 3ms/step - loss: 5.7781
16/16 [==============================] - 0s 3ms/step - loss: 5.7781
16/16 [==============================] - 0s 4ms/step - loss: 5.7781
16/16 [==============================] - 0s 4ms/step - loss: 5.7781

Testing for epoch 44 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.2878
16/16 [==============================] - 0s 1ms/step - loss: 5.7528
16/16 [==============================] - 0s 4ms/step - loss: 5.7528
16/16 [==============================] - 0s 1ms/step - loss: 5.7528
16/16 [==============================] - 0s 2ms/step - loss: 5.7528
16/16 [==============================] - 0s 2ms/step - loss: 5.7528
16/16 [==============================] - 0s 2ms/step - loss: 5.7528
16/16 [==============================] - 0s 3ms/step - loss: 5.7528
16/16 [==============================] - 0s 1ms/step - loss: 5.7528
16/16 [==============================] - 0s 1ms/step - loss: 5.7528

Testing for epoch 44 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 6ms/step - loss: 5.3040
16/16 [==============================] - 0s 4ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 4ms/step - loss: 5.7680
16/16 [==============================] - 0s 4ms/step - loss: 5.7680
16/16 [==============================] - 0s 5ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 3ms/step - loss: 5.7680
16/16 [==============================] - 0s 6ms/step - loss: 5.7680
16/16 [==============================] - 0s 5ms/step - loss: 5.7680

Testing for epoch 44 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3061
16/16 [==============================] - 0s 4ms/step - loss: 5.7589
16/16 [==============================] - 0s 3ms/step - loss: 5.7589
16/16 [==============================] - 0s 5ms/step - loss: 5.7589
16/16 [==============================] - 0s 6ms/step - loss: 5.7589
16/16 [==============================] - 0s 2ms/step - loss: 5.7589
16/16 [==============================] - 0s 1ms/step - loss: 5.7589
16/16 [==============================] - 0s 1ms/step - loss: 5.7589
16/16 [==============================] - 0s 2ms/step - loss: 5.7589
16/16 [==============================] - 0s 2ms/step - loss: 5.7589

Testing for epoch 44 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3167
16/16 [==============================] - 0s 2ms/step - loss: 5.7585
16/16 [==============================] - 0s 1ms/step - loss: 5.7585
16/16 [==============================] - 0s 2ms/step - loss: 5.7585
16/16 [==============================] - 0s 937us/step - loss: 5.7585
16/16 [==============================] - 0s 1ms/step - loss: 5.7585
16/16 [==============================] - 0s 910us/step - loss: 5.7585
16/16 [==============================] - 0s 975us/step - loss: 5.7585
16/16 [==============================] - 0s 879us/step - loss: 5.7585
16/16 [==============================] - 0s 1ms/step - loss: 5.7585

Testing for epoch 44 index 12:
391/391 [==============================] - 0s 822us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.3444
16/16 [==============================] - 0s 864us/step - loss: 5.7921
16/16 [==============================] - 0s 2ms/step - loss: 5.7921
16/16 [==============================] - 0s 2ms/step - loss: 5.7921
16/16 [==============================] - 0s 2ms/step - loss: 5.7921
16/16 [==============================] - 0s 2ms/step - loss: 5.7921
16/16 [==============================] - 0s 3ms/step - loss: 5.7921
16/16 [==============================] - 0s 2ms/step - loss: 5.7921
16/16 [==============================] - 0s 2ms/step - loss: 5.7921
16/16 [==============================] - 0s 2ms/step - loss: 5.7921

Testing for epoch 44 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3362
16/16 [==============================] - 0s 2ms/step - loss: 5.7706
16/16 [==============================] - 0s 3ms/step - loss: 5.7706
16/16 [==============================] - 0s 2ms/step - loss: 5.7706
16/16 [==============================] - 0s 2ms/step - loss: 5.7706
16/16 [==============================] - 0s 1ms/step - loss: 5.7706
16/16 [==============================] - 0s 3ms/step - loss: 5.7706
16/16 [==============================] - 0s 2ms/step - loss: 5.7706
16/16 [==============================] - 0s 1ms/step - loss: 5.7706
16/16 [==============================] - 0s 2ms/step - loss: 5.7706

Testing for epoch 44 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3123
16/16 [==============================] - 0s 2ms/step - loss: 5.7312
16/16 [==============================] - 0s 2ms/step - loss: 5.7312
16/16 [==============================] - 0s 2ms/step - loss: 5.7312
16/16 [==============================] - 0s 2ms/step - loss: 5.7312
16/16 [==============================] - 0s 2ms/step - loss: 5.7312
16/16 [==============================] - 0s 2ms/step - loss: 5.7312
16/16 [==============================] - 0s 1ms/step - loss: 5.7312
16/16 [==============================] - 0s 2ms/step - loss: 5.7312
16/16 [==============================] - 0s 2ms/step - loss: 5.7312

Testing for epoch 44 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3473
16/16 [==============================] - 0s 3ms/step - loss: 5.7687
16/16 [==============================] - 0s 1ms/step - loss: 5.7687
16/16 [==============================] - 0s 2ms/step - loss: 5.7687
16/16 [==============================] - 0s 2ms/step - loss: 5.7687
16/16 [==============================] - 0s 1ms/step - loss: 5.7687
16/16 [==============================] - 0s 1ms/step - loss: 5.7687
16/16 [==============================] - 0s 2ms/step - loss: 5.7687
16/16 [==============================] - 0s 2ms/step - loss: 5.7687
16/16 [==============================] - 0s 4ms/step - loss: 5.7687

Testing for epoch 44 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3461
16/16 [==============================] - 0s 3ms/step - loss: 5.7643
16/16 [==============================] - 0s 3ms/step - loss: 5.7643
16/16 [==============================] - 0s 2ms/step - loss: 5.7643
16/16 [==============================] - 0s 2ms/step - loss: 5.7643
16/16 [==============================] - 0s 2ms/step - loss: 5.7643
16/16 [==============================] - 0s 2ms/step - loss: 5.7643
16/16 [==============================] - 0s 2ms/step - loss: 5.7643
16/16 [==============================] - 0s 1ms/step - loss: 5.7643
16/16 [==============================] - 0s 2ms/step - loss: 5.7643

Testing for epoch 44 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3557
16/16 [==============================] - 0s 1ms/step - loss: 5.7798
16/16 [==============================] - 0s 1ms/step - loss: 5.7798
16/16 [==============================] - 0s 4ms/step - loss: 5.7798
16/16 [==============================] - 0s 4ms/step - loss: 5.7798
16/16 [==============================] - 0s 3ms/step - loss: 5.7798
16/16 [==============================] - 0s 2ms/step - loss: 5.7798
16/16 [==============================] - 0s 3ms/step - loss: 5.7798
16/16 [==============================] - 0s 2ms/step - loss: 5.7798
16/16 [==============================] - 0s 2ms/step - loss: 5.7798

Testing for epoch 44 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3511
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 1ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680
16/16 [==============================] - 0s 2ms/step - loss: 5.7680

Testing for epoch 44 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3681
16/16 [==============================] - 0s 4ms/step - loss: 5.7901
16/16 [==============================] - 0s 1ms/step - loss: 5.7901
16/16 [==============================] - 0s 2ms/step - loss: 5.7901
16/16 [==============================] - 0s 2ms/step - loss: 5.7901
16/16 [==============================] - 0s 2ms/step - loss: 5.7901
16/16 [==============================] - 0s 2ms/step - loss: 5.7901
16/16 [==============================] - 0s 4ms/step - loss: 5.7901
16/16 [==============================] - 0s 2ms/step - loss: 5.7901
16/16 [==============================] - 0s 2ms/step - loss: 5.7901

Testing for epoch 44 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3668
16/16 [==============================] - 0s 3ms/step - loss: 5.7892
16/16 [==============================] - 0s 2ms/step - loss: 5.7892
16/16 [==============================] - 0s 1ms/step - loss: 5.7892
16/16 [==============================] - 0s 2ms/step - loss: 5.7892
16/16 [==============================] - 0s 2ms/step - loss: 5.7892
16/16 [==============================] - 0s 2ms/step - loss: 5.7892
16/16 [==============================] - 0s 3ms/step - loss: 5.7892
16/16 [==============================] - 0s 5ms/step - loss: 5.7892
16/16 [==============================] - 0s 2ms/step - loss: 5.7892

Testing for epoch 44 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3673
16/16 [==============================] - 0s 1ms/step - loss: 5.7848
16/16 [==============================] - 0s 3ms/step - loss: 5.7848
16/16 [==============================] - 0s 3ms/step - loss: 5.7848
16/16 [==============================] - 0s 1ms/step - loss: 5.7848
16/16 [==============================] - 0s 3ms/step - loss: 5.7848
16/16 [==============================] - 0s 2ms/step - loss: 5.7848
16/16 [==============================] - 0s 2ms/step - loss: 5.7848
16/16 [==============================] - 0s 2ms/step - loss: 5.7848
16/16 [==============================] - 0s 2ms/step - loss: 5.7848

Testing for epoch 44 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3658
16/16 [==============================] - 0s 3ms/step - loss: 5.7913
16/16 [==============================] - 0s 2ms/step - loss: 5.7913
16/16 [==============================] - 0s 2ms/step - loss: 5.7913
16/16 [==============================] - 0s 2ms/step - loss: 5.7913
16/16 [==============================] - 0s 2ms/step - loss: 5.7913
16/16 [==============================] - 0s 3ms/step - loss: 5.7913
16/16 [==============================] - 0s 2ms/step - loss: 5.7913
16/16 [==============================] - 0s 2ms/step - loss: 5.7913
16/16 [==============================] - 0s 1ms/step - loss: 5.7913

Testing for epoch 44 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3440
16/16 [==============================] - 0s 1ms/step - loss: 5.7626
16/16 [==============================] - 0s 2ms/step - loss: 5.7626
16/16 [==============================] - 0s 2ms/step - loss: 5.7626
16/16 [==============================] - 0s 2ms/step - loss: 5.7626
16/16 [==============================] - 0s 3ms/step - loss: 5.7626
16/16 [==============================] - 0s 2ms/step - loss: 5.7626
16/16 [==============================] - 0s 3ms/step - loss: 5.7626
16/16 [==============================] - 0s 4ms/step - loss: 5.7626
16/16 [==============================] - 0s 2ms/step - loss: 5.7626

Testing for epoch 44 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3615
16/16 [==============================] - 0s 1ms/step - loss: 5.7874
16/16 [==============================] - 0s 3ms/step - loss: 5.7874
16/16 [==============================] - 0s 2ms/step - loss: 5.7874
16/16 [==============================] - 0s 2ms/step - loss: 5.7874
16/16 [==============================] - 0s 2ms/step - loss: 5.7874
16/16 [==============================] - 0s 3ms/step - loss: 5.7874
16/16 [==============================] - 0s 2ms/step - loss: 5.7874
16/16 [==============================] - 0s 2ms/step - loss: 5.7874
16/16 [==============================] - 0s 2ms/step - loss: 5.7874
Epoch 45 of 60

Testing for epoch 45 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.3420
16/16 [==============================] - 0s 2ms/step - loss: 5.7639
16/16 [==============================] - 0s 2ms/step - loss: 5.7639
16/16 [==============================] - 0s 2ms/step - loss: 5.7639
16/16 [==============================] - 0s 2ms/step - loss: 5.7639
16/16 [==============================] - 0s 2ms/step - loss: 5.7639
16/16 [==============================] - 0s 1ms/step - loss: 5.7639
16/16 [==============================] - 0s 2ms/step - loss: 5.7639
16/16 [==============================] - 0s 2ms/step - loss: 5.7639
16/16 [==============================] - 0s 2ms/step - loss: 5.7639

Testing for epoch 45 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3552
16/16 [==============================] - 0s 5ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914

Testing for epoch 45 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.3742
16/16 [==============================] - 0s 1ms/step - loss: 5.8221
16/16 [==============================] - 0s 1ms/step - loss: 5.8221
16/16 [==============================] - 0s 3ms/step - loss: 5.8221
16/16 [==============================] - 0s 1ms/step - loss: 5.8221
16/16 [==============================] - 0s 2ms/step - loss: 5.8221
16/16 [==============================] - 0s 2ms/step - loss: 5.8221
16/16 [==============================] - 0s 3ms/step - loss: 5.8221
16/16 [==============================] - 0s 2ms/step - loss: 5.8221
16/16 [==============================] - 0s 2ms/step - loss: 5.8221

Testing for epoch 45 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3563
16/16 [==============================] - 0s 1ms/step - loss: 5.8014
16/16 [==============================] - 0s 2ms/step - loss: 5.8014
16/16 [==============================] - 0s 3ms/step - loss: 5.8014
16/16 [==============================] - 0s 2ms/step - loss: 5.8014
16/16 [==============================] - 0s 2ms/step - loss: 5.8014
16/16 [==============================] - 0s 2ms/step - loss: 5.8014
16/16 [==============================] - 0s 2ms/step - loss: 5.8014
16/16 [==============================] - 0s 1ms/step - loss: 5.8014
16/16 [==============================] - 0s 2ms/step - loss: 5.8014

Testing for epoch 45 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3252
16/16 [==============================] - 0s 2ms/step - loss: 5.7611
16/16 [==============================] - 0s 1ms/step - loss: 5.7611
16/16 [==============================] - 0s 2ms/step - loss: 5.7611
16/16 [==============================] - 0s 3ms/step - loss: 5.7611
16/16 [==============================] - 0s 2ms/step - loss: 5.7611
16/16 [==============================] - 0s 1ms/step - loss: 5.7611
16/16 [==============================] - 0s 2ms/step - loss: 5.7611
16/16 [==============================] - 0s 2ms/step - loss: 5.7611
16/16 [==============================] - 0s 2ms/step - loss: 5.7611

Testing for epoch 45 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3463
16/16 [==============================] - 0s 2ms/step - loss: 5.7942
16/16 [==============================] - 0s 1ms/step - loss: 5.7942
16/16 [==============================] - 0s 1ms/step - loss: 5.7942
16/16 [==============================] - 0s 2ms/step - loss: 5.7942
16/16 [==============================] - 0s 2ms/step - loss: 5.7942
16/16 [==============================] - 0s 3ms/step - loss: 5.7942
16/16 [==============================] - 0s 3ms/step - loss: 5.7942
16/16 [==============================] - 0s 3ms/step - loss: 5.7942
16/16 [==============================] - 0s 2ms/step - loss: 5.7942

Testing for epoch 45 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3452
16/16 [==============================] - 0s 3ms/step - loss: 5.7972
16/16 [==============================] - 0s 2ms/step - loss: 5.7972
16/16 [==============================] - 0s 2ms/step - loss: 5.7972
16/16 [==============================] - 0s 5ms/step - loss: 5.7972
16/16 [==============================] - 0s 1ms/step - loss: 5.7972
16/16 [==============================] - 0s 2ms/step - loss: 5.7972
16/16 [==============================] - 0s 2ms/step - loss: 5.7972
16/16 [==============================] - 0s 2ms/step - loss: 5.7972
16/16 [==============================] - 0s 2ms/step - loss: 5.7972

Testing for epoch 45 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3497
16/16 [==============================] - 0s 2ms/step - loss: 5.8129
16/16 [==============================] - 0s 2ms/step - loss: 5.8129
16/16 [==============================] - 0s 3ms/step - loss: 5.8129
16/16 [==============================] - 0s 3ms/step - loss: 5.8129
16/16 [==============================] - 0s 2ms/step - loss: 5.8129
16/16 [==============================] - 0s 2ms/step - loss: 5.8129
16/16 [==============================] - 0s 3ms/step - loss: 5.8129
16/16 [==============================] - 0s 2ms/step - loss: 5.8129
16/16 [==============================] - 0s 2ms/step - loss: 5.8129

Testing for epoch 45 index 9:
391/391 [==============================] - 0s 1000us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3345
16/16 [==============================] - 0s 3ms/step - loss: 5.7895
16/16 [==============================] - 0s 2ms/step - loss: 5.7895
16/16 [==============================] - 0s 3ms/step - loss: 5.7895
16/16 [==============================] - 0s 2ms/step - loss: 5.7895
16/16 [==============================] - 0s 1ms/step - loss: 5.7895
16/16 [==============================] - 0s 3ms/step - loss: 5.7895
16/16 [==============================] - 0s 3ms/step - loss: 5.7895
16/16 [==============================] - 0s 1ms/step - loss: 5.7895
16/16 [==============================] - 0s 1ms/step - loss: 5.7895

Testing for epoch 45 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3542
16/16 [==============================] - 0s 2ms/step - loss: 5.7995
16/16 [==============================] - 0s 2ms/step - loss: 5.7995
16/16 [==============================] - 0s 3ms/step - loss: 5.7995
16/16 [==============================] - 0s 1ms/step - loss: 5.7995
16/16 [==============================] - 0s 1ms/step - loss: 5.7995
16/16 [==============================] - 0s 2ms/step - loss: 5.7995
16/16 [==============================] - 0s 2ms/step - loss: 5.7995
16/16 [==============================] - 0s 2ms/step - loss: 5.7995
16/16 [==============================] - 0s 2ms/step - loss: 5.7995

Testing for epoch 45 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3602
16/16 [==============================] - 0s 1ms/step - loss: 5.7982
16/16 [==============================] - 0s 2ms/step - loss: 5.7982
16/16 [==============================] - 0s 2ms/step - loss: 5.7982
16/16 [==============================] - 0s 2ms/step - loss: 5.7982
16/16 [==============================] - 0s 3ms/step - loss: 5.7982
16/16 [==============================] - 0s 3ms/step - loss: 5.7982
16/16 [==============================] - 0s 3ms/step - loss: 5.7982
16/16 [==============================] - 0s 2ms/step - loss: 5.7982
16/16 [==============================] - 0s 2ms/step - loss: 5.7982

Testing for epoch 45 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3831
16/16 [==============================] - 0s 2ms/step - loss: 5.8222
16/16 [==============================] - 0s 1ms/step - loss: 5.8222
16/16 [==============================] - 0s 2ms/step - loss: 5.8222
16/16 [==============================] - 0s 2ms/step - loss: 5.8222
16/16 [==============================] - 0s 2ms/step - loss: 5.8222
16/16 [==============================] - 0s 3ms/step - loss: 5.8222
16/16 [==============================] - 0s 2ms/step - loss: 5.8222
16/16 [==============================] - 0s 2ms/step - loss: 5.8222
16/16 [==============================] - 0s 3ms/step - loss: 5.8222

Testing for epoch 45 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3717
16/16 [==============================] - 0s 2ms/step - loss: 5.7961
16/16 [==============================] - 0s 3ms/step - loss: 5.7961
16/16 [==============================] - 0s 3ms/step - loss: 5.7961
16/16 [==============================] - 0s 1ms/step - loss: 5.7961
16/16 [==============================] - 0s 2ms/step - loss: 5.7961
16/16 [==============================] - 0s 2ms/step - loss: 5.7961
16/16 [==============================] - 0s 4ms/step - loss: 5.7961
16/16 [==============================] - 0s 2ms/step - loss: 5.7961
16/16 [==============================] - 0s 2ms/step - loss: 5.7961

Testing for epoch 45 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3788
16/16 [==============================] - 0s 2ms/step - loss: 5.8010
16/16 [==============================] - 0s 4ms/step - loss: 5.8010
16/16 [==============================] - 0s 2ms/step - loss: 5.8010
16/16 [==============================] - 0s 2ms/step - loss: 5.8010
16/16 [==============================] - 0s 2ms/step - loss: 5.8010
16/16 [==============================] - 0s 2ms/step - loss: 5.8010
16/16 [==============================] - 0s 2ms/step - loss: 5.8010
16/16 [==============================] - 0s 2ms/step - loss: 5.8010
16/16 [==============================] - 0s 3ms/step - loss: 5.8010

Testing for epoch 45 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3889
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 3ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093

Testing for epoch 45 index 16:
391/391 [==============================] - 0s 927us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3966
16/16 [==============================] - 0s 2ms/step - loss: 5.8132
16/16 [==============================] - 0s 2ms/step - loss: 5.8132
16/16 [==============================] - 0s 2ms/step - loss: 5.8132
16/16 [==============================] - 0s 2ms/step - loss: 5.8132
16/16 [==============================] - 0s 2ms/step - loss: 5.8132
16/16 [==============================] - 0s 3ms/step - loss: 5.8132
16/16 [==============================] - 0s 2ms/step - loss: 5.8132
16/16 [==============================] - 0s 2ms/step - loss: 5.8132
16/16 [==============================] - 0s 2ms/step - loss: 5.8132

Testing for epoch 45 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3988
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 3ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 5.8135

Testing for epoch 45 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3789
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 3ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 2ms/step - loss: 5.7914
16/16 [==============================] - 0s 4ms/step - loss: 5.7914

Testing for epoch 45 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3998
16/16 [==============================] - 0s 3ms/step - loss: 5.8134
16/16 [==============================] - 0s 2ms/step - loss: 5.8134
16/16 [==============================] - 0s 2ms/step - loss: 5.8134
16/16 [==============================] - 0s 2ms/step - loss: 5.8134
16/16 [==============================] - 0s 5ms/step - loss: 5.8134
16/16 [==============================] - 0s 2ms/step - loss: 5.8134
16/16 [==============================] - 0s 2ms/step - loss: 5.8134
16/16 [==============================] - 0s 2ms/step - loss: 5.8134
16/16 [==============================] - 0s 2ms/step - loss: 5.8134

Testing for epoch 45 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4153
16/16 [==============================] - 0s 1ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335
16/16 [==============================] - 0s 2ms/step - loss: 5.8335
16/16 [==============================] - 0s 2ms/step - loss: 5.8335
16/16 [==============================] - 0s 2ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335
16/16 [==============================] - 0s 2ms/step - loss: 5.8335
16/16 [==============================] - 0s 2ms/step - loss: 5.8335
16/16 [==============================] - 0s 2ms/step - loss: 5.8335

Testing for epoch 45 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3835
16/16 [==============================] - 0s 2ms/step - loss: 5.7996
16/16 [==============================] - 0s 1ms/step - loss: 5.7996
16/16 [==============================] - 0s 1ms/step - loss: 5.7996
16/16 [==============================] - 0s 3ms/step - loss: 5.7996
16/16 [==============================] - 0s 3ms/step - loss: 5.7996
16/16 [==============================] - 0s 2ms/step - loss: 5.7996
16/16 [==============================] - 0s 1ms/step - loss: 5.7996
16/16 [==============================] - 0s 2ms/step - loss: 5.7996
16/16 [==============================] - 0s 2ms/step - loss: 5.7996

Testing for epoch 45 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3625
16/16 [==============================] - 0s 5ms/step - loss: 5.7733
16/16 [==============================] - 0s 4ms/step - loss: 5.7733
16/16 [==============================] - 0s 2ms/step - loss: 5.7733
16/16 [==============================] - 0s 2ms/step - loss: 5.7733
16/16 [==============================] - 0s 2ms/step - loss: 5.7733
16/16 [==============================] - 0s 2ms/step - loss: 5.7733
16/16 [==============================] - 0s 2ms/step - loss: 5.7733
16/16 [==============================] - 0s 2ms/step - loss: 5.7733
16/16 [==============================] - 0s 1ms/step - loss: 5.7733

Testing for epoch 45 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3845
16/16 [==============================] - 0s 2ms/step - loss: 5.7990
16/16 [==============================] - 0s 2ms/step - loss: 5.7990
16/16 [==============================] - 0s 3ms/step - loss: 5.7990
16/16 [==============================] - 0s 2ms/step - loss: 5.7990
16/16 [==============================] - 0s 2ms/step - loss: 5.7990
16/16 [==============================] - 0s 2ms/step - loss: 5.7990
16/16 [==============================] - 0s 2ms/step - loss: 5.7990
16/16 [==============================] - 0s 2ms/step - loss: 5.7990
16/16 [==============================] - 0s 2ms/step - loss: 5.7990

Testing for epoch 45 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3800
16/16 [==============================] - 0s 1ms/step - loss: 5.7960
16/16 [==============================] - 0s 1ms/step - loss: 5.7960
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
16/16 [==============================] - 0s 2ms/step - loss: 5.7960
Epoch 46 of 60

Testing for epoch 46 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3916
16/16 [==============================] - 0s 2ms/step - loss: 5.8173
16/16 [==============================] - 0s 3ms/step - loss: 5.8173
16/16 [==============================] - 0s 2ms/step - loss: 5.8173
16/16 [==============================] - 0s 1ms/step - loss: 5.8173
16/16 [==============================] - 0s 2ms/step - loss: 5.8173
16/16 [==============================] - 0s 2ms/step - loss: 5.8173
16/16 [==============================] - 0s 2ms/step - loss: 5.8173
16/16 [==============================] - 0s 2ms/step - loss: 5.8173
16/16 [==============================] - 0s 2ms/step - loss: 5.8173

Testing for epoch 46 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.3810
16/16 [==============================] - 0s 4ms/step - loss: 5.8031
16/16 [==============================] - 0s 2ms/step - loss: 5.8031
16/16 [==============================] - 0s 2ms/step - loss: 5.8031
16/16 [==============================] - 0s 1ms/step - loss: 5.8031
16/16 [==============================] - 0s 2ms/step - loss: 5.8031
16/16 [==============================] - 0s 2ms/step - loss: 5.8031
16/16 [==============================] - 0s 3ms/step - loss: 5.8031
16/16 [==============================] - 0s 2ms/step - loss: 5.8031
16/16 [==============================] - 0s 1ms/step - loss: 5.8031

Testing for epoch 46 index 3:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3811
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 3ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 2ms/step - loss: 5.8093
16/16 [==============================] - 0s 1ms/step - loss: 5.8093

Testing for epoch 46 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3935
16/16 [==============================] - 0s 2ms/step - loss: 5.8291
16/16 [==============================] - 0s 2ms/step - loss: 5.8291
16/16 [==============================] - 0s 2ms/step - loss: 5.8291
16/16 [==============================] - 0s 2ms/step - loss: 5.8291
16/16 [==============================] - 0s 2ms/step - loss: 5.8291
16/16 [==============================] - 0s 2ms/step - loss: 5.8291
16/16 [==============================] - 0s 2ms/step - loss: 5.8291
16/16 [==============================] - 0s 3ms/step - loss: 5.8291
16/16 [==============================] - 0s 2ms/step - loss: 5.8291

Testing for epoch 46 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3587
16/16 [==============================] - 0s 2ms/step - loss: 5.7883
16/16 [==============================] - 0s 2ms/step - loss: 5.7883
16/16 [==============================] - 0s 2ms/step - loss: 5.7883
16/16 [==============================] - 0s 3ms/step - loss: 5.7883
16/16 [==============================] - 0s 3ms/step - loss: 5.7883
16/16 [==============================] - 0s 2ms/step - loss: 5.7883
16/16 [==============================] - 0s 1ms/step - loss: 5.7883
16/16 [==============================] - 0s 2ms/step - loss: 5.7883
16/16 [==============================] - 0s 2ms/step - loss: 5.7883

Testing for epoch 46 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3946
16/16 [==============================] - 0s 2ms/step - loss: 5.8446
16/16 [==============================] - 0s 2ms/step - loss: 5.8446
16/16 [==============================] - 0s 1ms/step - loss: 5.8446
16/16 [==============================] - 0s 2ms/step - loss: 5.8446
16/16 [==============================] - 0s 2ms/step - loss: 5.8446
16/16 [==============================] - 0s 2ms/step - loss: 5.8446
16/16 [==============================] - 0s 2ms/step - loss: 5.8446
16/16 [==============================] - 0s 2ms/step - loss: 5.8446
16/16 [==============================] - 0s 2ms/step - loss: 5.8446

Testing for epoch 46 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.3690
16/16 [==============================] - 0s 2ms/step - loss: 5.8137
16/16 [==============================] - 0s 2ms/step - loss: 5.8137
16/16 [==============================] - 0s 2ms/step - loss: 5.8137
16/16 [==============================] - 0s 3ms/step - loss: 5.8137
16/16 [==============================] - 0s 2ms/step - loss: 5.8137
16/16 [==============================] - 0s 2ms/step - loss: 5.8137
16/16 [==============================] - 0s 2ms/step - loss: 5.8137
16/16 [==============================] - 0s 2ms/step - loss: 5.8137
16/16 [==============================] - 0s 2ms/step - loss: 5.8137

Testing for epoch 46 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3605
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 2ms/step - loss: 5.8117
16/16 [==============================] - 0s 3ms/step - loss: 5.8117

Testing for epoch 46 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3766
16/16 [==============================] - 0s 2ms/step - loss: 5.8288
16/16 [==============================] - 0s 2ms/step - loss: 5.8288
16/16 [==============================] - 0s 2ms/step - loss: 5.8288
16/16 [==============================] - 0s 2ms/step - loss: 5.8288
16/16 [==============================] - 0s 2ms/step - loss: 5.8288
16/16 [==============================] - 0s 3ms/step - loss: 5.8288
16/16 [==============================] - 0s 2ms/step - loss: 5.8288
16/16 [==============================] - 0s 2ms/step - loss: 5.8288
16/16 [==============================] - 0s 2ms/step - loss: 5.8288

Testing for epoch 46 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3834
16/16 [==============================] - 0s 2ms/step - loss: 5.8242
16/16 [==============================] - 0s 3ms/step - loss: 5.8242
16/16 [==============================] - 0s 2ms/step - loss: 5.8242
16/16 [==============================] - 0s 3ms/step - loss: 5.8242
16/16 [==============================] - 0s 2ms/step - loss: 5.8242
16/16 [==============================] - 0s 2ms/step - loss: 5.8242
16/16 [==============================] - 0s 3ms/step - loss: 5.8242
16/16 [==============================] - 0s 2ms/step - loss: 5.8242
16/16 [==============================] - 0s 2ms/step - loss: 5.8242

Testing for epoch 46 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3948
16/16 [==============================] - 0s 2ms/step - loss: 5.8333
16/16 [==============================] - 0s 2ms/step - loss: 5.8333
16/16 [==============================] - 0s 2ms/step - loss: 5.8333
16/16 [==============================] - 0s 2ms/step - loss: 5.8333
16/16 [==============================] - 0s 3ms/step - loss: 5.8333
16/16 [==============================] - 0s 2ms/step - loss: 5.8333
16/16 [==============================] - 0s 2ms/step - loss: 5.8333
16/16 [==============================] - 0s 2ms/step - loss: 5.8333
16/16 [==============================] - 0s 2ms/step - loss: 5.8333

Testing for epoch 46 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4175
16/16 [==============================] - 0s 2ms/step - loss: 5.8472
16/16 [==============================] - 0s 3ms/step - loss: 5.8472
16/16 [==============================] - 0s 987us/step - loss: 5.8472
16/16 [==============================] - 0s 2ms/step - loss: 5.8472
16/16 [==============================] - 0s 2ms/step - loss: 5.8472
16/16 [==============================] - 0s 1ms/step - loss: 5.8472
16/16 [==============================] - 0s 1ms/step - loss: 5.8472
16/16 [==============================] - 0s 1ms/step - loss: 5.8472
16/16 [==============================] - 0s 3ms/step - loss: 5.8472

Testing for epoch 46 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4104
16/16 [==============================] - 0s 1ms/step - loss: 5.8295
16/16 [==============================] - 0s 2ms/step - loss: 5.8295
16/16 [==============================] - 0s 2ms/step - loss: 5.8295
16/16 [==============================] - 0s 3ms/step - loss: 5.8295
16/16 [==============================] - 0s 1ms/step - loss: 5.8295
16/16 [==============================] - 0s 2ms/step - loss: 5.8295
16/16 [==============================] - 0s 3ms/step - loss: 5.8295
16/16 [==============================] - 0s 2ms/step - loss: 5.8295
16/16 [==============================] - 0s 3ms/step - loss: 5.8295

Testing for epoch 46 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4270
16/16 [==============================] - 0s 2ms/step - loss: 5.8527
16/16 [==============================] - 0s 2ms/step - loss: 5.8527
16/16 [==============================] - 0s 2ms/step - loss: 5.8527
16/16 [==============================] - 0s 1ms/step - loss: 5.8527
16/16 [==============================] - 0s 3ms/step - loss: 5.8527
16/16 [==============================] - 0s 3ms/step - loss: 5.8527
16/16 [==============================] - 0s 3ms/step - loss: 5.8527
16/16 [==============================] - 0s 3ms/step - loss: 5.8527
16/16 [==============================] - 0s 3ms/step - loss: 5.8527

Testing for epoch 46 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4232
16/16 [==============================] - 0s 2ms/step - loss: 5.8384
16/16 [==============================] - 0s 2ms/step - loss: 5.8384
16/16 [==============================] - 0s 2ms/step - loss: 5.8384
16/16 [==============================] - 0s 2ms/step - loss: 5.8384
16/16 [==============================] - 0s 2ms/step - loss: 5.8384
16/16 [==============================] - 0s 3ms/step - loss: 5.8384
16/16 [==============================] - 0s 3ms/step - loss: 5.8384
16/16 [==============================] - 0s 2ms/step - loss: 5.8384
16/16 [==============================] - 0s 2ms/step - loss: 5.8384

Testing for epoch 46 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4197
16/16 [==============================] - 0s 2ms/step - loss: 5.8354
16/16 [==============================] - 0s 2ms/step - loss: 5.8354
16/16 [==============================] - 0s 2ms/step - loss: 5.8354
16/16 [==============================] - 0s 2ms/step - loss: 5.8354
16/16 [==============================] - 0s 2ms/step - loss: 5.8354
16/16 [==============================] - 0s 3ms/step - loss: 5.8354
16/16 [==============================] - 0s 2ms/step - loss: 5.8354
16/16 [==============================] - 0s 2ms/step - loss: 5.8354
16/16 [==============================] - 0s 2ms/step - loss: 5.8354

Testing for epoch 46 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4087
16/16 [==============================] - 0s 2ms/step - loss: 5.8156
16/16 [==============================] - 0s 2ms/step - loss: 5.8156
16/16 [==============================] - 0s 2ms/step - loss: 5.8156
16/16 [==============================] - 0s 2ms/step - loss: 5.8156
16/16 [==============================] - 0s 2ms/step - loss: 5.8156
16/16 [==============================] - 0s 3ms/step - loss: 5.8156
16/16 [==============================] - 0s 2ms/step - loss: 5.8156
16/16 [==============================] - 0s 2ms/step - loss: 5.8156
16/16 [==============================] - 0s 2ms/step - loss: 5.8156

Testing for epoch 46 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4317
16/16 [==============================] - 0s 2ms/step - loss: 5.8413
16/16 [==============================] - 0s 2ms/step - loss: 5.8413
16/16 [==============================] - 0s 2ms/step - loss: 5.8413
16/16 [==============================] - 0s 2ms/step - loss: 5.8413
16/16 [==============================] - 0s 1ms/step - loss: 5.8413
16/16 [==============================] - 0s 4ms/step - loss: 5.8413
16/16 [==============================] - 0s 3ms/step - loss: 5.8413
16/16 [==============================] - 0s 4ms/step - loss: 5.8413
16/16 [==============================] - 0s 2ms/step - loss: 5.8413

Testing for epoch 46 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4317
16/16 [==============================] - 0s 1ms/step - loss: 5.8418
16/16 [==============================] - 0s 2ms/step - loss: 5.8418
16/16 [==============================] - 0s 1ms/step - loss: 5.8418
16/16 [==============================] - 0s 1ms/step - loss: 5.8418
16/16 [==============================] - 0s 2ms/step - loss: 5.8418
16/16 [==============================] - 0s 2ms/step - loss: 5.8418
16/16 [==============================] - 0s 2ms/step - loss: 5.8418
16/16 [==============================] - 0s 3ms/step - loss: 5.8418
16/16 [==============================] - 0s 2ms/step - loss: 5.8418

Testing for epoch 46 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4054
16/16 [==============================] - 0s 2ms/step - loss: 5.8075
16/16 [==============================] - 0s 2ms/step - loss: 5.8075
16/16 [==============================] - 0s 2ms/step - loss: 5.8075
16/16 [==============================] - 0s 2ms/step - loss: 5.8075
16/16 [==============================] - 0s 1ms/step - loss: 5.8075
16/16 [==============================] - 0s 1ms/step - loss: 5.8075
16/16 [==============================] - 0s 1ms/step - loss: 5.8075
16/16 [==============================] - 0s 2ms/step - loss: 5.8075
16/16 [==============================] - 0s 2ms/step - loss: 5.8075

Testing for epoch 46 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4219
16/16 [==============================] - 0s 2ms/step - loss: 5.8313
16/16 [==============================] - 0s 2ms/step - loss: 5.8313
16/16 [==============================] - 0s 3ms/step - loss: 5.8313
16/16 [==============================] - 0s 3ms/step - loss: 5.8313
16/16 [==============================] - 0s 3ms/step - loss: 5.8313
16/16 [==============================] - 0s 2ms/step - loss: 5.8313
16/16 [==============================] - 0s 2ms/step - loss: 5.8313
16/16 [==============================] - 0s 3ms/step - loss: 5.8313
16/16 [==============================] - 0s 2ms/step - loss: 5.8313

Testing for epoch 46 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4201
16/16 [==============================] - 0s 2ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335
16/16 [==============================] - 0s 1ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335
16/16 [==============================] - 0s 2ms/step - loss: 5.8335
16/16 [==============================] - 0s 3ms/step - loss: 5.8335

Testing for epoch 46 index 23:
391/391 [==============================] - 0s 626us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4286
16/16 [==============================] - 0s 2ms/step - loss: 5.8423
16/16 [==============================] - 0s 1ms/step - loss: 5.8423
16/16 [==============================] - 0s 2ms/step - loss: 5.8423
16/16 [==============================] - 0s 2ms/step - loss: 5.8423
16/16 [==============================] - 0s 1ms/step - loss: 5.8423
16/16 [==============================] - 0s 2ms/step - loss: 5.8423
16/16 [==============================] - 0s 2ms/step - loss: 5.8423
16/16 [==============================] - 0s 2ms/step - loss: 5.8423
16/16 [==============================] - 0s 2ms/step - loss: 5.8423

Testing for epoch 46 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4483
16/16 [==============================] - 0s 2ms/step - loss: 5.8720
16/16 [==============================] - 0s 2ms/step - loss: 5.8720
16/16 [==============================] - 0s 981us/step - loss: 5.8720
16/16 [==============================] - 0s 947us/step - loss: 5.8720
16/16 [==============================] - 0s 4ms/step - loss: 5.8720
16/16 [==============================] - 0s 3ms/step - loss: 5.8720
16/16 [==============================] - 0s 2ms/step - loss: 5.8720
16/16 [==============================] - 0s 1ms/step - loss: 5.8720
16/16 [==============================] - 0s 1ms/step - loss: 5.8720
Epoch 47 of 60

Testing for epoch 47 index 1:
391/391 [==============================] - 0s 992us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4212
16/16 [==============================] - 0s 5ms/step - loss: 5.8454
16/16 [==============================] - 0s 2ms/step - loss: 5.8454
16/16 [==============================] - 0s 4ms/step - loss: 5.8454
16/16 [==============================] - 0s 4ms/step - loss: 5.8454
16/16 [==============================] - 0s 1ms/step - loss: 5.8454
16/16 [==============================] - 0s 797us/step - loss: 5.8454
16/16 [==============================] - 0s 817us/step - loss: 5.8454
16/16 [==============================] - 0s 1ms/step - loss: 5.8454
16/16 [==============================] - 0s 1ms/step - loss: 5.8454

Testing for epoch 47 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4207
16/16 [==============================] - 0s 2ms/step - loss: 5.8396
16/16 [==============================] - 0s 995us/step - loss: 5.8396
16/16 [==============================] - 0s 901us/step - loss: 5.8396
16/16 [==============================] - 0s 857us/step - loss: 5.8396
16/16 [==============================] - 0s 848us/step - loss: 5.8396
16/16 [==============================] - 0s 866us/step - loss: 5.8396
16/16 [==============================] - 0s 714us/step - loss: 5.8396
16/16 [==============================] - 0s 817us/step - loss: 5.8396
16/16 [==============================] - 0s 827us/step - loss: 5.8396

Testing for epoch 47 index 3:
391/391 [==============================] - 0s 599us/step
16/16 [==============================] - 0s 962us/step - loss: 5.4284
16/16 [==============================] - 0s 1ms/step - loss: 5.8509
16/16 [==============================] - 0s 793us/step - loss: 5.8509
16/16 [==============================] - 0s 994us/step - loss: 5.8509
16/16 [==============================] - 0s 1ms/step - loss: 5.8509
16/16 [==============================] - 0s 817us/step - loss: 5.8509
16/16 [==============================] - 0s 832us/step - loss: 5.8509
16/16 [==============================] - 0s 803us/step - loss: 5.8509
16/16 [==============================] - 0s 833us/step - loss: 5.8509
16/16 [==============================] - 0s 817us/step - loss: 5.8509

Testing for epoch 47 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4275
16/16 [==============================] - 0s 3ms/step - loss: 5.8657
16/16 [==============================] - 0s 4ms/step - loss: 5.8657
16/16 [==============================] - 0s 2ms/step - loss: 5.8657
16/16 [==============================] - 0s 6ms/step - loss: 5.8657
16/16 [==============================] - 0s 4ms/step - loss: 5.8657
16/16 [==============================] - 0s 4ms/step - loss: 5.8657
16/16 [==============================] - 0s 4ms/step - loss: 5.8657
16/16 [==============================] - 0s 3ms/step - loss: 5.8657
16/16 [==============================] - 0s 3ms/step - loss: 5.8657

Testing for epoch 47 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 851us/step - loss: 5.4161
16/16 [==============================] - 0s 1ms/step - loss: 5.8507
16/16 [==============================] - 0s 6ms/step - loss: 5.8507
16/16 [==============================] - 0s 5ms/step - loss: 5.8507
16/16 [==============================] - 0s 2ms/step - loss: 5.8507
16/16 [==============================] - 0s 4ms/step - loss: 5.8507
16/16 [==============================] - 0s 4ms/step - loss: 5.8507
16/16 [==============================] - 0s 2ms/step - loss: 5.8507
16/16 [==============================] - 0s 5ms/step - loss: 5.8507
16/16 [==============================] - 0s 6ms/step - loss: 5.8507

Testing for epoch 47 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.4170
16/16 [==============================] - 0s 2ms/step - loss: 5.8571
16/16 [==============================] - 0s 2ms/step - loss: 5.8571
16/16 [==============================] - 0s 3ms/step - loss: 5.8571
16/16 [==============================] - 0s 2ms/step - loss: 5.8571
16/16 [==============================] - 0s 2ms/step - loss: 5.8571
16/16 [==============================] - 0s 2ms/step - loss: 5.8571
16/16 [==============================] - 0s 1ms/step - loss: 5.8571
16/16 [==============================] - 0s 860us/step - loss: 5.8571
16/16 [==============================] - 0s 2ms/step - loss: 5.8571

Testing for epoch 47 index 7:
391/391 [==============================] - 0s 959us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.3900
16/16 [==============================] - 0s 2ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 5.8274
16/16 [==============================] - 0s 1ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 5.8274

Testing for epoch 47 index 8:
391/391 [==============================] - 0s 894us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4246
16/16 [==============================] - 0s 2ms/step - loss: 5.8781
16/16 [==============================] - 0s 1ms/step - loss: 5.8781
16/16 [==============================] - 0s 1ms/step - loss: 5.8781
16/16 [==============================] - 0s 2ms/step - loss: 5.8781
16/16 [==============================] - 0s 2ms/step - loss: 5.8781
16/16 [==============================] - 0s 4ms/step - loss: 5.8781
16/16 [==============================] - 0s 1ms/step - loss: 5.8781
16/16 [==============================] - 0s 2ms/step - loss: 5.8781
16/16 [==============================] - 0s 2ms/step - loss: 5.8781

Testing for epoch 47 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4043
16/16 [==============================] - 0s 3ms/step - loss: 5.8448
16/16 [==============================] - 0s 2ms/step - loss: 5.8448
16/16 [==============================] - 0s 3ms/step - loss: 5.8448
16/16 [==============================] - 0s 2ms/step - loss: 5.8448
16/16 [==============================] - 0s 1ms/step - loss: 5.8448
16/16 [==============================] - 0s 3ms/step - loss: 5.8448
16/16 [==============================] - 0s 2ms/step - loss: 5.8448
16/16 [==============================] - 0s 2ms/step - loss: 5.8448
16/16 [==============================] - 0s 3ms/step - loss: 5.8448

Testing for epoch 47 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4261
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 3ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 1ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 1ms/step - loss: 5.8604

Testing for epoch 47 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4025
16/16 [==============================] - 0s 2ms/step - loss: 5.8237
16/16 [==============================] - 0s 2ms/step - loss: 5.8237
16/16 [==============================] - 0s 3ms/step - loss: 5.8237
16/16 [==============================] - 0s 2ms/step - loss: 5.8237
16/16 [==============================] - 0s 2ms/step - loss: 5.8237
16/16 [==============================] - 0s 3ms/step - loss: 5.8237
16/16 [==============================] - 0s 2ms/step - loss: 5.8237
16/16 [==============================] - 0s 3ms/step - loss: 5.8237
16/16 [==============================] - 0s 2ms/step - loss: 5.8237

Testing for epoch 47 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4386
16/16 [==============================] - 0s 2ms/step - loss: 5.8618
16/16 [==============================] - 0s 3ms/step - loss: 5.8618
16/16 [==============================] - 0s 2ms/step - loss: 5.8618
16/16 [==============================] - 0s 2ms/step - loss: 5.8618
16/16 [==============================] - 0s 4ms/step - loss: 5.8618
16/16 [==============================] - 0s 3ms/step - loss: 5.8618
16/16 [==============================] - 0s 2ms/step - loss: 5.8618
16/16 [==============================] - 0s 1ms/step - loss: 5.8618
16/16 [==============================] - 0s 2ms/step - loss: 5.8618

Testing for epoch 47 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4209
16/16 [==============================] - 0s 3ms/step - loss: 5.8368
16/16 [==============================] - 0s 1ms/step - loss: 5.8368
16/16 [==============================] - 0s 3ms/step - loss: 5.8368
16/16 [==============================] - 0s 2ms/step - loss: 5.8368
16/16 [==============================] - 0s 3ms/step - loss: 5.8368
16/16 [==============================] - 0s 3ms/step - loss: 5.8368
16/16 [==============================] - 0s 2ms/step - loss: 5.8368
16/16 [==============================] - 0s 3ms/step - loss: 5.8368
16/16 [==============================] - 0s 3ms/step - loss: 5.8368

Testing for epoch 47 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4511
16/16 [==============================] - 0s 3ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650
16/16 [==============================] - 0s 1ms/step - loss: 5.8650
16/16 [==============================] - 0s 3ms/step - loss: 5.8650
16/16 [==============================] - 0s 3ms/step - loss: 5.8650
16/16 [==============================] - 0s 3ms/step - loss: 5.8650
16/16 [==============================] - 0s 1ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650

Testing for epoch 47 index 15:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4686
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 3ms/step - loss: 5.8850
16/16 [==============================] - 0s 3ms/step - loss: 5.8850
16/16 [==============================] - 0s 3ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 5ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850

Testing for epoch 47 index 16:
391/391 [==============================] - 0s 998us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4879
16/16 [==============================] - 0s 3ms/step - loss: 5.9068
16/16 [==============================] - 0s 2ms/step - loss: 5.9068
16/16 [==============================] - 0s 2ms/step - loss: 5.9068
16/16 [==============================] - 0s 3ms/step - loss: 5.9068
16/16 [==============================] - 0s 3ms/step - loss: 5.9068
16/16 [==============================] - 0s 2ms/step - loss: 5.9068
16/16 [==============================] - 0s 2ms/step - loss: 5.9068
16/16 [==============================] - 0s 2ms/step - loss: 5.9068
16/16 [==============================] - 0s 1ms/step - loss: 5.9068

Testing for epoch 47 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4614
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 1ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 1ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719

Testing for epoch 47 index 18:
391/391 [==============================] - 0s 969us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4644
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 2ms/step - loss: 5.8770
16/16 [==============================] - 0s 1ms/step - loss: 5.8770

Testing for epoch 47 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4688
16/16 [==============================] - 0s 3ms/step - loss: 5.8749
16/16 [==============================] - 0s 3ms/step - loss: 5.8749
16/16 [==============================] - 0s 2ms/step - loss: 5.8749
16/16 [==============================] - 0s 3ms/step - loss: 5.8749
16/16 [==============================] - 0s 2ms/step - loss: 5.8749
16/16 [==============================] - 0s 1ms/step - loss: 5.8749
16/16 [==============================] - 0s 3ms/step - loss: 5.8749
16/16 [==============================] - 0s 2ms/step - loss: 5.8749
16/16 [==============================] - 0s 2ms/step - loss: 5.8749

Testing for epoch 47 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4651
16/16 [==============================] - 0s 4ms/step - loss: 5.8728
16/16 [==============================] - 0s 3ms/step - loss: 5.8728
16/16 [==============================] - 0s 3ms/step - loss: 5.8728
16/16 [==============================] - 0s 3ms/step - loss: 5.8728
16/16 [==============================] - 0s 3ms/step - loss: 5.8728
16/16 [==============================] - 0s 3ms/step - loss: 5.8728
16/16 [==============================] - 0s 1ms/step - loss: 5.8728
16/16 [==============================] - 0s 3ms/step - loss: 5.8728
16/16 [==============================] - 0s 3ms/step - loss: 5.8728

Testing for epoch 47 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4616
16/16 [==============================] - 0s 2ms/step - loss: 5.8702
16/16 [==============================] - 0s 2ms/step - loss: 5.8702
16/16 [==============================] - 0s 2ms/step - loss: 5.8702
16/16 [==============================] - 0s 1ms/step - loss: 5.8702
16/16 [==============================] - 0s 3ms/step - loss: 5.8702
16/16 [==============================] - 0s 4ms/step - loss: 5.8702
16/16 [==============================] - 0s 2ms/step - loss: 5.8702
16/16 [==============================] - 0s 3ms/step - loss: 5.8702
16/16 [==============================] - 0s 2ms/step - loss: 5.8702

Testing for epoch 47 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4909
16/16 [==============================] - 0s 3ms/step - loss: 5.9106
16/16 [==============================] - 0s 5ms/step - loss: 5.9106
16/16 [==============================] - 0s 2ms/step - loss: 5.9106
16/16 [==============================] - 0s 3ms/step - loss: 5.9106
16/16 [==============================] - 0s 3ms/step - loss: 5.9106
16/16 [==============================] - 0s 2ms/step - loss: 5.9106
16/16 [==============================] - 0s 3ms/step - loss: 5.9106
16/16 [==============================] - 0s 2ms/step - loss: 5.9106
16/16 [==============================] - 0s 2ms/step - loss: 5.9106

Testing for epoch 47 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4540
16/16 [==============================] - 0s 3ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650
16/16 [==============================] - 0s 3ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650
16/16 [==============================] - 0s 2ms/step - loss: 5.8650
16/16 [==============================] - 0s 3ms/step - loss: 5.8650
16/16 [==============================] - 0s 1ms/step - loss: 5.8650

Testing for epoch 47 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4579
16/16 [==============================] - 0s 3ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 1ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 5ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 3ms/step - loss: 5.8719
16/16 [==============================] - 0s 2ms/step - loss: 5.8719
16/16 [==============================] - 0s 1ms/step - loss: 5.8719
Epoch 48 of 60

Testing for epoch 48 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4486
16/16 [==============================] - 0s 3ms/step - loss: 5.8604
16/16 [==============================] - 0s 1ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 1ms/step - loss: 5.8604
16/16 [==============================] - 0s 2ms/step - loss: 5.8604
16/16 [==============================] - 0s 3ms/step - loss: 5.8604

Testing for epoch 48 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4804
16/16 [==============================] - 0s 2ms/step - loss: 5.9088
16/16 [==============================] - 0s 1ms/step - loss: 5.9088
16/16 [==============================] - 0s 2ms/step - loss: 5.9088
16/16 [==============================] - 0s 3ms/step - loss: 5.9088
16/16 [==============================] - 0s 2ms/step - loss: 5.9088
16/16 [==============================] - 0s 1ms/step - loss: 5.9088
16/16 [==============================] - 0s 2ms/step - loss: 5.9088
16/16 [==============================] - 0s 2ms/step - loss: 5.9088
16/16 [==============================] - 0s 2ms/step - loss: 5.9088

Testing for epoch 48 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4614
16/16 [==============================] - 0s 3ms/step - loss: 5.8852
16/16 [==============================] - 0s 1ms/step - loss: 5.8852
16/16 [==============================] - 0s 2ms/step - loss: 5.8852
16/16 [==============================] - 0s 2ms/step - loss: 5.8852
16/16 [==============================] - 0s 1ms/step - loss: 5.8852
16/16 [==============================] - 0s 2ms/step - loss: 5.8852
16/16 [==============================] - 0s 2ms/step - loss: 5.8852
16/16 [==============================] - 0s 3ms/step - loss: 5.8852
16/16 [==============================] - 0s 2ms/step - loss: 5.8852

Testing for epoch 48 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4684
16/16 [==============================] - 0s 2ms/step - loss: 5.9038
16/16 [==============================] - 0s 1ms/step - loss: 5.9038
16/16 [==============================] - 0s 3ms/step - loss: 5.9038
16/16 [==============================] - 0s 3ms/step - loss: 5.9038
16/16 [==============================] - 0s 1ms/step - loss: 5.9038
16/16 [==============================] - 0s 3ms/step - loss: 5.9038
16/16 [==============================] - 0s 5ms/step - loss: 5.9038
16/16 [==============================] - 0s 3ms/step - loss: 5.9038
16/16 [==============================] - 0s 2ms/step - loss: 5.9038

Testing for epoch 48 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4611
16/16 [==============================] - 0s 2ms/step - loss: 5.8952
16/16 [==============================] - 0s 2ms/step - loss: 5.8952
16/16 [==============================] - 0s 4ms/step - loss: 5.8952
16/16 [==============================] - 0s 2ms/step - loss: 5.8952
16/16 [==============================] - 0s 1ms/step - loss: 5.8952
16/16 [==============================] - 0s 2ms/step - loss: 5.8952
16/16 [==============================] - 0s 4ms/step - loss: 5.8952
16/16 [==============================] - 0s 2ms/step - loss: 5.8952
16/16 [==============================] - 0s 2ms/step - loss: 5.8952

Testing for epoch 48 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4546
16/16 [==============================] - 0s 2ms/step - loss: 5.8867
16/16 [==============================] - 0s 3ms/step - loss: 5.8867
16/16 [==============================] - 0s 951us/step - loss: 5.8867
16/16 [==============================] - 0s 2ms/step - loss: 5.8867
16/16 [==============================] - 0s 1ms/step - loss: 5.8867
16/16 [==============================] - 0s 1ms/step - loss: 5.8867
16/16 [==============================] - 0s 2ms/step - loss: 5.8867
16/16 [==============================] - 0s 2ms/step - loss: 5.8867
16/16 [==============================] - 0s 4ms/step - loss: 5.8867

Testing for epoch 48 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4466
16/16 [==============================] - 0s 2ms/step - loss: 5.8840
16/16 [==============================] - 0s 2ms/step - loss: 5.8840
16/16 [==============================] - 0s 5ms/step - loss: 5.8840
16/16 [==============================] - 0s 2ms/step - loss: 5.8840
16/16 [==============================] - 0s 1ms/step - loss: 5.8840
16/16 [==============================] - 0s 2ms/step - loss: 5.8840
16/16 [==============================] - 0s 1ms/step - loss: 5.8840
16/16 [==============================] - 0s 2ms/step - loss: 5.8840
16/16 [==============================] - 0s 5ms/step - loss: 5.8840

Testing for epoch 48 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.4396
16/16 [==============================] - 0s 2ms/step - loss: 5.8801
16/16 [==============================] - 0s 2ms/step - loss: 5.8801
16/16 [==============================] - 0s 1ms/step - loss: 5.8801
16/16 [==============================] - 0s 2ms/step - loss: 5.8801
16/16 [==============================] - 0s 2ms/step - loss: 5.8801
16/16 [==============================] - 0s 3ms/step - loss: 5.8801
16/16 [==============================] - 0s 2ms/step - loss: 5.8801
16/16 [==============================] - 0s 2ms/step - loss: 5.8801
16/16 [==============================] - 0s 2ms/step - loss: 5.8801

Testing for epoch 48 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4550
16/16 [==============================] - 0s 2ms/step - loss: 5.8986
16/16 [==============================] - 0s 2ms/step - loss: 5.8986
16/16 [==============================] - 0s 2ms/step - loss: 5.8986
16/16 [==============================] - 0s 3ms/step - loss: 5.8986
16/16 [==============================] - 0s 5ms/step - loss: 5.8986
16/16 [==============================] - 0s 1ms/step - loss: 5.8986
16/16 [==============================] - 0s 2ms/step - loss: 5.8986
16/16 [==============================] - 0s 2ms/step - loss: 5.8986
16/16 [==============================] - 0s 3ms/step - loss: 5.8986

Testing for epoch 48 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4652
16/16 [==============================] - 0s 2ms/step - loss: 5.8996
16/16 [==============================] - 0s 2ms/step - loss: 5.8996
16/16 [==============================] - 0s 2ms/step - loss: 5.8996
16/16 [==============================] - 0s 2ms/step - loss: 5.8996
16/16 [==============================] - 0s 1ms/step - loss: 5.8996
16/16 [==============================] - 0s 1ms/step - loss: 5.8996
16/16 [==============================] - 0s 2ms/step - loss: 5.8996
16/16 [==============================] - 0s 2ms/step - loss: 5.8996
16/16 [==============================] - 0s 2ms/step - loss: 5.8996

Testing for epoch 48 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4746
16/16 [==============================] - 0s 2ms/step - loss: 5.8978
16/16 [==============================] - 0s 3ms/step - loss: 5.8978
16/16 [==============================] - 0s 2ms/step - loss: 5.8978
16/16 [==============================] - 0s 3ms/step - loss: 5.8978
16/16 [==============================] - 0s 1ms/step - loss: 5.8978
16/16 [==============================] - 0s 3ms/step - loss: 5.8978
16/16 [==============================] - 0s 5ms/step - loss: 5.8978
16/16 [==============================] - 0s 3ms/step - loss: 5.8978
16/16 [==============================] - 0s 4ms/step - loss: 5.8978

Testing for epoch 48 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4723
16/16 [==============================] - 0s 2ms/step - loss: 5.8947
16/16 [==============================] - 0s 1ms/step - loss: 5.8947
16/16 [==============================] - 0s 2ms/step - loss: 5.8947
16/16 [==============================] - 0s 2ms/step - loss: 5.8947
16/16 [==============================] - 0s 3ms/step - loss: 5.8947
16/16 [==============================] - 0s 1ms/step - loss: 5.8947
16/16 [==============================] - 0s 3ms/step - loss: 5.8947
16/16 [==============================] - 0s 3ms/step - loss: 5.8947
16/16 [==============================] - 0s 2ms/step - loss: 5.8947

Testing for epoch 48 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4836
16/16 [==============================] - 0s 2ms/step - loss: 5.8984
16/16 [==============================] - 0s 3ms/step - loss: 5.8984
16/16 [==============================] - 0s 3ms/step - loss: 5.8984
16/16 [==============================] - 0s 4ms/step - loss: 5.8984
16/16 [==============================] - 0s 1ms/step - loss: 5.8984
16/16 [==============================] - 0s 1ms/step - loss: 5.8984
16/16 [==============================] - 0s 2ms/step - loss: 5.8984
16/16 [==============================] - 0s 2ms/step - loss: 5.8984
16/16 [==============================] - 0s 2ms/step - loss: 5.8984

Testing for epoch 48 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4825
16/16 [==============================] - 0s 2ms/step - loss: 5.8897
16/16 [==============================] - 0s 2ms/step - loss: 5.8897
16/16 [==============================] - 0s 2ms/step - loss: 5.8897
16/16 [==============================] - 0s 3ms/step - loss: 5.8897
16/16 [==============================] - 0s 2ms/step - loss: 5.8897
16/16 [==============================] - 0s 2ms/step - loss: 5.8897
16/16 [==============================] - 0s 2ms/step - loss: 5.8897
16/16 [==============================] - 0s 2ms/step - loss: 5.8897
16/16 [==============================] - 0s 2ms/step - loss: 5.8897

Testing for epoch 48 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4900
16/16 [==============================] - 0s 2ms/step - loss: 5.8959
16/16 [==============================] - 0s 3ms/step - loss: 5.8959
16/16 [==============================] - 0s 2ms/step - loss: 5.8959
16/16 [==============================] - 0s 3ms/step - loss: 5.8959
16/16 [==============================] - 0s 2ms/step - loss: 5.8959
16/16 [==============================] - 0s 2ms/step - loss: 5.8959
16/16 [==============================] - 0s 2ms/step - loss: 5.8959
16/16 [==============================] - 0s 1ms/step - loss: 5.8959
16/16 [==============================] - 0s 2ms/step - loss: 5.8959

Testing for epoch 48 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4798
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850
16/16 [==============================] - 0s 4ms/step - loss: 5.8850
16/16 [==============================] - 0s 1ms/step - loss: 5.8850
16/16 [==============================] - 0s 4ms/step - loss: 5.8850
16/16 [==============================] - 0s 2ms/step - loss: 5.8850

Testing for epoch 48 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4976
16/16 [==============================] - 0s 2ms/step - loss: 5.9012
16/16 [==============================] - 0s 3ms/step - loss: 5.9012
16/16 [==============================] - 0s 2ms/step - loss: 5.9012
16/16 [==============================] - 0s 1ms/step - loss: 5.9012
16/16 [==============================] - 0s 3ms/step - loss: 5.9012
16/16 [==============================] - 0s 3ms/step - loss: 5.9012
16/16 [==============================] - 0s 1ms/step - loss: 5.9012
16/16 [==============================] - 0s 2ms/step - loss: 5.9012
16/16 [==============================] - 0s 3ms/step - loss: 5.9012

Testing for epoch 48 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4950
16/16 [==============================] - 0s 1ms/step - loss: 5.8992
16/16 [==============================] - 0s 3ms/step - loss: 5.8992
16/16 [==============================] - 0s 3ms/step - loss: 5.8992
16/16 [==============================] - 0s 3ms/step - loss: 5.8992
16/16 [==============================] - 0s 3ms/step - loss: 5.8992
16/16 [==============================] - 0s 5ms/step - loss: 5.8992
16/16 [==============================] - 0s 3ms/step - loss: 5.8992
16/16 [==============================] - 0s 2ms/step - loss: 5.8992
16/16 [==============================] - 0s 4ms/step - loss: 5.8992

Testing for epoch 48 index 19:
391/391 [==============================] - 0s 987us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4983
16/16 [==============================] - 0s 2ms/step - loss: 5.9016
16/16 [==============================] - 0s 1ms/step - loss: 5.9016
16/16 [==============================] - 0s 1ms/step - loss: 5.9016
16/16 [==============================] - 0s 4ms/step - loss: 5.9016
16/16 [==============================] - 0s 3ms/step - loss: 5.9016
16/16 [==============================] - 0s 3ms/step - loss: 5.9016
16/16 [==============================] - 0s 2ms/step - loss: 5.9016
16/16 [==============================] - 0s 2ms/step - loss: 5.9016
16/16 [==============================] - 0s 2ms/step - loss: 5.9016

Testing for epoch 48 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5049
16/16 [==============================] - 0s 4ms/step - loss: 5.9127
16/16 [==============================] - 0s 2ms/step - loss: 5.9127
16/16 [==============================] - 0s 3ms/step - loss: 5.9127
16/16 [==============================] - 0s 3ms/step - loss: 5.9127
16/16 [==============================] - 0s 1ms/step - loss: 5.9127
16/16 [==============================] - 0s 2ms/step - loss: 5.9127
16/16 [==============================] - 0s 3ms/step - loss: 5.9127
16/16 [==============================] - 0s 2ms/step - loss: 5.9127
16/16 [==============================] - 0s 2ms/step - loss: 5.9127

Testing for epoch 48 index 21:
391/391 [==============================] - 0s 637us/step
16/16 [==============================] - 0s 911us/step - loss: 5.5053
16/16 [==============================] - 0s 900us/step - loss: 5.9198
16/16 [==============================] - 0s 886us/step - loss: 5.9198
16/16 [==============================] - 0s 883us/step - loss: 5.9198
16/16 [==============================] - 0s 872us/step - loss: 5.9198
16/16 [==============================] - 0s 868us/step - loss: 5.9198
16/16 [==============================] - 0s 877us/step - loss: 5.9198
16/16 [==============================] - 0s 820us/step - loss: 5.9198
16/16 [==============================] - 0s 819us/step - loss: 5.9198
16/16 [==============================] - 0s 842us/step - loss: 5.9198

Testing for epoch 48 index 22:
391/391 [==============================] - 0s 642us/step
16/16 [==============================] - 0s 830us/step - loss: 5.4909
16/16 [==============================] - 0s 2ms/step - loss: 5.8980
16/16 [==============================] - 0s 2ms/step - loss: 5.8980
16/16 [==============================] - 0s 794us/step - loss: 5.8980
16/16 [==============================] - 0s 758us/step - loss: 5.8980
16/16 [==============================] - 0s 804us/step - loss: 5.8980
16/16 [==============================] - 0s 800us/step - loss: 5.8980
16/16 [==============================] - 0s 790us/step - loss: 5.8980
16/16 [==============================] - 0s 789us/step - loss: 5.8980
16/16 [==============================] - 0s 2ms/step - loss: 5.8980

Testing for epoch 48 index 23:
391/391 [==============================] - 0s 732us/step
16/16 [==============================] - 0s 931us/step - loss: 5.5092
16/16 [==============================] - 0s 2ms/step - loss: 5.9219
16/16 [==============================] - 0s 2ms/step - loss: 5.9219
16/16 [==============================] - 0s 13ms/step - loss: 5.9219
16/16 [==============================] - 0s 3ms/step - loss: 5.9219
16/16 [==============================] - 0s 7ms/step - loss: 5.9219
16/16 [==============================] - 0s 3ms/step - loss: 5.9219
16/16 [==============================] - 0s 2ms/step - loss: 5.9219
16/16 [==============================] - 0s 7ms/step - loss: 5.9219
16/16 [==============================] - 0s 5ms/step - loss: 5.9219

Testing for epoch 48 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5031
16/16 [==============================] - 0s 2ms/step - loss: 5.9185
16/16 [==============================] - 0s 4ms/step - loss: 5.9185
16/16 [==============================] - 0s 4ms/step - loss: 5.9185
16/16 [==============================] - 0s 3ms/step - loss: 5.9185
16/16 [==============================] - 0s 2ms/step - loss: 5.9185
16/16 [==============================] - 0s 3ms/step - loss: 5.9185
16/16 [==============================] - 0s 3ms/step - loss: 5.9185
16/16 [==============================] - 0s 4ms/step - loss: 5.9185
16/16 [==============================] - 0s 2ms/step - loss: 5.9185
Epoch 49 of 60

Testing for epoch 49 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5075
16/16 [==============================] - 0s 3ms/step - loss: 5.9260
16/16 [==============================] - 0s 1ms/step - loss: 5.9260
16/16 [==============================] - 0s 2ms/step - loss: 5.9260
16/16 [==============================] - 0s 3ms/step - loss: 5.9260
16/16 [==============================] - 0s 2ms/step - loss: 5.9260
16/16 [==============================] - 0s 2ms/step - loss: 5.9260
16/16 [==============================] - 0s 5ms/step - loss: 5.9260
16/16 [==============================] - 0s 6ms/step - loss: 5.9260
16/16 [==============================] - 0s 5ms/step - loss: 5.9260

Testing for epoch 49 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.4931
16/16 [==============================] - 0s 2ms/step - loss: 5.9034
16/16 [==============================] - 0s 3ms/step - loss: 5.9034
16/16 [==============================] - 0s 3ms/step - loss: 5.9034
16/16 [==============================] - 0s 3ms/step - loss: 5.9034
16/16 [==============================] - 0s 3ms/step - loss: 5.9034
16/16 [==============================] - 0s 2ms/step - loss: 5.9034
16/16 [==============================] - 0s 3ms/step - loss: 5.9034
16/16 [==============================] - 0s 5ms/step - loss: 5.9034
16/16 [==============================] - 0s 2ms/step - loss: 5.9034

Testing for epoch 49 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5125
16/16 [==============================] - 0s 1ms/step - loss: 5.9373
16/16 [==============================] - 0s 1ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 4ms/step - loss: 5.9373
16/16 [==============================] - 0s 5ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 3ms/step - loss: 5.9373
16/16 [==============================] - 0s 4ms/step - loss: 5.9373
16/16 [==============================] - 0s 3ms/step - loss: 5.9373

Testing for epoch 49 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4753
16/16 [==============================] - 0s 2ms/step - loss: 5.8901
16/16 [==============================] - 0s 1ms/step - loss: 5.8901
16/16 [==============================] - 0s 4ms/step - loss: 5.8901
16/16 [==============================] - 0s 2ms/step - loss: 5.8901
16/16 [==============================] - 0s 2ms/step - loss: 5.8901
16/16 [==============================] - 0s 2ms/step - loss: 5.8901
16/16 [==============================] - 0s 3ms/step - loss: 5.8901
16/16 [==============================] - 0s 3ms/step - loss: 5.8901
16/16 [==============================] - 0s 3ms/step - loss: 5.8901

Testing for epoch 49 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.4921
16/16 [==============================] - 0s 4ms/step - loss: 5.9146
16/16 [==============================] - 0s 3ms/step - loss: 5.9146
16/16 [==============================] - 0s 5ms/step - loss: 5.9146
16/16 [==============================] - 0s 2ms/step - loss: 5.9146
16/16 [==============================] - 0s 1ms/step - loss: 5.9146
16/16 [==============================] - 0s 7ms/step - loss: 5.9146
16/16 [==============================] - 0s 5ms/step - loss: 5.9146
16/16 [==============================] - 0s 6ms/step - loss: 5.9146
16/16 [==============================] - 0s 2ms/step - loss: 5.9146

Testing for epoch 49 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.4775
16/16 [==============================] - 0s 3ms/step - loss: 5.8994
16/16 [==============================] - 0s 2ms/step - loss: 5.8994
16/16 [==============================] - 0s 1ms/step - loss: 5.8994
16/16 [==============================] - 0s 3ms/step - loss: 5.8994
16/16 [==============================] - 0s 4ms/step - loss: 5.8994
16/16 [==============================] - 0s 5ms/step - loss: 5.8994
16/16 [==============================] - 0s 1ms/step - loss: 5.8994
16/16 [==============================] - 0s 2ms/step - loss: 5.8994
16/16 [==============================] - 0s 2ms/step - loss: 5.8994

Testing for epoch 49 index 7:
391/391 [==============================] - 0s 598us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.4705
16/16 [==============================] - 0s 891us/step - loss: 5.8956
16/16 [==============================] - 0s 906us/step - loss: 5.8956
16/16 [==============================] - 0s 881us/step - loss: 5.8956
16/16 [==============================] - 0s 909us/step - loss: 5.8956
16/16 [==============================] - 0s 892us/step - loss: 5.8956
16/16 [==============================] - 0s 880us/step - loss: 5.8956
16/16 [==============================] - 0s 2ms/step - loss: 5.8956
16/16 [==============================] - 0s 899us/step - loss: 5.8956
16/16 [==============================] - 0s 886us/step - loss: 5.8956

Testing for epoch 49 index 8:
391/391 [==============================] - 0s 633us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4820
16/16 [==============================] - 0s 2ms/step - loss: 5.9230
16/16 [==============================] - 0s 2ms/step - loss: 5.9230
16/16 [==============================] - 0s 4ms/step - loss: 5.9230
16/16 [==============================] - 0s 3ms/step - loss: 5.9230
16/16 [==============================] - 0s 2ms/step - loss: 5.9230
16/16 [==============================] - 0s 4ms/step - loss: 5.9230
16/16 [==============================] - 0s 2ms/step - loss: 5.9230
16/16 [==============================] - 0s 2ms/step - loss: 5.9230
16/16 [==============================] - 0s 3ms/step - loss: 5.9230

Testing for epoch 49 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4863
16/16 [==============================] - 0s 4ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 5ms/step - loss: 5.9217

Testing for epoch 49 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5132
16/16 [==============================] - 0s 2ms/step - loss: 5.9435
16/16 [==============================] - 0s 2ms/step - loss: 5.9435
16/16 [==============================] - 0s 3ms/step - loss: 5.9435
16/16 [==============================] - 0s 2ms/step - loss: 5.9435
16/16 [==============================] - 0s 3ms/step - loss: 5.9435
16/16 [==============================] - 0s 2ms/step - loss: 5.9435
16/16 [==============================] - 0s 2ms/step - loss: 5.9435
16/16 [==============================] - 0s 2ms/step - loss: 5.9435
16/16 [==============================] - 0s 3ms/step - loss: 5.9435

Testing for epoch 49 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5026
16/16 [==============================] - 0s 2ms/step - loss: 5.9279
16/16 [==============================] - 0s 2ms/step - loss: 5.9279
16/16 [==============================] - 0s 1ms/step - loss: 5.9279
16/16 [==============================] - 0s 2ms/step - loss: 5.9279
16/16 [==============================] - 0s 2ms/step - loss: 5.9279
16/16 [==============================] - 0s 2ms/step - loss: 5.9279
16/16 [==============================] - 0s 2ms/step - loss: 5.9279
16/16 [==============================] - 0s 3ms/step - loss: 5.9279
16/16 [==============================] - 0s 2ms/step - loss: 5.9279

Testing for epoch 49 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5304
16/16 [==============================] - 0s 2ms/step - loss: 5.9527
16/16 [==============================] - 0s 2ms/step - loss: 5.9527
16/16 [==============================] - 0s 2ms/step - loss: 5.9527
16/16 [==============================] - 0s 2ms/step - loss: 5.9527
16/16 [==============================] - 0s 2ms/step - loss: 5.9527
16/16 [==============================] - 0s 2ms/step - loss: 5.9527
16/16 [==============================] - 0s 2ms/step - loss: 5.9527
16/16 [==============================] - 0s 3ms/step - loss: 5.9527
16/16 [==============================] - 0s 2ms/step - loss: 5.9527

Testing for epoch 49 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5094
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 4ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217
16/16 [==============================] - 0s 2ms/step - loss: 5.9217

Testing for epoch 49 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5246
16/16 [==============================] - 0s 2ms/step - loss: 5.9308
16/16 [==============================] - 0s 2ms/step - loss: 5.9308
16/16 [==============================] - 0s 2ms/step - loss: 5.9308
16/16 [==============================] - 0s 2ms/step - loss: 5.9308
16/16 [==============================] - 0s 1ms/step - loss: 5.9308
16/16 [==============================] - 0s 1ms/step - loss: 5.9308
16/16 [==============================] - 0s 5ms/step - loss: 5.9308
16/16 [==============================] - 0s 1ms/step - loss: 5.9308
16/16 [==============================] - 0s 2ms/step - loss: 5.9308

Testing for epoch 49 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5373
16/16 [==============================] - 0s 2ms/step - loss: 5.9453
16/16 [==============================] - 0s 2ms/step - loss: 5.9453
16/16 [==============================] - 0s 2ms/step - loss: 5.9453
16/16 [==============================] - 0s 2ms/step - loss: 5.9453
16/16 [==============================] - 0s 3ms/step - loss: 5.9453
16/16 [==============================] - 0s 3ms/step - loss: 5.9453
16/16 [==============================] - 0s 2ms/step - loss: 5.9453
16/16 [==============================] - 0s 2ms/step - loss: 5.9453
16/16 [==============================] - 0s 2ms/step - loss: 5.9453

Testing for epoch 49 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5234
16/16 [==============================] - 0s 2ms/step - loss: 5.9239
16/16 [==============================] - 0s 2ms/step - loss: 5.9239
16/16 [==============================] - 0s 2ms/step - loss: 5.9239
16/16 [==============================] - 0s 2ms/step - loss: 5.9239
16/16 [==============================] - 0s 2ms/step - loss: 5.9239
16/16 [==============================] - 0s 4ms/step - loss: 5.9239
16/16 [==============================] - 0s 2ms/step - loss: 5.9239
16/16 [==============================] - 0s 3ms/step - loss: 5.9239
16/16 [==============================] - 0s 2ms/step - loss: 5.9239

Testing for epoch 49 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5220
16/16 [==============================] - 0s 2ms/step - loss: 5.9266
16/16 [==============================] - 0s 2ms/step - loss: 5.9266
16/16 [==============================] - 0s 2ms/step - loss: 5.9266
16/16 [==============================] - 0s 2ms/step - loss: 5.9266
16/16 [==============================] - 0s 2ms/step - loss: 5.9266
16/16 [==============================] - 0s 3ms/step - loss: 5.9266
16/16 [==============================] - 0s 2ms/step - loss: 5.9266
16/16 [==============================] - 0s 4ms/step - loss: 5.9266
16/16 [==============================] - 0s 2ms/step - loss: 5.9266

Testing for epoch 49 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5297
16/16 [==============================] - 0s 1ms/step - loss: 5.9377
16/16 [==============================] - 0s 2ms/step - loss: 5.9377
16/16 [==============================] - 0s 2ms/step - loss: 5.9377
16/16 [==============================] - 0s 2ms/step - loss: 5.9377
16/16 [==============================] - 0s 3ms/step - loss: 5.9377
16/16 [==============================] - 0s 2ms/step - loss: 5.9377
16/16 [==============================] - 0s 2ms/step - loss: 5.9377
16/16 [==============================] - 0s 1ms/step - loss: 5.9377
16/16 [==============================] - 0s 2ms/step - loss: 5.9377

Testing for epoch 49 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5393
16/16 [==============================] - 0s 2ms/step - loss: 5.9436
16/16 [==============================] - 0s 4ms/step - loss: 5.9436
16/16 [==============================] - 0s 2ms/step - loss: 5.9436
16/16 [==============================] - 0s 2ms/step - loss: 5.9436
16/16 [==============================] - 0s 2ms/step - loss: 5.9436
16/16 [==============================] - 0s 2ms/step - loss: 5.9436
16/16 [==============================] - 0s 2ms/step - loss: 5.9436
16/16 [==============================] - 0s 2ms/step - loss: 5.9436
16/16 [==============================] - 0s 2ms/step - loss: 5.9436

Testing for epoch 49 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5257
16/16 [==============================] - 0s 2ms/step - loss: 5.9276
16/16 [==============================] - 0s 2ms/step - loss: 5.9276
16/16 [==============================] - 0s 3ms/step - loss: 5.9276
16/16 [==============================] - 0s 2ms/step - loss: 5.9276
16/16 [==============================] - 0s 1ms/step - loss: 5.9276
16/16 [==============================] - 0s 2ms/step - loss: 5.9276
16/16 [==============================] - 0s 2ms/step - loss: 5.9276
16/16 [==============================] - 0s 3ms/step - loss: 5.9276
16/16 [==============================] - 0s 2ms/step - loss: 5.9276

Testing for epoch 49 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5440
16/16 [==============================] - 0s 2ms/step - loss: 5.9518
16/16 [==============================] - 0s 2ms/step - loss: 5.9518
16/16 [==============================] - 0s 3ms/step - loss: 5.9518
16/16 [==============================] - 0s 2ms/step - loss: 5.9518
16/16 [==============================] - 0s 2ms/step - loss: 5.9518
16/16 [==============================] - 0s 4ms/step - loss: 5.9518
16/16 [==============================] - 0s 2ms/step - loss: 5.9518
16/16 [==============================] - 0s 2ms/step - loss: 5.9518
16/16 [==============================] - 0s 2ms/step - loss: 5.9518

Testing for epoch 49 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5080
16/16 [==============================] - 0s 2ms/step - loss: 5.9041
16/16 [==============================] - 0s 3ms/step - loss: 5.9041
16/16 [==============================] - 0s 5ms/step - loss: 5.9041
16/16 [==============================] - 0s 2ms/step - loss: 5.9041
16/16 [==============================] - 0s 2ms/step - loss: 5.9041
16/16 [==============================] - 0s 2ms/step - loss: 5.9041
16/16 [==============================] - 0s 2ms/step - loss: 5.9041
16/16 [==============================] - 0s 3ms/step - loss: 5.9041
16/16 [==============================] - 0s 3ms/step - loss: 5.9041

Testing for epoch 49 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5403
16/16 [==============================] - 0s 2ms/step - loss: 5.9492
16/16 [==============================] - 0s 2ms/step - loss: 5.9492
16/16 [==============================] - 0s 2ms/step - loss: 5.9492
16/16 [==============================] - 0s 2ms/step - loss: 5.9492
16/16 [==============================] - 0s 2ms/step - loss: 5.9492
16/16 [==============================] - 0s 2ms/step - loss: 5.9492
16/16 [==============================] - 0s 2ms/step - loss: 5.9492
16/16 [==============================] - 0s 5ms/step - loss: 5.9492
16/16 [==============================] - 0s 2ms/step - loss: 5.9492

Testing for epoch 49 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5163
16/16 [==============================] - 0s 1ms/step - loss: 5.9201
16/16 [==============================] - 0s 2ms/step - loss: 5.9201
16/16 [==============================] - 0s 3ms/step - loss: 5.9201
16/16 [==============================] - 0s 1ms/step - loss: 5.9201
16/16 [==============================] - 0s 2ms/step - loss: 5.9201
16/16 [==============================] - 0s 2ms/step - loss: 5.9201
16/16 [==============================] - 0s 1ms/step - loss: 5.9201
16/16 [==============================] - 0s 2ms/step - loss: 5.9201
16/16 [==============================] - 0s 2ms/step - loss: 5.9201
Epoch 50 of 60

Testing for epoch 50 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5540
16/16 [==============================] - 0s 2ms/step - loss: 5.9749
16/16 [==============================] - 0s 2ms/step - loss: 5.9749
16/16 [==============================] - 0s 3ms/step - loss: 5.9749
16/16 [==============================] - 0s 2ms/step - loss: 5.9749
16/16 [==============================] - 0s 4ms/step - loss: 5.9749
16/16 [==============================] - 0s 3ms/step - loss: 5.9749
16/16 [==============================] - 0s 3ms/step - loss: 5.9749
16/16 [==============================] - 0s 3ms/step - loss: 5.9749
16/16 [==============================] - 0s 2ms/step - loss: 5.9749

Testing for epoch 50 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5292
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428
16/16 [==============================] - 0s 2ms/step - loss: 5.9428

Testing for epoch 50 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5278
16/16 [==============================] - 0s 2ms/step - loss: 5.9397
16/16 [==============================] - 0s 2ms/step - loss: 5.9397
16/16 [==============================] - 0s 4ms/step - loss: 5.9397
16/16 [==============================] - 0s 2ms/step - loss: 5.9397
16/16 [==============================] - 0s 2ms/step - loss: 5.9397
16/16 [==============================] - 0s 3ms/step - loss: 5.9397
16/16 [==============================] - 0s 2ms/step - loss: 5.9397
16/16 [==============================] - 0s 2ms/step - loss: 5.9397
16/16 [==============================] - 0s 2ms/step - loss: 5.9397

Testing for epoch 50 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.4987
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.9074
16/16 [==============================] - 0s 3ms/step - loss: 5.9074
16/16 [==============================] - 0s 2ms/step - loss: 5.9074

Testing for epoch 50 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5022
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167
16/16 [==============================] - 0s 2ms/step - loss: 5.9167

Testing for epoch 50 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5177
16/16 [==============================] - 0s 2ms/step - loss: 5.9412
16/16 [==============================] - 0s 2ms/step - loss: 5.9412
16/16 [==============================] - 0s 2ms/step - loss: 5.9412
16/16 [==============================] - 0s 1ms/step - loss: 5.9412
16/16 [==============================] - 0s 2ms/step - loss: 5.9412
16/16 [==============================] - 0s 4ms/step - loss: 5.9412
16/16 [==============================] - 0s 2ms/step - loss: 5.9412
16/16 [==============================] - 0s 2ms/step - loss: 5.9412
16/16 [==============================] - 0s 2ms/step - loss: 5.9412

Testing for epoch 50 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5448
16/16 [==============================] - 0s 2ms/step - loss: 5.9869
16/16 [==============================] - 0s 2ms/step - loss: 5.9869
16/16 [==============================] - 0s 2ms/step - loss: 5.9869
16/16 [==============================] - 0s 2ms/step - loss: 5.9869
16/16 [==============================] - 0s 1ms/step - loss: 5.9869
16/16 [==============================] - 0s 2ms/step - loss: 5.9869
16/16 [==============================] - 0s 2ms/step - loss: 5.9869
16/16 [==============================] - 0s 2ms/step - loss: 5.9869
16/16 [==============================] - 0s 2ms/step - loss: 5.9869

Testing for epoch 50 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5185
16/16 [==============================] - 0s 2ms/step - loss: 5.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.9530
16/16 [==============================] - 0s 1ms/step - loss: 5.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.9530
16/16 [==============================] - 0s 2ms/step - loss: 5.9530

Testing for epoch 50 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5264
16/16 [==============================] - 0s 3ms/step - loss: 5.9591
16/16 [==============================] - 0s 2ms/step - loss: 5.9591
16/16 [==============================] - 0s 2ms/step - loss: 5.9591
16/16 [==============================] - 0s 2ms/step - loss: 5.9591
16/16 [==============================] - 0s 2ms/step - loss: 5.9591
16/16 [==============================] - 0s 2ms/step - loss: 5.9591
16/16 [==============================] - 0s 4ms/step - loss: 5.9591
16/16 [==============================] - 0s 2ms/step - loss: 5.9591
16/16 [==============================] - 0s 964us/step - loss: 5.9591

Testing for epoch 50 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5257
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509
16/16 [==============================] - 0s 2ms/step - loss: 5.9509

Testing for epoch 50 index 11:
391/391 [==============================] - 0s 943us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5532
16/16 [==============================] - 0s 2ms/step - loss: 5.9807
16/16 [==============================] - 0s 2ms/step - loss: 5.9807
16/16 [==============================] - 0s 1ms/step - loss: 5.9807
16/16 [==============================] - 0s 2ms/step - loss: 5.9807
16/16 [==============================] - 0s 2ms/step - loss: 5.9807
16/16 [==============================] - 0s 2ms/step - loss: 5.9807
16/16 [==============================] - 0s 2ms/step - loss: 5.9807
16/16 [==============================] - 0s 3ms/step - loss: 5.9807
16/16 [==============================] - 0s 1ms/step - loss: 5.9807

Testing for epoch 50 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5352
16/16 [==============================] - 0s 2ms/step - loss: 5.9473
16/16 [==============================] - 0s 2ms/step - loss: 5.9473
16/16 [==============================] - 0s 2ms/step - loss: 5.9473
16/16 [==============================] - 0s 3ms/step - loss: 5.9473
16/16 [==============================] - 0s 2ms/step - loss: 5.9473
16/16 [==============================] - 0s 2ms/step - loss: 5.9473
16/16 [==============================] - 0s 2ms/step - loss: 5.9473
16/16 [==============================] - 0s 2ms/step - loss: 5.9473
16/16 [==============================] - 0s 2ms/step - loss: 5.9473

Testing for epoch 50 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5357
16/16 [==============================] - 0s 1ms/step - loss: 5.9390
16/16 [==============================] - 0s 1ms/step - loss: 5.9390
16/16 [==============================] - 0s 2ms/step - loss: 5.9390
16/16 [==============================] - 0s 3ms/step - loss: 5.9390
16/16 [==============================] - 0s 3ms/step - loss: 5.9390
16/16 [==============================] - 0s 2ms/step - loss: 5.9390
16/16 [==============================] - 0s 1ms/step - loss: 5.9390
16/16 [==============================] - 0s 2ms/step - loss: 5.9390
16/16 [==============================] - 0s 2ms/step - loss: 5.9390

Testing for epoch 50 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5385
16/16 [==============================] - 0s 2ms/step - loss: 5.9423
16/16 [==============================] - 0s 2ms/step - loss: 5.9423
16/16 [==============================] - 0s 2ms/step - loss: 5.9423
16/16 [==============================] - 0s 3ms/step - loss: 5.9423
16/16 [==============================] - 0s 3ms/step - loss: 5.9423
16/16 [==============================] - 0s 2ms/step - loss: 5.9423
16/16 [==============================] - 0s 2ms/step - loss: 5.9423
16/16 [==============================] - 0s 2ms/step - loss: 5.9423
16/16 [==============================] - 0s 3ms/step - loss: 5.9423

Testing for epoch 50 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5824
16/16 [==============================] - 0s 1ms/step - loss: 5.9902
16/16 [==============================] - 0s 2ms/step - loss: 5.9902
16/16 [==============================] - 0s 2ms/step - loss: 5.9902
16/16 [==============================] - 0s 5ms/step - loss: 5.9902
16/16 [==============================] - 0s 2ms/step - loss: 5.9902
16/16 [==============================] - 0s 2ms/step - loss: 5.9902
16/16 [==============================] - 0s 2ms/step - loss: 5.9902
16/16 [==============================] - 0s 2ms/step - loss: 5.9902
16/16 [==============================] - 0s 2ms/step - loss: 5.9902

Testing for epoch 50 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5672
16/16 [==============================] - 0s 4ms/step - loss: 5.9663
16/16 [==============================] - 0s 2ms/step - loss: 5.9663
16/16 [==============================] - 0s 2ms/step - loss: 5.9663
16/16 [==============================] - 0s 2ms/step - loss: 5.9663
16/16 [==============================] - 0s 3ms/step - loss: 5.9663
16/16 [==============================] - 0s 1ms/step - loss: 5.9663
16/16 [==============================] - 0s 2ms/step - loss: 5.9663
16/16 [==============================] - 0s 2ms/step - loss: 5.9663
16/16 [==============================] - 0s 2ms/step - loss: 5.9663

Testing for epoch 50 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5600
16/16 [==============================] - 0s 2ms/step - loss: 5.9649
16/16 [==============================] - 0s 2ms/step - loss: 5.9649
16/16 [==============================] - 0s 3ms/step - loss: 5.9649
16/16 [==============================] - 0s 1ms/step - loss: 5.9649
16/16 [==============================] - 0s 2ms/step - loss: 5.9649
16/16 [==============================] - 0s 2ms/step - loss: 5.9649
16/16 [==============================] - 0s 3ms/step - loss: 5.9649
16/16 [==============================] - 0s 2ms/step - loss: 5.9649
16/16 [==============================] - 0s 3ms/step - loss: 5.9649

Testing for epoch 50 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5659
16/16 [==============================] - 0s 2ms/step - loss: 5.9645
16/16 [==============================] - 0s 2ms/step - loss: 5.9645
16/16 [==============================] - 0s 3ms/step - loss: 5.9645
16/16 [==============================] - 0s 1ms/step - loss: 5.9645
16/16 [==============================] - 0s 2ms/step - loss: 5.9645
16/16 [==============================] - 0s 2ms/step - loss: 5.9645
16/16 [==============================] - 0s 4ms/step - loss: 5.9645
16/16 [==============================] - 0s 1ms/step - loss: 5.9645
16/16 [==============================] - 0s 2ms/step - loss: 5.9645

Testing for epoch 50 index 19:
391/391 [==============================] - 0s 965us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5659
16/16 [==============================] - 0s 2ms/step - loss: 5.9701
16/16 [==============================] - 0s 2ms/step - loss: 5.9701
16/16 [==============================] - 0s 2ms/step - loss: 5.9701
16/16 [==============================] - 0s 2ms/step - loss: 5.9701
16/16 [==============================] - 0s 2ms/step - loss: 5.9701
16/16 [==============================] - 0s 3ms/step - loss: 5.9701
16/16 [==============================] - 0s 2ms/step - loss: 5.9701
16/16 [==============================] - 0s 2ms/step - loss: 5.9701
16/16 [==============================] - 0s 2ms/step - loss: 5.9701

Testing for epoch 50 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5720
16/16 [==============================] - 0s 2ms/step - loss: 5.9758
16/16 [==============================] - 0s 2ms/step - loss: 5.9758
16/16 [==============================] - 0s 2ms/step - loss: 5.9758
16/16 [==============================] - 0s 2ms/step - loss: 5.9758
16/16 [==============================] - 0s 3ms/step - loss: 5.9758
16/16 [==============================] - 0s 2ms/step - loss: 5.9758
16/16 [==============================] - 0s 2ms/step - loss: 5.9758
16/16 [==============================] - 0s 2ms/step - loss: 5.9758
16/16 [==============================] - 0s 2ms/step - loss: 5.9758

Testing for epoch 50 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5745
16/16 [==============================] - 0s 2ms/step - loss: 5.9818
16/16 [==============================] - 0s 3ms/step - loss: 5.9818
16/16 [==============================] - 0s 2ms/step - loss: 5.9818
16/16 [==============================] - 0s 1ms/step - loss: 5.9818
16/16 [==============================] - 0s 3ms/step - loss: 5.9818
16/16 [==============================] - 0s 2ms/step - loss: 5.9818
16/16 [==============================] - 0s 3ms/step - loss: 5.9818
16/16 [==============================] - 0s 2ms/step - loss: 5.9818
16/16 [==============================] - 0s 2ms/step - loss: 5.9818

Testing for epoch 50 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5804
16/16 [==============================] - 0s 2ms/step - loss: 5.9840
16/16 [==============================] - 0s 2ms/step - loss: 5.9840
16/16 [==============================] - 0s 1ms/step - loss: 5.9840
16/16 [==============================] - 0s 2ms/step - loss: 5.9840
16/16 [==============================] - 0s 2ms/step - loss: 5.9840
16/16 [==============================] - 0s 2ms/step - loss: 5.9840
16/16 [==============================] - 0s 2ms/step - loss: 5.9840
16/16 [==============================] - 0s 2ms/step - loss: 5.9840
16/16 [==============================] - 0s 2ms/step - loss: 5.9840

Testing for epoch 50 index 23:
391/391 [==============================] - 0s 995us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5763
16/16 [==============================] - 0s 2ms/step - loss: 5.9844
16/16 [==============================] - 0s 2ms/step - loss: 5.9844
16/16 [==============================] - 0s 3ms/step - loss: 5.9844
16/16 [==============================] - 0s 2ms/step - loss: 5.9844
16/16 [==============================] - 0s 2ms/step - loss: 5.9844
16/16 [==============================] - 0s 2ms/step - loss: 5.9844
16/16 [==============================] - 0s 2ms/step - loss: 5.9844
16/16 [==============================] - 0s 4ms/step - loss: 5.9844
16/16 [==============================] - 0s 1ms/step - loss: 5.9844

Testing for epoch 50 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5812
16/16 [==============================] - 0s 1ms/step - loss: 5.9895
16/16 [==============================] - 0s 2ms/step - loss: 5.9895
16/16 [==============================] - 0s 1ms/step - loss: 5.9895
16/16 [==============================] - 0s 1ms/step - loss: 5.9895
16/16 [==============================] - 0s 1ms/step - loss: 5.9895
16/16 [==============================] - 0s 2ms/step - loss: 5.9895
16/16 [==============================] - 0s 1ms/step - loss: 5.9895
16/16 [==============================] - 0s 2ms/step - loss: 5.9895
16/16 [==============================] - 0s 2ms/step - loss: 5.9895
Epoch 51 of 60

Testing for epoch 51 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5830
16/16 [==============================] - 0s 3ms/step - loss: 5.9975
16/16 [==============================] - 0s 3ms/step - loss: 5.9975
16/16 [==============================] - 0s 2ms/step - loss: 5.9975
16/16 [==============================] - 0s 2ms/step - loss: 5.9975
16/16 [==============================] - 0s 2ms/step - loss: 5.9975
16/16 [==============================] - 0s 2ms/step - loss: 5.9975
16/16 [==============================] - 0s 2ms/step - loss: 5.9975
16/16 [==============================] - 0s 2ms/step - loss: 5.9975
16/16 [==============================] - 0s 2ms/step - loss: 5.9975

Testing for epoch 51 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5377
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 3ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373
16/16 [==============================] - 0s 2ms/step - loss: 5.9373

Testing for epoch 51 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5768
16/16 [==============================] - 0s 2ms/step - loss: 5.9956
16/16 [==============================] - 0s 2ms/step - loss: 5.9956
16/16 [==============================] - 0s 2ms/step - loss: 5.9956
16/16 [==============================] - 0s 2ms/step - loss: 5.9956
16/16 [==============================] - 0s 2ms/step - loss: 5.9956
16/16 [==============================] - 0s 3ms/step - loss: 5.9956
16/16 [==============================] - 0s 2ms/step - loss: 5.9956
16/16 [==============================] - 0s 2ms/step - loss: 5.9956
16/16 [==============================] - 0s 2ms/step - loss: 5.9956

Testing for epoch 51 index 4:
391/391 [==============================] - 0s 913us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5626
16/16 [==============================] - 0s 2ms/step - loss: 5.9839
16/16 [==============================] - 0s 2ms/step - loss: 5.9839
16/16 [==============================] - 0s 2ms/step - loss: 5.9839
16/16 [==============================] - 0s 3ms/step - loss: 5.9839
16/16 [==============================] - 0s 2ms/step - loss: 5.9839
16/16 [==============================] - 0s 2ms/step - loss: 5.9839
16/16 [==============================] - 0s 1ms/step - loss: 5.9839
16/16 [==============================] - 0s 2ms/step - loss: 5.9839
16/16 [==============================] - 0s 1ms/step - loss: 5.9839

Testing for epoch 51 index 5:
391/391 [==============================] - 0s 972us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5433
16/16 [==============================] - 0s 2ms/step - loss: 5.9579
16/16 [==============================] - 0s 2ms/step - loss: 5.9579
16/16 [==============================] - 0s 2ms/step - loss: 5.9579
16/16 [==============================] - 0s 1ms/step - loss: 5.9579
16/16 [==============================] - 0s 2ms/step - loss: 5.9579
16/16 [==============================] - 0s 1ms/step - loss: 5.9579
16/16 [==============================] - 0s 1ms/step - loss: 5.9579
16/16 [==============================] - 0s 1ms/step - loss: 5.9579
16/16 [==============================] - 0s 1ms/step - loss: 5.9579

Testing for epoch 51 index 6:
391/391 [==============================] - 0s 910us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5526
16/16 [==============================] - 0s 1ms/step - loss: 5.9700
16/16 [==============================] - 0s 2ms/step - loss: 5.9700
16/16 [==============================] - 0s 2ms/step - loss: 5.9700
16/16 [==============================] - 0s 2ms/step - loss: 5.9700
16/16 [==============================] - 0s 2ms/step - loss: 5.9700
16/16 [==============================] - 0s 2ms/step - loss: 5.9700
16/16 [==============================] - 0s 2ms/step - loss: 5.9700
16/16 [==============================] - 0s 2ms/step - loss: 5.9700
16/16 [==============================] - 0s 3ms/step - loss: 5.9700

Testing for epoch 51 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5755
16/16 [==============================] - 0s 2ms/step - loss: 6.0096
16/16 [==============================] - 0s 2ms/step - loss: 6.0096
16/16 [==============================] - 0s 2ms/step - loss: 6.0096
16/16 [==============================] - 0s 2ms/step - loss: 6.0096
16/16 [==============================] - 0s 2ms/step - loss: 6.0096
16/16 [==============================] - 0s 1ms/step - loss: 6.0096
16/16 [==============================] - 0s 2ms/step - loss: 6.0096
16/16 [==============================] - 0s 2ms/step - loss: 6.0096
16/16 [==============================] - 0s 2ms/step - loss: 6.0096

Testing for epoch 51 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5690
16/16 [==============================] - 0s 1ms/step - loss: 6.0049
16/16 [==============================] - 0s 2ms/step - loss: 6.0049
16/16 [==============================] - 0s 2ms/step - loss: 6.0049
16/16 [==============================] - 0s 2ms/step - loss: 6.0049
16/16 [==============================] - 0s 2ms/step - loss: 6.0049
16/16 [==============================] - 0s 2ms/step - loss: 6.0049
16/16 [==============================] - 0s 4ms/step - loss: 6.0049
16/16 [==============================] - 0s 2ms/step - loss: 6.0049
16/16 [==============================] - 0s 2ms/step - loss: 6.0049

Testing for epoch 51 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5477
16/16 [==============================] - 0s 2ms/step - loss: 5.9736
16/16 [==============================] - 0s 2ms/step - loss: 5.9736
16/16 [==============================] - 0s 2ms/step - loss: 5.9736
16/16 [==============================] - 0s 2ms/step - loss: 5.9736
16/16 [==============================] - 0s 6ms/step - loss: 5.9736
16/16 [==============================] - 0s 2ms/step - loss: 5.9736
16/16 [==============================] - 0s 1ms/step - loss: 5.9736
16/16 [==============================] - 0s 1ms/step - loss: 5.9736
16/16 [==============================] - 0s 1ms/step - loss: 5.9736

Testing for epoch 51 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.5644
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 1ms/step - loss: 5.9829
16/16 [==============================] - 0s 5ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 1ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829

Testing for epoch 51 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5689
16/16 [==============================] - 0s 2ms/step - loss: 5.9832
16/16 [==============================] - 0s 2ms/step - loss: 5.9832
16/16 [==============================] - 0s 2ms/step - loss: 5.9832
16/16 [==============================] - 0s 2ms/step - loss: 5.9832
16/16 [==============================] - 0s 2ms/step - loss: 5.9832
16/16 [==============================] - 0s 3ms/step - loss: 5.9832
16/16 [==============================] - 0s 1ms/step - loss: 5.9832
16/16 [==============================] - 0s 2ms/step - loss: 5.9832
16/16 [==============================] - 0s 2ms/step - loss: 5.9832

Testing for epoch 51 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.5678
16/16 [==============================] - 0s 2ms/step - loss: 5.9778
16/16 [==============================] - 0s 2ms/step - loss: 5.9778
16/16 [==============================] - 0s 1ms/step - loss: 5.9778
16/16 [==============================] - 0s 2ms/step - loss: 5.9778
16/16 [==============================] - 0s 2ms/step - loss: 5.9778
16/16 [==============================] - 0s 2ms/step - loss: 5.9778
16/16 [==============================] - 0s 2ms/step - loss: 5.9778
16/16 [==============================] - 0s 2ms/step - loss: 5.9778
16/16 [==============================] - 0s 1ms/step - loss: 5.9778

Testing for epoch 51 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5912
16/16 [==============================] - 0s 2ms/step - loss: 6.0039
16/16 [==============================] - 0s 2ms/step - loss: 6.0039
16/16 [==============================] - 0s 2ms/step - loss: 6.0039
16/16 [==============================] - 0s 2ms/step - loss: 6.0039
16/16 [==============================] - 0s 1ms/step - loss: 6.0039
16/16 [==============================] - 0s 2ms/step - loss: 6.0039
16/16 [==============================] - 0s 2ms/step - loss: 6.0039
16/16 [==============================] - 0s 2ms/step - loss: 6.0039
16/16 [==============================] - 0s 2ms/step - loss: 6.0039

Testing for epoch 51 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5918
16/16 [==============================] - 0s 2ms/step - loss: 6.0024
16/16 [==============================] - 0s 2ms/step - loss: 6.0024
16/16 [==============================] - 0s 2ms/step - loss: 6.0024
16/16 [==============================] - 0s 2ms/step - loss: 6.0024
16/16 [==============================] - 0s 2ms/step - loss: 6.0024
16/16 [==============================] - 0s 2ms/step - loss: 6.0024
16/16 [==============================] - 0s 2ms/step - loss: 6.0024
16/16 [==============================] - 0s 3ms/step - loss: 6.0024
16/16 [==============================] - 0s 1ms/step - loss: 6.0024

Testing for epoch 51 index 15:
391/391 [==============================] - 0s 857us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5931
16/16 [==============================] - 0s 2ms/step - loss: 5.9955
16/16 [==============================] - 0s 2ms/step - loss: 5.9955
16/16 [==============================] - 0s 2ms/step - loss: 5.9955
16/16 [==============================] - 0s 1ms/step - loss: 5.9955
16/16 [==============================] - 0s 1ms/step - loss: 5.9955
16/16 [==============================] - 0s 2ms/step - loss: 5.9955
16/16 [==============================] - 0s 2ms/step - loss: 5.9955
16/16 [==============================] - 0s 2ms/step - loss: 5.9955
16/16 [==============================] - 0s 2ms/step - loss: 5.9955

Testing for epoch 51 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.5941
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 1ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 2ms/step - loss: 5.9829
16/16 [==============================] - 0s 1ms/step - loss: 5.9829
16/16 [==============================] - 0s 1ms/step - loss: 5.9829

Testing for epoch 51 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5761
16/16 [==============================] - 0s 2ms/step - loss: 5.9661
16/16 [==============================] - 0s 2ms/step - loss: 5.9661
16/16 [==============================] - 0s 1ms/step - loss: 5.9661
16/16 [==============================] - 0s 2ms/step - loss: 5.9661
16/16 [==============================] - 0s 823us/step - loss: 5.9661
16/16 [==============================] - 0s 1ms/step - loss: 5.9661
16/16 [==============================] - 0s 847us/step - loss: 5.9661
16/16 [==============================] - 0s 777us/step - loss: 5.9661
16/16 [==============================] - 0s 3ms/step - loss: 5.9661

Testing for epoch 51 index 18:
391/391 [==============================] - 0s 945us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5851
16/16 [==============================] - 0s 2ms/step - loss: 5.9825
16/16 [==============================] - 0s 2ms/step - loss: 5.9825
16/16 [==============================] - 0s 2ms/step - loss: 5.9825
16/16 [==============================] - 0s 2ms/step - loss: 5.9825
16/16 [==============================] - 0s 681us/step - loss: 5.9825
16/16 [==============================] - 0s 849us/step - loss: 5.9825
16/16 [==============================] - 0s 2ms/step - loss: 5.9825
16/16 [==============================] - 0s 2ms/step - loss: 5.9825
16/16 [==============================] - 0s 956us/step - loss: 5.9825

Testing for epoch 51 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 876us/step - loss: 5.6045
16/16 [==============================] - 0s 903us/step - loss: 5.9996
16/16 [==============================] - 0s 982us/step - loss: 5.9996
16/16 [==============================] - 0s 1ms/step - loss: 5.9996
16/16 [==============================] - 0s 976us/step - loss: 5.9996
16/16 [==============================] - 0s 1ms/step - loss: 5.9996
16/16 [==============================] - 0s 6ms/step - loss: 5.9996
16/16 [==============================] - 0s 2ms/step - loss: 5.9996
16/16 [==============================] - 0s 5ms/step - loss: 5.9996
16/16 [==============================] - 0s 4ms/step - loss: 5.9996

Testing for epoch 51 index 20:
391/391 [==============================] - 0s 684us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5955
16/16 [==============================] - 0s 5ms/step - loss: 5.9887
16/16 [==============================] - 0s 3ms/step - loss: 5.9887
16/16 [==============================] - 0s 4ms/step - loss: 5.9887
16/16 [==============================] - 0s 1ms/step - loss: 5.9887
16/16 [==============================] - 0s 2ms/step - loss: 5.9887
16/16 [==============================] - 0s 2ms/step - loss: 5.9887
16/16 [==============================] - 0s 2ms/step - loss: 5.9887
16/16 [==============================] - 0s 3ms/step - loss: 5.9887
16/16 [==============================] - 0s 2ms/step - loss: 5.9887

Testing for epoch 51 index 21:
391/391 [==============================] - 0s 687us/step
16/16 [==============================] - 0s 912us/step - loss: 5.5972
16/16 [==============================] - 0s 880us/step - loss: 5.9953
16/16 [==============================] - 0s 902us/step - loss: 5.9953
16/16 [==============================] - 0s 878us/step - loss: 5.9953
16/16 [==============================] - 0s 879us/step - loss: 5.9953
16/16 [==============================] - 0s 883us/step - loss: 5.9953
16/16 [==============================] - 0s 910us/step - loss: 5.9953
16/16 [==============================] - 0s 880us/step - loss: 5.9953
16/16 [==============================] - 0s 919us/step - loss: 5.9953
16/16 [==============================] - 0s 883us/step - loss: 5.9953

Testing for epoch 51 index 22:
391/391 [==============================] - 0s 631us/step
16/16 [==============================] - 0s 856us/step - loss: 5.5988
16/16 [==============================] - 0s 3ms/step - loss: 5.9980
16/16 [==============================] - 0s 8ms/step - loss: 5.9980
16/16 [==============================] - 0s 5ms/step - loss: 5.9980
16/16 [==============================] - 0s 1ms/step - loss: 5.9980
16/16 [==============================] - 0s 2ms/step - loss: 5.9980
16/16 [==============================] - 0s 5ms/step - loss: 5.9980
16/16 [==============================] - 0s 5ms/step - loss: 5.9980
16/16 [==============================] - 0s 2ms/step - loss: 5.9980
16/16 [==============================] - 0s 3ms/step - loss: 5.9980

Testing for epoch 51 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 888us/step - loss: 5.5937
16/16 [==============================] - 0s 2ms/step - loss: 5.9901
16/16 [==============================] - 0s 5ms/step - loss: 5.9901
16/16 [==============================] - 0s 7ms/step - loss: 5.9901
16/16 [==============================] - 0s 5ms/step - loss: 5.9901
16/16 [==============================] - 0s 4ms/step - loss: 5.9901
16/16 [==============================] - 0s 4ms/step - loss: 5.9901
16/16 [==============================] - 0s 3ms/step - loss: 5.9901
16/16 [==============================] - 0s 1ms/step - loss: 5.9901
16/16 [==============================] - 0s 2ms/step - loss: 5.9901

Testing for epoch 51 index 24:
391/391 [==============================] - 0s 635us/step
16/16 [==============================] - 0s 915us/step - loss: 5.6003
16/16 [==============================] - 0s 992us/step - loss: 6.0021
16/16 [==============================] - 0s 897us/step - loss: 6.0021
16/16 [==============================] - 0s 1ms/step - loss: 6.0021
16/16 [==============================] - 0s 1ms/step - loss: 6.0021
16/16 [==============================] - 0s 2ms/step - loss: 6.0021
16/16 [==============================] - 0s 2ms/step - loss: 6.0021
16/16 [==============================] - 0s 2ms/step - loss: 6.0021
16/16 [==============================] - 0s 3ms/step - loss: 6.0021
16/16 [==============================] - 0s 1ms/step - loss: 6.0021
Epoch 52 of 60

Testing for epoch 52 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5981
16/16 [==============================] - 0s 3ms/step - loss: 6.0018
16/16 [==============================] - 0s 2ms/step - loss: 6.0018
16/16 [==============================] - 0s 3ms/step - loss: 6.0018
16/16 [==============================] - 0s 3ms/step - loss: 6.0018
16/16 [==============================] - 0s 2ms/step - loss: 6.0018
16/16 [==============================] - 0s 2ms/step - loss: 6.0018
16/16 [==============================] - 0s 1ms/step - loss: 6.0018
16/16 [==============================] - 0s 1ms/step - loss: 6.0018
16/16 [==============================] - 0s 2ms/step - loss: 6.0018

Testing for epoch 52 index 2:
391/391 [==============================] - 0s 849us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.5872
16/16 [==============================] - 0s 3ms/step - loss: 5.9864
16/16 [==============================] - 0s 2ms/step - loss: 5.9864
16/16 [==============================] - 0s 1ms/step - loss: 5.9864
16/16 [==============================] - 0s 2ms/step - loss: 5.9864
16/16 [==============================] - 0s 2ms/step - loss: 5.9864
16/16 [==============================] - 0s 2ms/step - loss: 5.9864
16/16 [==============================] - 0s 3ms/step - loss: 5.9864
16/16 [==============================] - 0s 2ms/step - loss: 5.9864
16/16 [==============================] - 0s 1ms/step - loss: 5.9864

Testing for epoch 52 index 3:
391/391 [==============================] - 0s 979us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6019
16/16 [==============================] - 0s 1ms/step - loss: 6.0136
16/16 [==============================] - 0s 2ms/step - loss: 6.0136
16/16 [==============================] - 0s 2ms/step - loss: 6.0136
16/16 [==============================] - 0s 3ms/step - loss: 6.0136
16/16 [==============================] - 0s 2ms/step - loss: 6.0136
16/16 [==============================] - 0s 1ms/step - loss: 6.0136
16/16 [==============================] - 0s 1ms/step - loss: 6.0136
16/16 [==============================] - 0s 3ms/step - loss: 6.0136
16/16 [==============================] - 0s 1ms/step - loss: 6.0136

Testing for epoch 52 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.5901
16/16 [==============================] - 0s 2ms/step - loss: 6.0016
16/16 [==============================] - 0s 2ms/step - loss: 6.0016
16/16 [==============================] - 0s 2ms/step - loss: 6.0016
16/16 [==============================] - 0s 2ms/step - loss: 6.0016
16/16 [==============================] - 0s 2ms/step - loss: 6.0016
16/16 [==============================] - 0s 1ms/step - loss: 6.0016
16/16 [==============================] - 0s 2ms/step - loss: 6.0016
16/16 [==============================] - 0s 2ms/step - loss: 6.0016
16/16 [==============================] - 0s 2ms/step - loss: 6.0016

Testing for epoch 52 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6002
16/16 [==============================] - 0s 2ms/step - loss: 6.0206
16/16 [==============================] - 0s 3ms/step - loss: 6.0206
16/16 [==============================] - 0s 3ms/step - loss: 6.0206
16/16 [==============================] - 0s 2ms/step - loss: 6.0206
16/16 [==============================] - 0s 2ms/step - loss: 6.0206
16/16 [==============================] - 0s 3ms/step - loss: 6.0206
16/16 [==============================] - 0s 2ms/step - loss: 6.0206
16/16 [==============================] - 0s 1ms/step - loss: 6.0206
16/16 [==============================] - 0s 2ms/step - loss: 6.0206

Testing for epoch 52 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6043
16/16 [==============================] - 0s 2ms/step - loss: 6.0296
16/16 [==============================] - 0s 2ms/step - loss: 6.0296
16/16 [==============================] - 0s 1ms/step - loss: 6.0296
16/16 [==============================] - 0s 2ms/step - loss: 6.0296
16/16 [==============================] - 0s 2ms/step - loss: 6.0296
16/16 [==============================] - 0s 3ms/step - loss: 6.0296
16/16 [==============================] - 0s 2ms/step - loss: 6.0296
16/16 [==============================] - 0s 1ms/step - loss: 6.0296
16/16 [==============================] - 0s 2ms/step - loss: 6.0296

Testing for epoch 52 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6020
16/16 [==============================] - 0s 3ms/step - loss: 6.0301
16/16 [==============================] - 0s 3ms/step - loss: 6.0301
16/16 [==============================] - 0s 2ms/step - loss: 6.0301
16/16 [==============================] - 0s 2ms/step - loss: 6.0301
16/16 [==============================] - 0s 1ms/step - loss: 6.0301
16/16 [==============================] - 0s 1ms/step - loss: 6.0301
16/16 [==============================] - 0s 2ms/step - loss: 6.0301
16/16 [==============================] - 0s 3ms/step - loss: 6.0301
16/16 [==============================] - 0s 2ms/step - loss: 6.0301

Testing for epoch 52 index 8:
391/391 [==============================] - 0s 926us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6055
16/16 [==============================] - 0s 2ms/step - loss: 6.0316
16/16 [==============================] - 0s 2ms/step - loss: 6.0316
16/16 [==============================] - 0s 2ms/step - loss: 6.0316
16/16 [==============================] - 0s 1ms/step - loss: 6.0316
16/16 [==============================] - 0s 3ms/step - loss: 6.0316
16/16 [==============================] - 0s 2ms/step - loss: 6.0316
16/16 [==============================] - 0s 2ms/step - loss: 6.0316
16/16 [==============================] - 0s 1ms/step - loss: 6.0316
16/16 [==============================] - 0s 2ms/step - loss: 6.0316

Testing for epoch 52 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5795
16/16 [==============================] - 0s 3ms/step - loss: 6.0002
16/16 [==============================] - 0s 3ms/step - loss: 6.0002
16/16 [==============================] - 0s 4ms/step - loss: 6.0002
16/16 [==============================] - 0s 4ms/step - loss: 6.0002
16/16 [==============================] - 0s 3ms/step - loss: 6.0002
16/16 [==============================] - 0s 2ms/step - loss: 6.0002
16/16 [==============================] - 0s 1ms/step - loss: 6.0002
16/16 [==============================] - 0s 2ms/step - loss: 6.0002
16/16 [==============================] - 0s 2ms/step - loss: 6.0002

Testing for epoch 52 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.5851
16/16 [==============================] - 0s 2ms/step - loss: 5.9969
16/16 [==============================] - 0s 2ms/step - loss: 5.9969
16/16 [==============================] - 0s 2ms/step - loss: 5.9969
16/16 [==============================] - 0s 3ms/step - loss: 5.9969
16/16 [==============================] - 0s 3ms/step - loss: 5.9969
16/16 [==============================] - 0s 3ms/step - loss: 5.9969
16/16 [==============================] - 0s 2ms/step - loss: 5.9969
16/16 [==============================] - 0s 3ms/step - loss: 5.9969
16/16 [==============================] - 0s 3ms/step - loss: 5.9969

Testing for epoch 52 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6058
16/16 [==============================] - 0s 2ms/step - loss: 6.0170
16/16 [==============================] - 0s 1ms/step - loss: 6.0170
16/16 [==============================] - 0s 1ms/step - loss: 6.0170
16/16 [==============================] - 0s 1ms/step - loss: 6.0170
16/16 [==============================] - 0s 3ms/step - loss: 6.0170
16/16 [==============================] - 0s 1ms/step - loss: 6.0170
16/16 [==============================] - 0s 3ms/step - loss: 6.0170
16/16 [==============================] - 0s 2ms/step - loss: 6.0170
16/16 [==============================] - 0s 3ms/step - loss: 6.0170

Testing for epoch 52 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6091
16/16 [==============================] - 0s 3ms/step - loss: 6.0131
16/16 [==============================] - 0s 2ms/step - loss: 6.0131
16/16 [==============================] - 0s 2ms/step - loss: 6.0131
16/16 [==============================] - 0s 2ms/step - loss: 6.0131
16/16 [==============================] - 0s 2ms/step - loss: 6.0131
16/16 [==============================] - 0s 2ms/step - loss: 6.0131
16/16 [==============================] - 0s 4ms/step - loss: 6.0131
16/16 [==============================] - 0s 2ms/step - loss: 6.0131
16/16 [==============================] - 0s 2ms/step - loss: 6.0131

Testing for epoch 52 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6251
16/16 [==============================] - 0s 1ms/step - loss: 6.0306
16/16 [==============================] - 0s 2ms/step - loss: 6.0306
16/16 [==============================] - 0s 2ms/step - loss: 6.0306
16/16 [==============================] - 0s 2ms/step - loss: 6.0306
16/16 [==============================] - 0s 2ms/step - loss: 6.0306
16/16 [==============================] - 0s 2ms/step - loss: 6.0306
16/16 [==============================] - 0s 2ms/step - loss: 6.0306
16/16 [==============================] - 0s 2ms/step - loss: 6.0306
16/16 [==============================] - 0s 3ms/step - loss: 6.0306

Testing for epoch 52 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6312
16/16 [==============================] - 0s 2ms/step - loss: 6.0333
16/16 [==============================] - 0s 3ms/step - loss: 6.0333
16/16 [==============================] - 0s 2ms/step - loss: 6.0333
16/16 [==============================] - 0s 2ms/step - loss: 6.0333
16/16 [==============================] - 0s 2ms/step - loss: 6.0333
16/16 [==============================] - 0s 5ms/step - loss: 6.0333
16/16 [==============================] - 0s 2ms/step - loss: 6.0333
16/16 [==============================] - 0s 2ms/step - loss: 6.0333
16/16 [==============================] - 0s 1ms/step - loss: 6.0333

Testing for epoch 52 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6111
16/16 [==============================] - 0s 3ms/step - loss: 6.0074
16/16 [==============================] - 0s 2ms/step - loss: 6.0074
16/16 [==============================] - 0s 2ms/step - loss: 6.0074
16/16 [==============================] - 0s 1ms/step - loss: 6.0074
16/16 [==============================] - 0s 2ms/step - loss: 6.0074
16/16 [==============================] - 0s 2ms/step - loss: 6.0074
16/16 [==============================] - 0s 1ms/step - loss: 6.0074
16/16 [==============================] - 0s 2ms/step - loss: 6.0074
16/16 [==============================] - 0s 2ms/step - loss: 6.0074

Testing for epoch 52 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6317
16/16 [==============================] - 0s 4ms/step - loss: 6.0288
16/16 [==============================] - 0s 2ms/step - loss: 6.0288
16/16 [==============================] - 0s 1ms/step - loss: 6.0288
16/16 [==============================] - 0s 3ms/step - loss: 6.0288
16/16 [==============================] - 0s 4ms/step - loss: 6.0288
16/16 [==============================] - 0s 2ms/step - loss: 6.0288
16/16 [==============================] - 0s 2ms/step - loss: 6.0288
16/16 [==============================] - 0s 4ms/step - loss: 6.0288
16/16 [==============================] - 0s 3ms/step - loss: 6.0288

Testing for epoch 52 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6166
16/16 [==============================] - 0s 1ms/step - loss: 6.0067
16/16 [==============================] - 0s 2ms/step - loss: 6.0067
16/16 [==============================] - 0s 2ms/step - loss: 6.0067
16/16 [==============================] - 0s 4ms/step - loss: 6.0067
16/16 [==============================] - 0s 2ms/step - loss: 6.0067
16/16 [==============================] - 0s 2ms/step - loss: 6.0067
16/16 [==============================] - 0s 2ms/step - loss: 6.0067
16/16 [==============================] - 0s 2ms/step - loss: 6.0067
16/16 [==============================] - 0s 2ms/step - loss: 6.0067

Testing for epoch 52 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6379
16/16 [==============================] - 0s 3ms/step - loss: 6.0328
16/16 [==============================] - 0s 3ms/step - loss: 6.0328
16/16 [==============================] - 0s 2ms/step - loss: 6.0328
16/16 [==============================] - 0s 1ms/step - loss: 6.0328
16/16 [==============================] - 0s 2ms/step - loss: 6.0328
16/16 [==============================] - 0s 2ms/step - loss: 6.0328
16/16 [==============================] - 0s 2ms/step - loss: 6.0328
16/16 [==============================] - 0s 3ms/step - loss: 6.0328
16/16 [==============================] - 0s 2ms/step - loss: 6.0328

Testing for epoch 52 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6387
16/16 [==============================] - 0s 2ms/step - loss: 6.0348
16/16 [==============================] - 0s 3ms/step - loss: 6.0348
16/16 [==============================] - 0s 2ms/step - loss: 6.0348
16/16 [==============================] - 0s 2ms/step - loss: 6.0348
16/16 [==============================] - 0s 3ms/step - loss: 6.0348
16/16 [==============================] - 0s 2ms/step - loss: 6.0348
16/16 [==============================] - 0s 4ms/step - loss: 6.0348
16/16 [==============================] - 0s 2ms/step - loss: 6.0348
16/16 [==============================] - 0s 2ms/step - loss: 6.0348

Testing for epoch 52 index 20:
391/391 [==============================] - 0s 830us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6443
16/16 [==============================] - 0s 2ms/step - loss: 6.0450
16/16 [==============================] - 0s 3ms/step - loss: 6.0450
16/16 [==============================] - 0s 3ms/step - loss: 6.0450
16/16 [==============================] - 0s 3ms/step - loss: 6.0450
16/16 [==============================] - 0s 1ms/step - loss: 6.0450
16/16 [==============================] - 0s 1ms/step - loss: 6.0450
16/16 [==============================] - 0s 2ms/step - loss: 6.0450
16/16 [==============================] - 0s 3ms/step - loss: 6.0450
16/16 [==============================] - 0s 3ms/step - loss: 6.0450

Testing for epoch 52 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6452
16/16 [==============================] - 0s 2ms/step - loss: 6.0438
16/16 [==============================] - 0s 1ms/step - loss: 6.0438
16/16 [==============================] - 0s 2ms/step - loss: 6.0438
16/16 [==============================] - 0s 2ms/step - loss: 6.0438
16/16 [==============================] - 0s 4ms/step - loss: 6.0438
16/16 [==============================] - 0s 2ms/step - loss: 6.0438
16/16 [==============================] - 0s 3ms/step - loss: 6.0438
16/16 [==============================] - 0s 1ms/step - loss: 6.0438
16/16 [==============================] - 0s 2ms/step - loss: 6.0438

Testing for epoch 52 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6403
16/16 [==============================] - 0s 2ms/step - loss: 6.0373
16/16 [==============================] - 0s 1ms/step - loss: 6.0373
16/16 [==============================] - 0s 2ms/step - loss: 6.0373
16/16 [==============================] - 0s 4ms/step - loss: 6.0373
16/16 [==============================] - 0s 2ms/step - loss: 6.0373
16/16 [==============================] - 0s 2ms/step - loss: 6.0373
16/16 [==============================] - 0s 2ms/step - loss: 6.0373
16/16 [==============================] - 0s 4ms/step - loss: 6.0373
16/16 [==============================] - 0s 2ms/step - loss: 6.0373

Testing for epoch 52 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6228
16/16 [==============================] - 0s 1ms/step - loss: 6.0186
16/16 [==============================] - 0s 3ms/step - loss: 6.0186
16/16 [==============================] - 0s 2ms/step - loss: 6.0186
16/16 [==============================] - 0s 3ms/step - loss: 6.0186
16/16 [==============================] - 0s 2ms/step - loss: 6.0186
16/16 [==============================] - 0s 2ms/step - loss: 6.0186
16/16 [==============================] - 0s 1ms/step - loss: 6.0186
16/16 [==============================] - 0s 2ms/step - loss: 6.0186
16/16 [==============================] - 0s 3ms/step - loss: 6.0186

Testing for epoch 52 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6341
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
16/16 [==============================] - 0s 4ms/step - loss: 6.0295
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
16/16 [==============================] - 0s 2ms/step - loss: 6.0295
Epoch 53 of 60

Testing for epoch 53 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6327
16/16 [==============================] - 0s 6ms/step - loss: 6.0347
16/16 [==============================] - 0s 3ms/step - loss: 6.0347
16/16 [==============================] - 0s 3ms/step - loss: 6.0347
16/16 [==============================] - 0s 2ms/step - loss: 6.0347
16/16 [==============================] - 0s 2ms/step - loss: 6.0347
16/16 [==============================] - 0s 2ms/step - loss: 6.0347
16/16 [==============================] - 0s 1ms/step - loss: 6.0347
16/16 [==============================] - 0s 2ms/step - loss: 6.0347
16/16 [==============================] - 0s 2ms/step - loss: 6.0347

Testing for epoch 53 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6175
16/16 [==============================] - 0s 3ms/step - loss: 6.0218
16/16 [==============================] - 0s 4ms/step - loss: 6.0218
16/16 [==============================] - 0s 2ms/step - loss: 6.0218
16/16 [==============================] - 0s 4ms/step - loss: 6.0218
16/16 [==============================] - 0s 2ms/step - loss: 6.0218
16/16 [==============================] - 0s 2ms/step - loss: 6.0218
16/16 [==============================] - 0s 2ms/step - loss: 6.0218
16/16 [==============================] - 0s 1ms/step - loss: 6.0218
16/16 [==============================] - 0s 2ms/step - loss: 6.0218

Testing for epoch 53 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6298
16/16 [==============================] - 0s 1ms/step - loss: 6.0379
16/16 [==============================] - 0s 2ms/step - loss: 6.0379
16/16 [==============================] - 0s 2ms/step - loss: 6.0379
16/16 [==============================] - 0s 2ms/step - loss: 6.0379
16/16 [==============================] - 0s 2ms/step - loss: 6.0379
16/16 [==============================] - 0s 2ms/step - loss: 6.0379
16/16 [==============================] - 0s 2ms/step - loss: 6.0379
16/16 [==============================] - 0s 2ms/step - loss: 6.0379
16/16 [==============================] - 0s 5ms/step - loss: 6.0379

Testing for epoch 53 index 4:
391/391 [==============================] - 0s 955us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6254
16/16 [==============================] - 0s 2ms/step - loss: 6.0311
16/16 [==============================] - 0s 2ms/step - loss: 6.0311
16/16 [==============================] - 0s 4ms/step - loss: 6.0311
16/16 [==============================] - 0s 4ms/step - loss: 6.0311
16/16 [==============================] - 0s 3ms/step - loss: 6.0311
16/16 [==============================] - 0s 2ms/step - loss: 6.0311
16/16 [==============================] - 0s 2ms/step - loss: 6.0311
16/16 [==============================] - 0s 3ms/step - loss: 6.0311
16/16 [==============================] - 0s 3ms/step - loss: 6.0311

Testing for epoch 53 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6300
16/16 [==============================] - 0s 2ms/step - loss: 6.0453
16/16 [==============================] - 0s 4ms/step - loss: 6.0453
16/16 [==============================] - 0s 3ms/step - loss: 6.0453
16/16 [==============================] - 0s 2ms/step - loss: 6.0453
16/16 [==============================] - 0s 3ms/step - loss: 6.0453
16/16 [==============================] - 0s 4ms/step - loss: 6.0453
16/16 [==============================] - 0s 2ms/step - loss: 6.0453
16/16 [==============================] - 0s 3ms/step - loss: 6.0453
16/16 [==============================] - 0s 1ms/step - loss: 6.0453

Testing for epoch 53 index 6:
391/391 [==============================] - 0s 949us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6123
16/16 [==============================] - 0s 1ms/step - loss: 6.0230
16/16 [==============================] - 0s 2ms/step - loss: 6.0230
16/16 [==============================] - 0s 1ms/step - loss: 6.0230
16/16 [==============================] - 0s 1ms/step - loss: 6.0230
16/16 [==============================] - 0s 2ms/step - loss: 6.0230
16/16 [==============================] - 0s 2ms/step - loss: 6.0230
16/16 [==============================] - 0s 3ms/step - loss: 6.0230
16/16 [==============================] - 0s 2ms/step - loss: 6.0230
16/16 [==============================] - 0s 2ms/step - loss: 6.0230

Testing for epoch 53 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6246
16/16 [==============================] - 0s 2ms/step - loss: 6.0447
16/16 [==============================] - 0s 2ms/step - loss: 6.0447
16/16 [==============================] - 0s 2ms/step - loss: 6.0447
16/16 [==============================] - 0s 3ms/step - loss: 6.0447
16/16 [==============================] - 0s 2ms/step - loss: 6.0447
16/16 [==============================] - 0s 2ms/step - loss: 6.0447
16/16 [==============================] - 0s 3ms/step - loss: 6.0447
16/16 [==============================] - 0s 2ms/step - loss: 6.0447
16/16 [==============================] - 0s 2ms/step - loss: 6.0447

Testing for epoch 53 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6337
16/16 [==============================] - 0s 2ms/step - loss: 6.0636
16/16 [==============================] - 0s 3ms/step - loss: 6.0636
16/16 [==============================] - 0s 2ms/step - loss: 6.0636
16/16 [==============================] - 0s 2ms/step - loss: 6.0636
16/16 [==============================] - 0s 2ms/step - loss: 6.0636
16/16 [==============================] - 0s 2ms/step - loss: 6.0636
16/16 [==============================] - 0s 3ms/step - loss: 6.0636
16/16 [==============================] - 0s 2ms/step - loss: 6.0636
16/16 [==============================] - 0s 2ms/step - loss: 6.0636

Testing for epoch 53 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6113
16/16 [==============================] - 0s 2ms/step - loss: 6.0239
16/16 [==============================] - 0s 2ms/step - loss: 6.0239
16/16 [==============================] - 0s 2ms/step - loss: 6.0239
16/16 [==============================] - 0s 3ms/step - loss: 6.0239
16/16 [==============================] - 0s 1ms/step - loss: 6.0239
16/16 [==============================] - 0s 2ms/step - loss: 6.0239
16/16 [==============================] - 0s 3ms/step - loss: 6.0239
16/16 [==============================] - 0s 3ms/step - loss: 6.0239
16/16 [==============================] - 0s 2ms/step - loss: 6.0239

Testing for epoch 53 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6007
16/16 [==============================] - 0s 2ms/step - loss: 6.0073
16/16 [==============================] - 0s 3ms/step - loss: 6.0073
16/16 [==============================] - 0s 2ms/step - loss: 6.0073
16/16 [==============================] - 0s 2ms/step - loss: 6.0073
16/16 [==============================] - 0s 2ms/step - loss: 6.0073
16/16 [==============================] - 0s 5ms/step - loss: 6.0073
16/16 [==============================] - 0s 2ms/step - loss: 6.0073
16/16 [==============================] - 0s 2ms/step - loss: 6.0073
16/16 [==============================] - 0s 3ms/step - loss: 6.0073

Testing for epoch 53 index 11:
391/391 [==============================] - 0s 980us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6259
16/16 [==============================] - 0s 4ms/step - loss: 6.0312
16/16 [==============================] - 0s 2ms/step - loss: 6.0312
16/16 [==============================] - 0s 2ms/step - loss: 6.0312
16/16 [==============================] - 0s 2ms/step - loss: 6.0312
16/16 [==============================] - 0s 3ms/step - loss: 6.0312
16/16 [==============================] - 0s 2ms/step - loss: 6.0312
16/16 [==============================] - 0s 2ms/step - loss: 6.0312
16/16 [==============================] - 0s 2ms/step - loss: 6.0312
16/16 [==============================] - 0s 1ms/step - loss: 6.0312

Testing for epoch 53 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6577
16/16 [==============================] - 0s 1ms/step - loss: 6.0704
16/16 [==============================] - 0s 3ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 3ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 3ms/step - loss: 6.0704
16/16 [==============================] - 0s 1ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704

Testing for epoch 53 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6402
16/16 [==============================] - 0s 2ms/step - loss: 6.0358
16/16 [==============================] - 0s 5ms/step - loss: 6.0358
16/16 [==============================] - 0s 2ms/step - loss: 6.0358
16/16 [==============================] - 0s 2ms/step - loss: 6.0358
16/16 [==============================] - 0s 1ms/step - loss: 6.0358
16/16 [==============================] - 0s 2ms/step - loss: 6.0358
16/16 [==============================] - 0s 5ms/step - loss: 6.0358
16/16 [==============================] - 0s 2ms/step - loss: 6.0358
16/16 [==============================] - 0s 2ms/step - loss: 6.0358

Testing for epoch 53 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6488
16/16 [==============================] - 0s 2ms/step - loss: 6.0446
16/16 [==============================] - 0s 3ms/step - loss: 6.0446
16/16 [==============================] - 0s 3ms/step - loss: 6.0446
16/16 [==============================] - 0s 2ms/step - loss: 6.0446
16/16 [==============================] - 0s 2ms/step - loss: 6.0446
16/16 [==============================] - 0s 2ms/step - loss: 6.0446
16/16 [==============================] - 0s 2ms/step - loss: 6.0446
16/16 [==============================] - 0s 3ms/step - loss: 6.0446
16/16 [==============================] - 0s 5ms/step - loss: 6.0446

Testing for epoch 53 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6662
16/16 [==============================] - 0s 5ms/step - loss: 6.0629
16/16 [==============================] - 0s 2ms/step - loss: 6.0629
16/16 [==============================] - 0s 3ms/step - loss: 6.0629
16/16 [==============================] - 0s 7ms/step - loss: 6.0629
16/16 [==============================] - 0s 6ms/step - loss: 6.0629
16/16 [==============================] - 0s 5ms/step - loss: 6.0629
16/16 [==============================] - 0s 1ms/step - loss: 6.0629
16/16 [==============================] - 0s 3ms/step - loss: 6.0629
16/16 [==============================] - 0s 2ms/step - loss: 6.0629

Testing for epoch 53 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 6ms/step - loss: 5.6584
16/16 [==============================] - 0s 3ms/step - loss: 6.0522
16/16 [==============================] - 0s 5ms/step - loss: 6.0522
16/16 [==============================] - 0s 2ms/step - loss: 6.0522
16/16 [==============================] - 0s 6ms/step - loss: 6.0522
16/16 [==============================] - 0s 5ms/step - loss: 6.0522
16/16 [==============================] - 0s 2ms/step - loss: 6.0522
16/16 [==============================] - 0s 5ms/step - loss: 6.0522
16/16 [==============================] - 0s 2ms/step - loss: 6.0522
16/16 [==============================] - 0s 4ms/step - loss: 6.0522

Testing for epoch 53 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6468
16/16 [==============================] - 0s 1ms/step - loss: 6.0400
16/16 [==============================] - 0s 3ms/step - loss: 6.0400
16/16 [==============================] - 0s 2ms/step - loss: 6.0400
16/16 [==============================] - 0s 2ms/step - loss: 6.0400
16/16 [==============================] - 0s 1ms/step - loss: 6.0400
16/16 [==============================] - 0s 2ms/step - loss: 6.0400
16/16 [==============================] - 0s 4ms/step - loss: 6.0400
16/16 [==============================] - 0s 2ms/step - loss: 6.0400
16/16 [==============================] - 0s 3ms/step - loss: 6.0400

Testing for epoch 53 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.6554
16/16 [==============================] - 0s 3ms/step - loss: 6.0433
16/16 [==============================] - 0s 5ms/step - loss: 6.0433
16/16 [==============================] - 0s 5ms/step - loss: 6.0433
16/16 [==============================] - 0s 4ms/step - loss: 6.0433
16/16 [==============================] - 0s 4ms/step - loss: 6.0433
16/16 [==============================] - 0s 3ms/step - loss: 6.0433
16/16 [==============================] - 0s 2ms/step - loss: 6.0433
16/16 [==============================] - 0s 4ms/step - loss: 6.0433
16/16 [==============================] - 0s 1ms/step - loss: 6.0433

Testing for epoch 53 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6700
16/16 [==============================] - 0s 4ms/step - loss: 6.0706
16/16 [==============================] - 0s 2ms/step - loss: 6.0706
16/16 [==============================] - 0s 2ms/step - loss: 6.0706
16/16 [==============================] - 0s 6ms/step - loss: 6.0706
16/16 [==============================] - 0s 2ms/step - loss: 6.0706
16/16 [==============================] - 0s 5ms/step - loss: 6.0706
16/16 [==============================] - 0s 3ms/step - loss: 6.0706
16/16 [==============================] - 0s 2ms/step - loss: 6.0706
16/16 [==============================] - 0s 5ms/step - loss: 6.0706

Testing for epoch 53 index 20:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6697
16/16 [==============================] - 0s 3ms/step - loss: 6.0667
16/16 [==============================] - 0s 2ms/step - loss: 6.0667
16/16 [==============================] - 0s 2ms/step - loss: 6.0667
16/16 [==============================] - 0s 4ms/step - loss: 6.0667
16/16 [==============================] - 0s 3ms/step - loss: 6.0667
16/16 [==============================] - 0s 5ms/step - loss: 6.0667
16/16 [==============================] - 0s 2ms/step - loss: 6.0667
16/16 [==============================] - 0s 4ms/step - loss: 6.0667
16/16 [==============================] - 0s 5ms/step - loss: 6.0667

Testing for epoch 53 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6802
16/16 [==============================] - 0s 1ms/step - loss: 6.0811
16/16 [==============================] - 0s 13ms/step - loss: 6.0811
16/16 [==============================] - 0s 9ms/step - loss: 6.0811
16/16 [==============================] - 0s 4ms/step - loss: 6.0811
16/16 [==============================] - 0s 3ms/step - loss: 6.0811
16/16 [==============================] - 0s 8ms/step - loss: 6.0811
16/16 [==============================] - 0s 4ms/step - loss: 6.0811
16/16 [==============================] - 0s 6ms/step - loss: 6.0811
16/16 [==============================] - 0s 1ms/step - loss: 6.0811

Testing for epoch 53 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6495
16/16 [==============================] - 0s 7ms/step - loss: 6.0409
16/16 [==============================] - 0s 6ms/step - loss: 6.0409
16/16 [==============================] - 0s 6ms/step - loss: 6.0409
16/16 [==============================] - 0s 1ms/step - loss: 6.0409
16/16 [==============================] - 0s 2ms/step - loss: 6.0409
16/16 [==============================] - 0s 8ms/step - loss: 6.0409
16/16 [==============================] - 0s 6ms/step - loss: 6.0409
16/16 [==============================] - 0s 10ms/step - loss: 6.0409
16/16 [==============================] - 0s 7ms/step - loss: 6.0409

Testing for epoch 53 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.6575
16/16 [==============================] - 0s 2ms/step - loss: 6.0535
16/16 [==============================] - 0s 2ms/step - loss: 6.0535
16/16 [==============================] - 0s 3ms/step - loss: 6.0535
16/16 [==============================] - 0s 4ms/step - loss: 6.0535
16/16 [==============================] - 0s 5ms/step - loss: 6.0535
16/16 [==============================] - 0s 3ms/step - loss: 6.0535
16/16 [==============================] - 0s 8ms/step - loss: 6.0535
16/16 [==============================] - 0s 5ms/step - loss: 6.0535
16/16 [==============================] - 0s 2ms/step - loss: 6.0535

Testing for epoch 53 index 24:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6596
16/16 [==============================] - 0s 7ms/step - loss: 6.0569
16/16 [==============================] - 0s 3ms/step - loss: 6.0569
16/16 [==============================] - 0s 4ms/step - loss: 6.0569
16/16 [==============================] - 0s 9ms/step - loss: 6.0569
16/16 [==============================] - 0s 3ms/step - loss: 6.0569
16/16 [==============================] - 0s 5ms/step - loss: 6.0569
16/16 [==============================] - 0s 5ms/step - loss: 6.0569
16/16 [==============================] - 0s 4ms/step - loss: 6.0569
16/16 [==============================] - 0s 2ms/step - loss: 6.0569
Epoch 54 of 60

Testing for epoch 54 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6693
16/16 [==============================] - 0s 1ms/step - loss: 6.0731
16/16 [==============================] - 0s 4ms/step - loss: 6.0731
16/16 [==============================] - 0s 8ms/step - loss: 6.0731
16/16 [==============================] - 0s 6ms/step - loss: 6.0731
16/16 [==============================] - 0s 7ms/step - loss: 6.0731
16/16 [==============================] - 0s 3ms/step - loss: 6.0731
16/16 [==============================] - 0s 3ms/step - loss: 6.0731
16/16 [==============================] - 0s 3ms/step - loss: 6.0731
16/16 [==============================] - 0s 2ms/step - loss: 6.0731

Testing for epoch 54 index 2:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6658
16/16 [==============================] - 0s 1ms/step - loss: 6.0740
16/16 [==============================] - 0s 855us/step - loss: 6.0740
16/16 [==============================] - 0s 881us/step - loss: 6.0740
16/16 [==============================] - 0s 2ms/step - loss: 6.0740
16/16 [==============================] - 0s 1ms/step - loss: 6.0740
16/16 [==============================] - 0s 4ms/step - loss: 6.0740
16/16 [==============================] - 0s 1ms/step - loss: 6.0740
16/16 [==============================] - 0s 910us/step - loss: 6.0740
16/16 [==============================] - 0s 992us/step - loss: 6.0740

Testing for epoch 54 index 3:
391/391 [==============================] - 0s 644us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6563
16/16 [==============================] - 0s 933us/step - loss: 6.0587
16/16 [==============================] - 0s 935us/step - loss: 6.0587
16/16 [==============================] - 0s 838us/step - loss: 6.0587
16/16 [==============================] - 0s 1ms/step - loss: 6.0587
16/16 [==============================] - 0s 1ms/step - loss: 6.0587
16/16 [==============================] - 0s 2ms/step - loss: 6.0587
16/16 [==============================] - 0s 2ms/step - loss: 6.0587
16/16 [==============================] - 0s 3ms/step - loss: 6.0587
16/16 [==============================] - 0s 2ms/step - loss: 6.0587

Testing for epoch 54 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.6515
16/16 [==============================] - 0s 4ms/step - loss: 6.0602
16/16 [==============================] - 0s 1ms/step - loss: 6.0602
16/16 [==============================] - 0s 4ms/step - loss: 6.0602
16/16 [==============================] - 0s 2ms/step - loss: 6.0602
16/16 [==============================] - 0s 2ms/step - loss: 6.0602
16/16 [==============================] - 0s 1ms/step - loss: 6.0602
16/16 [==============================] - 0s 2ms/step - loss: 6.0602
16/16 [==============================] - 0s 1ms/step - loss: 6.0602
16/16 [==============================] - 0s 2ms/step - loss: 6.0602

Testing for epoch 54 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6693
16/16 [==============================] - 0s 3ms/step - loss: 6.0817
16/16 [==============================] - 0s 3ms/step - loss: 6.0817
16/16 [==============================] - 0s 3ms/step - loss: 6.0817
16/16 [==============================] - 0s 2ms/step - loss: 6.0817
16/16 [==============================] - 0s 2ms/step - loss: 6.0817
16/16 [==============================] - 0s 5ms/step - loss: 6.0817
16/16 [==============================] - 0s 2ms/step - loss: 6.0817
16/16 [==============================] - 0s 2ms/step - loss: 6.0817
16/16 [==============================] - 0s 2ms/step - loss: 6.0817

Testing for epoch 54 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6504
16/16 [==============================] - 0s 2ms/step - loss: 6.0670
16/16 [==============================] - 0s 3ms/step - loss: 6.0670
16/16 [==============================] - 0s 2ms/step - loss: 6.0670
16/16 [==============================] - 0s 2ms/step - loss: 6.0670
16/16 [==============================] - 0s 2ms/step - loss: 6.0670
16/16 [==============================] - 0s 2ms/step - loss: 6.0670
16/16 [==============================] - 0s 3ms/step - loss: 6.0670
16/16 [==============================] - 0s 2ms/step - loss: 6.0670
16/16 [==============================] - 0s 1ms/step - loss: 6.0670

Testing for epoch 54 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6687
16/16 [==============================] - 0s 3ms/step - loss: 6.0868
16/16 [==============================] - 0s 2ms/step - loss: 6.0868
16/16 [==============================] - 0s 3ms/step - loss: 6.0868
16/16 [==============================] - 0s 5ms/step - loss: 6.0868
16/16 [==============================] - 0s 3ms/step - loss: 6.0868
16/16 [==============================] - 0s 4ms/step - loss: 6.0868
16/16 [==============================] - 0s 2ms/step - loss: 6.0868
16/16 [==============================] - 0s 5ms/step - loss: 6.0868
16/16 [==============================] - 0s 4ms/step - loss: 6.0868

Testing for epoch 54 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6374
16/16 [==============================] - 0s 2ms/step - loss: 6.0507
16/16 [==============================] - 0s 2ms/step - loss: 6.0507
16/16 [==============================] - 0s 4ms/step - loss: 6.0507
16/16 [==============================] - 0s 2ms/step - loss: 6.0507
16/16 [==============================] - 0s 6ms/step - loss: 6.0507
16/16 [==============================] - 0s 3ms/step - loss: 6.0507
16/16 [==============================] - 0s 4ms/step - loss: 6.0507
16/16 [==============================] - 0s 4ms/step - loss: 6.0507
16/16 [==============================] - 0s 3ms/step - loss: 6.0507

Testing for epoch 54 index 9:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6402
16/16 [==============================] - 0s 2ms/step - loss: 6.0443
16/16 [==============================] - 0s 3ms/step - loss: 6.0443
16/16 [==============================] - 0s 1ms/step - loss: 6.0443
16/16 [==============================] - 0s 2ms/step - loss: 6.0443
16/16 [==============================] - 0s 3ms/step - loss: 6.0443
16/16 [==============================] - 0s 2ms/step - loss: 6.0443
16/16 [==============================] - 0s 2ms/step - loss: 6.0443
16/16 [==============================] - 0s 3ms/step - loss: 6.0443
16/16 [==============================] - 0s 2ms/step - loss: 6.0443

Testing for epoch 54 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6536
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672

Testing for epoch 54 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6681
16/16 [==============================] - 0s 2ms/step - loss: 6.0739
16/16 [==============================] - 0s 4ms/step - loss: 6.0739
16/16 [==============================] - 0s 2ms/step - loss: 6.0739
16/16 [==============================] - 0s 5ms/step - loss: 6.0739
16/16 [==============================] - 0s 3ms/step - loss: 6.0739
16/16 [==============================] - 0s 2ms/step - loss: 6.0739
16/16 [==============================] - 0s 2ms/step - loss: 6.0739
16/16 [==============================] - 0s 3ms/step - loss: 6.0739
16/16 [==============================] - 0s 4ms/step - loss: 6.0739

Testing for epoch 54 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6574
16/16 [==============================] - 0s 4ms/step - loss: 6.0532
16/16 [==============================] - 0s 3ms/step - loss: 6.0532
16/16 [==============================] - 0s 3ms/step - loss: 6.0532
16/16 [==============================] - 0s 2ms/step - loss: 6.0532
16/16 [==============================] - 0s 2ms/step - loss: 6.0532
16/16 [==============================] - 0s 2ms/step - loss: 6.0532
16/16 [==============================] - 0s 2ms/step - loss: 6.0532
16/16 [==============================] - 0s 2ms/step - loss: 6.0532
16/16 [==============================] - 0s 3ms/step - loss: 6.0532

Testing for epoch 54 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6611
16/16 [==============================] - 0s 2ms/step - loss: 6.0523
16/16 [==============================] - 0s 2ms/step - loss: 6.0523
16/16 [==============================] - 0s 4ms/step - loss: 6.0523
16/16 [==============================] - 0s 2ms/step - loss: 6.0523
16/16 [==============================] - 0s 2ms/step - loss: 6.0523
16/16 [==============================] - 0s 3ms/step - loss: 6.0523
16/16 [==============================] - 0s 2ms/step - loss: 6.0523
16/16 [==============================] - 0s 2ms/step - loss: 6.0523
16/16 [==============================] - 0s 1ms/step - loss: 6.0523

Testing for epoch 54 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6612
16/16 [==============================] - 0s 4ms/step - loss: 6.0487
16/16 [==============================] - 0s 2ms/step - loss: 6.0487
16/16 [==============================] - 0s 3ms/step - loss: 6.0487
16/16 [==============================] - 0s 3ms/step - loss: 6.0487
16/16 [==============================] - 0s 3ms/step - loss: 6.0487
16/16 [==============================] - 0s 2ms/step - loss: 6.0487
16/16 [==============================] - 0s 2ms/step - loss: 6.0487
16/16 [==============================] - 0s 3ms/step - loss: 6.0487
16/16 [==============================] - 0s 3ms/step - loss: 6.0487

Testing for epoch 54 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6560
16/16 [==============================] - 0s 4ms/step - loss: 6.0413
16/16 [==============================] - 0s 2ms/step - loss: 6.0413
16/16 [==============================] - 0s 3ms/step - loss: 6.0413
16/16 [==============================] - 0s 3ms/step - loss: 6.0413
16/16 [==============================] - 0s 2ms/step - loss: 6.0413
16/16 [==============================] - 0s 2ms/step - loss: 6.0413
16/16 [==============================] - 0s 2ms/step - loss: 6.0413
16/16 [==============================] - 0s 1ms/step - loss: 6.0413
16/16 [==============================] - 0s 2ms/step - loss: 6.0413

Testing for epoch 54 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6723
16/16 [==============================] - 0s 5ms/step - loss: 6.0611
16/16 [==============================] - 0s 3ms/step - loss: 6.0611
16/16 [==============================] - 0s 3ms/step - loss: 6.0611
16/16 [==============================] - 0s 3ms/step - loss: 6.0611
16/16 [==============================] - 0s 2ms/step - loss: 6.0611
16/16 [==============================] - 0s 4ms/step - loss: 6.0611
16/16 [==============================] - 0s 2ms/step - loss: 6.0611
16/16 [==============================] - 0s 2ms/step - loss: 6.0611
16/16 [==============================] - 0s 2ms/step - loss: 6.0611

Testing for epoch 54 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6878
16/16 [==============================] - 0s 2ms/step - loss: 6.0783
16/16 [==============================] - 0s 2ms/step - loss: 6.0783
16/16 [==============================] - 0s 2ms/step - loss: 6.0783
16/16 [==============================] - 0s 2ms/step - loss: 6.0783
16/16 [==============================] - 0s 2ms/step - loss: 6.0783
16/16 [==============================] - 0s 2ms/step - loss: 6.0783
16/16 [==============================] - 0s 3ms/step - loss: 6.0783
16/16 [==============================] - 0s 6ms/step - loss: 6.0783
16/16 [==============================] - 0s 3ms/step - loss: 6.0783

Testing for epoch 54 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7016
16/16 [==============================] - 0s 3ms/step - loss: 6.0945
16/16 [==============================] - 0s 2ms/step - loss: 6.0945
16/16 [==============================] - 0s 1ms/step - loss: 6.0945
16/16 [==============================] - 0s 2ms/step - loss: 6.0945
16/16 [==============================] - 0s 2ms/step - loss: 6.0945
16/16 [==============================] - 0s 2ms/step - loss: 6.0945
16/16 [==============================] - 0s 2ms/step - loss: 6.0945
16/16 [==============================] - 0s 3ms/step - loss: 6.0945
16/16 [==============================] - 0s 3ms/step - loss: 6.0945

Testing for epoch 54 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6922
16/16 [==============================] - 0s 2ms/step - loss: 6.0872
16/16 [==============================] - 0s 1ms/step - loss: 6.0872
16/16 [==============================] - 0s 1ms/step - loss: 6.0872
16/16 [==============================] - 0s 2ms/step - loss: 6.0872
16/16 [==============================] - 0s 2ms/step - loss: 6.0872
16/16 [==============================] - 0s 3ms/step - loss: 6.0872
16/16 [==============================] - 0s 3ms/step - loss: 6.0872
16/16 [==============================] - 0s 2ms/step - loss: 6.0872
16/16 [==============================] - 0s 3ms/step - loss: 6.0872

Testing for epoch 54 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6863
16/16 [==============================] - 0s 2ms/step - loss: 6.0721
16/16 [==============================] - 0s 2ms/step - loss: 6.0721
16/16 [==============================] - 0s 2ms/step - loss: 6.0721
16/16 [==============================] - 0s 2ms/step - loss: 6.0721
16/16 [==============================] - 0s 3ms/step - loss: 6.0721
16/16 [==============================] - 0s 3ms/step - loss: 6.0721
16/16 [==============================] - 0s 2ms/step - loss: 6.0721
16/16 [==============================] - 0s 2ms/step - loss: 6.0721
16/16 [==============================] - 0s 2ms/step - loss: 6.0721

Testing for epoch 54 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6927
16/16 [==============================] - 0s 4ms/step - loss: 6.0844
16/16 [==============================] - 0s 1ms/step - loss: 6.0844
16/16 [==============================] - 0s 2ms/step - loss: 6.0844
16/16 [==============================] - 0s 2ms/step - loss: 6.0844
16/16 [==============================] - 0s 2ms/step - loss: 6.0844
16/16 [==============================] - 0s 2ms/step - loss: 6.0844
16/16 [==============================] - 0s 2ms/step - loss: 6.0844
16/16 [==============================] - 0s 2ms/step - loss: 6.0844
16/16 [==============================] - 0s 5ms/step - loss: 6.0844

Testing for epoch 54 index 22:
391/391 [==============================] - 1s 4ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7024
16/16 [==============================] - 0s 2ms/step - loss: 6.0930
16/16 [==============================] - 0s 2ms/step - loss: 6.0930
16/16 [==============================] - 0s 2ms/step - loss: 6.0930
16/16 [==============================] - 0s 2ms/step - loss: 6.0930
16/16 [==============================] - 0s 2ms/step - loss: 6.0930
16/16 [==============================] - 0s 2ms/step - loss: 6.0930
16/16 [==============================] - 0s 1ms/step - loss: 6.0930
16/16 [==============================] - 0s 2ms/step - loss: 6.0930
16/16 [==============================] - 0s 2ms/step - loss: 6.0930

Testing for epoch 54 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6807
16/16 [==============================] - 0s 2ms/step - loss: 6.0683
16/16 [==============================] - 0s 2ms/step - loss: 6.0683
16/16 [==============================] - 0s 2ms/step - loss: 6.0683
16/16 [==============================] - 0s 2ms/step - loss: 6.0683
16/16 [==============================] - 0s 5ms/step - loss: 6.0683
16/16 [==============================] - 0s 3ms/step - loss: 6.0683
16/16 [==============================] - 0s 2ms/step - loss: 6.0683
16/16 [==============================] - 0s 2ms/step - loss: 6.0683
16/16 [==============================] - 0s 2ms/step - loss: 6.0683

Testing for epoch 54 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6995
16/16 [==============================] - 0s 2ms/step - loss: 6.0952
16/16 [==============================] - 0s 2ms/step - loss: 6.0952
16/16 [==============================] - 0s 5ms/step - loss: 6.0952
16/16 [==============================] - 0s 2ms/step - loss: 6.0952
16/16 [==============================] - 0s 2ms/step - loss: 6.0952
16/16 [==============================] - 0s 2ms/step - loss: 6.0952
16/16 [==============================] - 0s 2ms/step - loss: 6.0952
16/16 [==============================] - 0s 5ms/step - loss: 6.0952
16/16 [==============================] - 0s 4ms/step - loss: 6.0952
Epoch 55 of 60

Testing for epoch 55 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6936
16/16 [==============================] - 0s 2ms/step - loss: 6.0863
16/16 [==============================] - 0s 2ms/step - loss: 6.0863
16/16 [==============================] - 0s 2ms/step - loss: 6.0863
16/16 [==============================] - 0s 2ms/step - loss: 6.0863
16/16 [==============================] - 0s 2ms/step - loss: 6.0863
16/16 [==============================] - 0s 2ms/step - loss: 6.0863
16/16 [==============================] - 0s 2ms/step - loss: 6.0863
16/16 [==============================] - 0s 3ms/step - loss: 6.0863
16/16 [==============================] - 0s 4ms/step - loss: 6.0863

Testing for epoch 55 index 2:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6840
16/16 [==============================] - 0s 3ms/step - loss: 6.0810
16/16 [==============================] - 0s 5ms/step - loss: 6.0810
16/16 [==============================] - 0s 2ms/step - loss: 6.0810
16/16 [==============================] - 0s 2ms/step - loss: 6.0810
16/16 [==============================] - 0s 3ms/step - loss: 6.0810
16/16 [==============================] - 0s 2ms/step - loss: 6.0810
16/16 [==============================] - 0s 2ms/step - loss: 6.0810
16/16 [==============================] - 0s 2ms/step - loss: 6.0810
16/16 [==============================] - 0s 3ms/step - loss: 6.0810

Testing for epoch 55 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6737
16/16 [==============================] - 0s 3ms/step - loss: 6.0672
16/16 [==============================] - 0s 3ms/step - loss: 6.0672
16/16 [==============================] - 0s 4ms/step - loss: 6.0672
16/16 [==============================] - 0s 3ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672
16/16 [==============================] - 0s 5ms/step - loss: 6.0672
16/16 [==============================] - 0s 2ms/step - loss: 6.0672

Testing for epoch 55 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6613
16/16 [==============================] - 0s 2ms/step - loss: 6.0563
16/16 [==============================] - 0s 2ms/step - loss: 6.0563
16/16 [==============================] - 0s 1ms/step - loss: 6.0563
16/16 [==============================] - 0s 2ms/step - loss: 6.0563
16/16 [==============================] - 0s 2ms/step - loss: 6.0563
16/16 [==============================] - 0s 3ms/step - loss: 6.0563
16/16 [==============================] - 0s 2ms/step - loss: 6.0563
16/16 [==============================] - 0s 2ms/step - loss: 6.0563
16/16 [==============================] - 0s 3ms/step - loss: 6.0563

Testing for epoch 55 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6782
16/16 [==============================] - 0s 2ms/step - loss: 6.0885
16/16 [==============================] - 0s 1ms/step - loss: 6.0885
16/16 [==============================] - 0s 4ms/step - loss: 6.0885
16/16 [==============================] - 0s 3ms/step - loss: 6.0885
16/16 [==============================] - 0s 3ms/step - loss: 6.0885
16/16 [==============================] - 0s 3ms/step - loss: 6.0885
16/16 [==============================] - 0s 2ms/step - loss: 6.0885
16/16 [==============================] - 0s 2ms/step - loss: 6.0885
16/16 [==============================] - 0s 2ms/step - loss: 6.0885

Testing for epoch 55 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6678
16/16 [==============================] - 0s 4ms/step - loss: 6.0697
16/16 [==============================] - 0s 2ms/step - loss: 6.0697
16/16 [==============================] - 0s 4ms/step - loss: 6.0697
16/16 [==============================] - 0s 3ms/step - loss: 6.0697
16/16 [==============================] - 0s 4ms/step - loss: 6.0697
16/16 [==============================] - 0s 3ms/step - loss: 6.0697
16/16 [==============================] - 0s 2ms/step - loss: 6.0697
16/16 [==============================] - 0s 2ms/step - loss: 6.0697
16/16 [==============================] - 0s 3ms/step - loss: 6.0697

Testing for epoch 55 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6653
16/16 [==============================] - 0s 2ms/step - loss: 6.0771
16/16 [==============================] - 0s 2ms/step - loss: 6.0771
16/16 [==============================] - 0s 3ms/step - loss: 6.0771
16/16 [==============================] - 0s 2ms/step - loss: 6.0771
16/16 [==============================] - 0s 3ms/step - loss: 6.0771
16/16 [==============================] - 0s 2ms/step - loss: 6.0771
16/16 [==============================] - 0s 3ms/step - loss: 6.0771
16/16 [==============================] - 0s 2ms/step - loss: 6.0771
16/16 [==============================] - 0s 3ms/step - loss: 6.0771

Testing for epoch 55 index 8:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6777
16/16 [==============================] - 0s 2ms/step - loss: 6.0902
16/16 [==============================] - 0s 1ms/step - loss: 6.0902
16/16 [==============================] - 0s 3ms/step - loss: 6.0902
16/16 [==============================] - 0s 2ms/step - loss: 6.0902
16/16 [==============================] - 0s 2ms/step - loss: 6.0902
16/16 [==============================] - 0s 2ms/step - loss: 6.0902
16/16 [==============================] - 0s 2ms/step - loss: 6.0902
16/16 [==============================] - 0s 1ms/step - loss: 6.0902
16/16 [==============================] - 0s 2ms/step - loss: 6.0902

Testing for epoch 55 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6931
16/16 [==============================] - 0s 2ms/step - loss: 6.1130
16/16 [==============================] - 0s 3ms/step - loss: 6.1130
16/16 [==============================] - 0s 2ms/step - loss: 6.1130
16/16 [==============================] - 0s 2ms/step - loss: 6.1130
16/16 [==============================] - 0s 2ms/step - loss: 6.1130
16/16 [==============================] - 0s 2ms/step - loss: 6.1130
16/16 [==============================] - 0s 3ms/step - loss: 6.1130
16/16 [==============================] - 0s 2ms/step - loss: 6.1130
16/16 [==============================] - 0s 3ms/step - loss: 6.1130

Testing for epoch 55 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6696
16/16 [==============================] - 0s 2ms/step - loss: 6.0687
16/16 [==============================] - 0s 2ms/step - loss: 6.0687
16/16 [==============================] - 0s 1ms/step - loss: 6.0687
16/16 [==============================] - 0s 2ms/step - loss: 6.0687
16/16 [==============================] - 0s 2ms/step - loss: 6.0687
16/16 [==============================] - 0s 2ms/step - loss: 6.0687
16/16 [==============================] - 0s 2ms/step - loss: 6.0687
16/16 [==============================] - 0s 2ms/step - loss: 6.0687
16/16 [==============================] - 0s 2ms/step - loss: 6.0687

Testing for epoch 55 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7135
16/16 [==============================] - 0s 3ms/step - loss: 6.1215
16/16 [==============================] - 0s 2ms/step - loss: 6.1215
16/16 [==============================] - 0s 2ms/step - loss: 6.1215
16/16 [==============================] - 0s 2ms/step - loss: 6.1215
16/16 [==============================] - 0s 3ms/step - loss: 6.1215
16/16 [==============================] - 0s 2ms/step - loss: 6.1215
16/16 [==============================] - 0s 3ms/step - loss: 6.1215
16/16 [==============================] - 0s 3ms/step - loss: 6.1215
16/16 [==============================] - 0s 2ms/step - loss: 6.1215

Testing for epoch 55 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.6795
16/16 [==============================] - 0s 2ms/step - loss: 6.0718
16/16 [==============================] - 0s 2ms/step - loss: 6.0718
16/16 [==============================] - 0s 2ms/step - loss: 6.0718
16/16 [==============================] - 0s 2ms/step - loss: 6.0718
16/16 [==============================] - 0s 2ms/step - loss: 6.0718
16/16 [==============================] - 0s 3ms/step - loss: 6.0718
16/16 [==============================] - 0s 2ms/step - loss: 6.0718
16/16 [==============================] - 0s 2ms/step - loss: 6.0718
16/16 [==============================] - 0s 4ms/step - loss: 6.0718

Testing for epoch 55 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7233
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 3ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 3ms/step - loss: 6.1199
16/16 [==============================] - 0s 1ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 5ms/step - loss: 6.1199

Testing for epoch 55 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7100
16/16 [==============================] - 0s 2ms/step - loss: 6.0962
16/16 [==============================] - 0s 3ms/step - loss: 6.0962
16/16 [==============================] - 0s 2ms/step - loss: 6.0962
16/16 [==============================] - 0s 2ms/step - loss: 6.0962
16/16 [==============================] - 0s 3ms/step - loss: 6.0962
16/16 [==============================] - 0s 2ms/step - loss: 6.0962
16/16 [==============================] - 0s 7ms/step - loss: 6.0962
16/16 [==============================] - 0s 4ms/step - loss: 6.0962
16/16 [==============================] - 0s 2ms/step - loss: 6.0962

Testing for epoch 55 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6858
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 4ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 1ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704
16/16 [==============================] - 0s 2ms/step - loss: 6.0704

Testing for epoch 55 index 16:
391/391 [==============================] - 0s 966us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7105
16/16 [==============================] - 0s 2ms/step - loss: 6.0977
16/16 [==============================] - 0s 1ms/step - loss: 6.0977
16/16 [==============================] - 0s 3ms/step - loss: 6.0977
16/16 [==============================] - 0s 2ms/step - loss: 6.0977
16/16 [==============================] - 0s 2ms/step - loss: 6.0977
16/16 [==============================] - 0s 2ms/step - loss: 6.0977
16/16 [==============================] - 0s 4ms/step - loss: 6.0977
16/16 [==============================] - 0s 2ms/step - loss: 6.0977
16/16 [==============================] - 0s 2ms/step - loss: 6.0977

Testing for epoch 55 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7309
16/16 [==============================] - 0s 1ms/step - loss: 6.1241
16/16 [==============================] - 0s 1ms/step - loss: 6.1241
16/16 [==============================] - 0s 1ms/step - loss: 6.1241
16/16 [==============================] - 0s 3ms/step - loss: 6.1241
16/16 [==============================] - 0s 3ms/step - loss: 6.1241
16/16 [==============================] - 0s 3ms/step - loss: 6.1241
16/16 [==============================] - 0s 2ms/step - loss: 6.1241
16/16 [==============================] - 0s 2ms/step - loss: 6.1241
16/16 [==============================] - 0s 2ms/step - loss: 6.1241

Testing for epoch 55 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7353
16/16 [==============================] - 0s 2ms/step - loss: 6.1222
16/16 [==============================] - 0s 2ms/step - loss: 6.1222
16/16 [==============================] - 0s 1ms/step - loss: 6.1222
16/16 [==============================] - 0s 2ms/step - loss: 6.1222
16/16 [==============================] - 0s 3ms/step - loss: 6.1222
16/16 [==============================] - 0s 2ms/step - loss: 6.1222
16/16 [==============================] - 0s 2ms/step - loss: 6.1222
16/16 [==============================] - 0s 3ms/step - loss: 6.1222
16/16 [==============================] - 0s 2ms/step - loss: 6.1222

Testing for epoch 55 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7155
16/16 [==============================] - 0s 2ms/step - loss: 6.0978
16/16 [==============================] - 0s 2ms/step - loss: 6.0978
16/16 [==============================] - 0s 2ms/step - loss: 6.0978
16/16 [==============================] - 0s 2ms/step - loss: 6.0978
16/16 [==============================] - 0s 1ms/step - loss: 6.0978
16/16 [==============================] - 0s 2ms/step - loss: 6.0978
16/16 [==============================] - 0s 3ms/step - loss: 6.0978
16/16 [==============================] - 0s 2ms/step - loss: 6.0978
16/16 [==============================] - 0s 2ms/step - loss: 6.0978

Testing for epoch 55 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7416
16/16 [==============================] - 0s 4ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 3ms/step - loss: 6.1338
16/16 [==============================] - 0s 4ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 3ms/step - loss: 6.1338

Testing for epoch 55 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.6998
16/16 [==============================] - 0s 3ms/step - loss: 6.0838
16/16 [==============================] - 0s 2ms/step - loss: 6.0838
16/16 [==============================] - 0s 3ms/step - loss: 6.0838
16/16 [==============================] - 0s 5ms/step - loss: 6.0838
16/16 [==============================] - 0s 4ms/step - loss: 6.0838
16/16 [==============================] - 0s 2ms/step - loss: 6.0838
16/16 [==============================] - 0s 2ms/step - loss: 6.0838
16/16 [==============================] - 0s 2ms/step - loss: 6.0838
16/16 [==============================] - 0s 1ms/step - loss: 6.0838

Testing for epoch 55 index 22:
391/391 [==============================] - 1s 2ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7254
16/16 [==============================] - 0s 4ms/step - loss: 6.1203
16/16 [==============================] - 0s 2ms/step - loss: 6.1203
16/16 [==============================] - 0s 2ms/step - loss: 6.1203
16/16 [==============================] - 0s 2ms/step - loss: 6.1203
16/16 [==============================] - 0s 2ms/step - loss: 6.1203
16/16 [==============================] - 0s 2ms/step - loss: 6.1203
16/16 [==============================] - 0s 2ms/step - loss: 6.1203
16/16 [==============================] - 0s 5ms/step - loss: 6.1203
16/16 [==============================] - 0s 2ms/step - loss: 6.1203

Testing for epoch 55 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7247
16/16 [==============================] - 0s 2ms/step - loss: 6.1181
16/16 [==============================] - 0s 2ms/step - loss: 6.1181
16/16 [==============================] - 0s 2ms/step - loss: 6.1181
16/16 [==============================] - 0s 2ms/step - loss: 6.1181
16/16 [==============================] - 0s 2ms/step - loss: 6.1181
16/16 [==============================] - 0s 3ms/step - loss: 6.1181
16/16 [==============================] - 0s 2ms/step - loss: 6.1181
16/16 [==============================] - 0s 2ms/step - loss: 6.1181
16/16 [==============================] - 0s 2ms/step - loss: 6.1181

Testing for epoch 55 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7192
16/16 [==============================] - 0s 2ms/step - loss: 6.1100
16/16 [==============================] - 0s 2ms/step - loss: 6.1100
16/16 [==============================] - 0s 2ms/step - loss: 6.1100
16/16 [==============================] - 0s 2ms/step - loss: 6.1100
16/16 [==============================] - 0s 4ms/step - loss: 6.1100
16/16 [==============================] - 0s 3ms/step - loss: 6.1100
16/16 [==============================] - 0s 5ms/step - loss: 6.1100
16/16 [==============================] - 0s 2ms/step - loss: 6.1100
16/16 [==============================] - 0s 2ms/step - loss: 6.1100
Epoch 56 of 60

Testing for epoch 56 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7193
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 2ms/step - loss: 6.1144
16/16 [==============================] - 0s 3ms/step - loss: 6.1144

Testing for epoch 56 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7268
16/16 [==============================] - 0s 2ms/step - loss: 6.1296
16/16 [==============================] - 0s 2ms/step - loss: 6.1296
16/16 [==============================] - 0s 2ms/step - loss: 6.1296
16/16 [==============================] - 0s 3ms/step - loss: 6.1296
16/16 [==============================] - 0s 3ms/step - loss: 6.1296
16/16 [==============================] - 0s 2ms/step - loss: 6.1296
16/16 [==============================] - 0s 1ms/step - loss: 6.1296
16/16 [==============================] - 0s 2ms/step - loss: 6.1296
16/16 [==============================] - 0s 2ms/step - loss: 6.1296

Testing for epoch 56 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7068
16/16 [==============================] - 0s 2ms/step - loss: 6.1025
16/16 [==============================] - 0s 3ms/step - loss: 6.1025
16/16 [==============================] - 0s 2ms/step - loss: 6.1025
16/16 [==============================] - 0s 2ms/step - loss: 6.1025
16/16 [==============================] - 0s 2ms/step - loss: 6.1025
16/16 [==============================] - 0s 3ms/step - loss: 6.1025
16/16 [==============================] - 0s 3ms/step - loss: 6.1025
16/16 [==============================] - 0s 2ms/step - loss: 6.1025
16/16 [==============================] - 0s 2ms/step - loss: 6.1025

Testing for epoch 56 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.7216
16/16 [==============================] - 0s 2ms/step - loss: 6.1210
16/16 [==============================] - 0s 2ms/step - loss: 6.1210
16/16 [==============================] - 0s 3ms/step - loss: 6.1210
16/16 [==============================] - 0s 2ms/step - loss: 6.1210
16/16 [==============================] - 0s 2ms/step - loss: 6.1210
16/16 [==============================] - 0s 2ms/step - loss: 6.1210
16/16 [==============================] - 0s 3ms/step - loss: 6.1210
16/16 [==============================] - 0s 4ms/step - loss: 6.1210
16/16 [==============================] - 0s 4ms/step - loss: 6.1210

Testing for epoch 56 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7120
16/16 [==============================] - 0s 2ms/step - loss: 6.1179
16/16 [==============================] - 0s 4ms/step - loss: 6.1179
16/16 [==============================] - 0s 4ms/step - loss: 6.1179
16/16 [==============================] - 0s 2ms/step - loss: 6.1179
16/16 [==============================] - 0s 2ms/step - loss: 6.1179
16/16 [==============================] - 0s 3ms/step - loss: 6.1179
16/16 [==============================] - 0s 3ms/step - loss: 6.1179
16/16 [==============================] - 0s 4ms/step - loss: 6.1179
16/16 [==============================] - 0s 2ms/step - loss: 6.1179

Testing for epoch 56 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7063
16/16 [==============================] - 0s 3ms/step - loss: 6.1105
16/16 [==============================] - 0s 2ms/step - loss: 6.1105
16/16 [==============================] - 0s 1ms/step - loss: 6.1105
16/16 [==============================] - 0s 2ms/step - loss: 6.1105
16/16 [==============================] - 0s 2ms/step - loss: 6.1105
16/16 [==============================] - 0s 2ms/step - loss: 6.1105
16/16 [==============================] - 0s 4ms/step - loss: 6.1105
16/16 [==============================] - 0s 2ms/step - loss: 6.1105
16/16 [==============================] - 0s 3ms/step - loss: 6.1105

Testing for epoch 56 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7050
16/16 [==============================] - 0s 2ms/step - loss: 6.1159
16/16 [==============================] - 0s 2ms/step - loss: 6.1159
16/16 [==============================] - 0s 4ms/step - loss: 6.1159
16/16 [==============================] - 0s 2ms/step - loss: 6.1159
16/16 [==============================] - 0s 2ms/step - loss: 6.1159
16/16 [==============================] - 0s 3ms/step - loss: 6.1159
16/16 [==============================] - 0s 2ms/step - loss: 6.1159
16/16 [==============================] - 0s 2ms/step - loss: 6.1159
16/16 [==============================] - 0s 3ms/step - loss: 6.1159

Testing for epoch 56 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7039
16/16 [==============================] - 0s 3ms/step - loss: 6.1138
16/16 [==============================] - 0s 2ms/step - loss: 6.1138
16/16 [==============================] - 0s 3ms/step - loss: 6.1138
16/16 [==============================] - 0s 2ms/step - loss: 6.1138
16/16 [==============================] - 0s 4ms/step - loss: 6.1138
16/16 [==============================] - 0s 3ms/step - loss: 6.1138
16/16 [==============================] - 0s 4ms/step - loss: 6.1138
16/16 [==============================] - 0s 2ms/step - loss: 6.1138
16/16 [==============================] - 0s 3ms/step - loss: 6.1138

Testing for epoch 56 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.6941
16/16 [==============================] - 0s 2ms/step - loss: 6.0965
16/16 [==============================] - 0s 1ms/step - loss: 6.0965
16/16 [==============================] - 0s 2ms/step - loss: 6.0965
16/16 [==============================] - 0s 2ms/step - loss: 6.0965
16/16 [==============================] - 0s 4ms/step - loss: 6.0965
16/16 [==============================] - 0s 2ms/step - loss: 6.0965
16/16 [==============================] - 0s 3ms/step - loss: 6.0965
16/16 [==============================] - 0s 2ms/step - loss: 6.0965
16/16 [==============================] - 0s 2ms/step - loss: 6.0965

Testing for epoch 56 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7033
16/16 [==============================] - 0s 2ms/step - loss: 6.0998
16/16 [==============================] - 0s 4ms/step - loss: 6.0998
16/16 [==============================] - 0s 5ms/step - loss: 6.0998
16/16 [==============================] - 0s 2ms/step - loss: 6.0998
16/16 [==============================] - 0s 2ms/step - loss: 6.0998
16/16 [==============================] - 0s 3ms/step - loss: 6.0998
16/16 [==============================] - 0s 2ms/step - loss: 6.0998
16/16 [==============================] - 0s 2ms/step - loss: 6.0998
16/16 [==============================] - 0s 3ms/step - loss: 6.0998

Testing for epoch 56 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7028
16/16 [==============================] - 0s 2ms/step - loss: 6.0948
16/16 [==============================] - 0s 2ms/step - loss: 6.0948
16/16 [==============================] - 0s 3ms/step - loss: 6.0948
16/16 [==============================] - 0s 2ms/step - loss: 6.0948
16/16 [==============================] - 0s 3ms/step - loss: 6.0948
16/16 [==============================] - 0s 2ms/step - loss: 6.0948
16/16 [==============================] - 0s 3ms/step - loss: 6.0948
16/16 [==============================] - 0s 2ms/step - loss: 6.0948
16/16 [==============================] - 0s 2ms/step - loss: 6.0948

Testing for epoch 56 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7352
16/16 [==============================] - 0s 2ms/step - loss: 6.1369
16/16 [==============================] - 0s 2ms/step - loss: 6.1369
16/16 [==============================] - 0s 2ms/step - loss: 6.1369
16/16 [==============================] - 0s 2ms/step - loss: 6.1369
16/16 [==============================] - 0s 3ms/step - loss: 6.1369
16/16 [==============================] - 0s 2ms/step - loss: 6.1369
16/16 [==============================] - 0s 2ms/step - loss: 6.1369
16/16 [==============================] - 0s 2ms/step - loss: 6.1369
16/16 [==============================] - 0s 5ms/step - loss: 6.1369

Testing for epoch 56 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7299
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 2ms/step - loss: 6.1199
16/16 [==============================] - 0s 3ms/step - loss: 6.1199
16/16 [==============================] - 0s 4ms/step - loss: 6.1199

Testing for epoch 56 index 14:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7304
16/16 [==============================] - 0s 2ms/step - loss: 6.1186
16/16 [==============================] - 0s 2ms/step - loss: 6.1186
16/16 [==============================] - 0s 2ms/step - loss: 6.1186
16/16 [==============================] - 0s 2ms/step - loss: 6.1186
16/16 [==============================] - 0s 4ms/step - loss: 6.1186
16/16 [==============================] - 0s 2ms/step - loss: 6.1186
16/16 [==============================] - 0s 3ms/step - loss: 6.1186
16/16 [==============================] - 0s 2ms/step - loss: 6.1186
16/16 [==============================] - 0s 2ms/step - loss: 6.1186

Testing for epoch 56 index 15:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7385
16/16 [==============================] - 0s 2ms/step - loss: 6.1247
16/16 [==============================] - 0s 2ms/step - loss: 6.1247
16/16 [==============================] - 0s 2ms/step - loss: 6.1247
16/16 [==============================] - 0s 2ms/step - loss: 6.1247
16/16 [==============================] - 0s 2ms/step - loss: 6.1247
16/16 [==============================] - 0s 2ms/step - loss: 6.1247
16/16 [==============================] - 0s 1ms/step - loss: 6.1247
16/16 [==============================] - 0s 3ms/step - loss: 6.1247
16/16 [==============================] - 0s 2ms/step - loss: 6.1247

Testing for epoch 56 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7429
16/16 [==============================] - 0s 2ms/step - loss: 6.1301
16/16 [==============================] - 0s 3ms/step - loss: 6.1301
16/16 [==============================] - 0s 5ms/step - loss: 6.1301
16/16 [==============================] - 0s 1ms/step - loss: 6.1301
16/16 [==============================] - 0s 3ms/step - loss: 6.1301
16/16 [==============================] - 0s 2ms/step - loss: 6.1301
16/16 [==============================] - 0s 3ms/step - loss: 6.1301
16/16 [==============================] - 0s 2ms/step - loss: 6.1301
16/16 [==============================] - 0s 2ms/step - loss: 6.1301

Testing for epoch 56 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7499
16/16 [==============================] - 0s 1ms/step - loss: 6.1349
16/16 [==============================] - 0s 2ms/step - loss: 6.1349
16/16 [==============================] - 0s 3ms/step - loss: 6.1349
16/16 [==============================] - 0s 3ms/step - loss: 6.1349
16/16 [==============================] - 0s 2ms/step - loss: 6.1349
16/16 [==============================] - 0s 1ms/step - loss: 6.1349
16/16 [==============================] - 0s 2ms/step - loss: 6.1349
16/16 [==============================] - 0s 2ms/step - loss: 6.1349
16/16 [==============================] - 0s 2ms/step - loss: 6.1349

Testing for epoch 56 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7369
16/16 [==============================] - 0s 4ms/step - loss: 6.1162
16/16 [==============================] - 0s 2ms/step - loss: 6.1162
16/16 [==============================] - 0s 3ms/step - loss: 6.1162
16/16 [==============================] - 0s 2ms/step - loss: 6.1162
16/16 [==============================] - 0s 2ms/step - loss: 6.1162
16/16 [==============================] - 0s 4ms/step - loss: 6.1162
16/16 [==============================] - 0s 2ms/step - loss: 6.1162
16/16 [==============================] - 0s 1ms/step - loss: 6.1162
16/16 [==============================] - 0s 2ms/step - loss: 6.1162

Testing for epoch 56 index 19:
391/391 [==============================] - 1s 4ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7227
16/16 [==============================] - 0s 1ms/step - loss: 6.1005
16/16 [==============================] - 0s 2ms/step - loss: 6.1005
16/16 [==============================] - 0s 4ms/step - loss: 6.1005
16/16 [==============================] - 0s 3ms/step - loss: 6.1005
16/16 [==============================] - 0s 2ms/step - loss: 6.1005
16/16 [==============================] - 0s 2ms/step - loss: 6.1005
16/16 [==============================] - 0s 2ms/step - loss: 6.1005
16/16 [==============================] - 0s 2ms/step - loss: 6.1005
16/16 [==============================] - 0s 1ms/step - loss: 6.1005

Testing for epoch 56 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7228
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059
16/16 [==============================] - 0s 2ms/step - loss: 6.1059

Testing for epoch 56 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7406
16/16 [==============================] - 0s 2ms/step - loss: 6.1217
16/16 [==============================] - 0s 3ms/step - loss: 6.1217
16/16 [==============================] - 0s 2ms/step - loss: 6.1217
16/16 [==============================] - 0s 2ms/step - loss: 6.1217
16/16 [==============================] - 0s 2ms/step - loss: 6.1217
16/16 [==============================] - 0s 2ms/step - loss: 6.1217
16/16 [==============================] - 0s 2ms/step - loss: 6.1217
16/16 [==============================] - 0s 2ms/step - loss: 6.1217
16/16 [==============================] - 0s 3ms/step - loss: 6.1217

Testing for epoch 56 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7376
16/16 [==============================] - 0s 2ms/step - loss: 6.1240
16/16 [==============================] - 0s 5ms/step - loss: 6.1240
16/16 [==============================] - 0s 2ms/step - loss: 6.1240
16/16 [==============================] - 0s 2ms/step - loss: 6.1240
16/16 [==============================] - 0s 2ms/step - loss: 6.1240
16/16 [==============================] - 0s 2ms/step - loss: 6.1240
16/16 [==============================] - 0s 4ms/step - loss: 6.1240
16/16 [==============================] - 0s 2ms/step - loss: 6.1240
16/16 [==============================] - 0s 2ms/step - loss: 6.1240

Testing for epoch 56 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7324
16/16 [==============================] - 0s 2ms/step - loss: 6.1190
16/16 [==============================] - 0s 2ms/step - loss: 6.1190
16/16 [==============================] - 0s 2ms/step - loss: 6.1190
16/16 [==============================] - 0s 2ms/step - loss: 6.1190
16/16 [==============================] - 0s 2ms/step - loss: 6.1190
16/16 [==============================] - 0s 2ms/step - loss: 6.1190
16/16 [==============================] - 0s 3ms/step - loss: 6.1190
16/16 [==============================] - 0s 2ms/step - loss: 6.1190
16/16 [==============================] - 0s 2ms/step - loss: 6.1190

Testing for epoch 56 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7460
16/16 [==============================] - 0s 4ms/step - loss: 6.1344
16/16 [==============================] - 0s 3ms/step - loss: 6.1344
16/16 [==============================] - 0s 3ms/step - loss: 6.1344
16/16 [==============================] - 0s 1ms/step - loss: 6.1344
16/16 [==============================] - 0s 1ms/step - loss: 6.1344
16/16 [==============================] - 0s 4ms/step - loss: 6.1344
16/16 [==============================] - 0s 2ms/step - loss: 6.1344
16/16 [==============================] - 0s 2ms/step - loss: 6.1344
16/16 [==============================] - 0s 2ms/step - loss: 6.1344
Epoch 57 of 60

Testing for epoch 57 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.7497
16/16 [==============================] - 0s 3ms/step - loss: 6.1445
16/16 [==============================] - 0s 3ms/step - loss: 6.1445
16/16 [==============================] - 0s 2ms/step - loss: 6.1445
16/16 [==============================] - 0s 2ms/step - loss: 6.1445
16/16 [==============================] - 0s 3ms/step - loss: 6.1445
16/16 [==============================] - 0s 2ms/step - loss: 6.1445
16/16 [==============================] - 0s 2ms/step - loss: 6.1445
16/16 [==============================] - 0s 1ms/step - loss: 6.1445
16/16 [==============================] - 0s 2ms/step - loss: 6.1445

Testing for epoch 57 index 2:
391/391 [==============================] - 0s 940us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7390
16/16 [==============================] - 0s 1ms/step - loss: 6.1269
16/16 [==============================] - 0s 2ms/step - loss: 6.1269
16/16 [==============================] - 0s 2ms/step - loss: 6.1269
16/16 [==============================] - 0s 4ms/step - loss: 6.1269
16/16 [==============================] - 0s 2ms/step - loss: 6.1269
16/16 [==============================] - 0s 2ms/step - loss: 6.1269
16/16 [==============================] - 0s 3ms/step - loss: 6.1269
16/16 [==============================] - 0s 2ms/step - loss: 6.1269
16/16 [==============================] - 0s 4ms/step - loss: 6.1269

Testing for epoch 57 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.7171
16/16 [==============================] - 0s 2ms/step - loss: 6.1038
16/16 [==============================] - 0s 1ms/step - loss: 6.1038
16/16 [==============================] - 0s 2ms/step - loss: 6.1038
16/16 [==============================] - 0s 4ms/step - loss: 6.1038
16/16 [==============================] - 0s 2ms/step - loss: 6.1038
16/16 [==============================] - 0s 2ms/step - loss: 6.1038
16/16 [==============================] - 0s 2ms/step - loss: 6.1038
16/16 [==============================] - 0s 2ms/step - loss: 6.1038
16/16 [==============================] - 0s 2ms/step - loss: 6.1038

Testing for epoch 57 index 4:
391/391 [==============================] - 0s 854us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7409
16/16 [==============================] - 0s 1ms/step - loss: 6.1411
16/16 [==============================] - 0s 3ms/step - loss: 6.1411
16/16 [==============================] - 0s 2ms/step - loss: 6.1411
16/16 [==============================] - 0s 2ms/step - loss: 6.1411
16/16 [==============================] - 0s 2ms/step - loss: 6.1411
16/16 [==============================] - 0s 2ms/step - loss: 6.1411
16/16 [==============================] - 0s 3ms/step - loss: 6.1411
16/16 [==============================] - 0s 1ms/step - loss: 6.1411
16/16 [==============================] - 0s 5ms/step - loss: 6.1411

Testing for epoch 57 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7580
16/16 [==============================] - 0s 2ms/step - loss: 6.1585
16/16 [==============================] - 0s 975us/step - loss: 6.1585
16/16 [==============================] - 0s 4ms/step - loss: 6.1585
16/16 [==============================] - 0s 771us/step - loss: 6.1585
16/16 [==============================] - 0s 877us/step - loss: 6.1585
16/16 [==============================] - 0s 2ms/step - loss: 6.1585
16/16 [==============================] - 0s 1ms/step - loss: 6.1585
16/16 [==============================] - 0s 1ms/step - loss: 6.1585
16/16 [==============================] - 0s 720us/step - loss: 6.1585

Testing for epoch 57 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7270
16/16 [==============================] - 0s 3ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222
16/16 [==============================] - 0s 5ms/step - loss: 6.1222

Testing for epoch 57 index 7:
391/391 [==============================] - 0s 526us/step
16/16 [==============================] - 0s 845us/step - loss: 5.7370
16/16 [==============================] - 0s 852us/step - loss: 6.1407
16/16 [==============================] - 0s 829us/step - loss: 6.1407
16/16 [==============================] - 0s 845us/step - loss: 6.1407
16/16 [==============================] - 0s 834us/step - loss: 6.1407
16/16 [==============================] - 0s 844us/step - loss: 6.1407
16/16 [==============================] - 0s 854us/step - loss: 6.1407
16/16 [==============================] - 0s 870us/step - loss: 6.1407
16/16 [==============================] - 0s 832us/step - loss: 6.1407
16/16 [==============================] - 0s 1ms/step - loss: 6.1407

Testing for epoch 57 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7441
16/16 [==============================] - 0s 2ms/step - loss: 6.1498
16/16 [==============================] - 0s 4ms/step - loss: 6.1498
16/16 [==============================] - 0s 3ms/step - loss: 6.1498
16/16 [==============================] - 0s 6ms/step - loss: 6.1498
16/16 [==============================] - 0s 5ms/step - loss: 6.1498
16/16 [==============================] - 0s 2ms/step - loss: 6.1498
16/16 [==============================] - 0s 4ms/step - loss: 6.1498
16/16 [==============================] - 0s 5ms/step - loss: 6.1498
16/16 [==============================] - 0s 2ms/step - loss: 6.1498

Testing for epoch 57 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7350
16/16 [==============================] - 0s 2ms/step - loss: 6.1389
16/16 [==============================] - 0s 3ms/step - loss: 6.1389
16/16 [==============================] - 0s 4ms/step - loss: 6.1389
16/16 [==============================] - 0s 4ms/step - loss: 6.1389
16/16 [==============================] - 0s 2ms/step - loss: 6.1389
16/16 [==============================] - 0s 6ms/step - loss: 6.1389
16/16 [==============================] - 0s 2ms/step - loss: 6.1389
16/16 [==============================] - 0s 3ms/step - loss: 6.1389
16/16 [==============================] - 0s 4ms/step - loss: 6.1389

Testing for epoch 57 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7281
16/16 [==============================] - 0s 2ms/step - loss: 6.1256
16/16 [==============================] - 0s 2ms/step - loss: 6.1256
16/16 [==============================] - 0s 3ms/step - loss: 6.1256
16/16 [==============================] - 0s 4ms/step - loss: 6.1256
16/16 [==============================] - 0s 3ms/step - loss: 6.1256
16/16 [==============================] - 0s 5ms/step - loss: 6.1256
16/16 [==============================] - 0s 7ms/step - loss: 6.1256
16/16 [==============================] - 0s 3ms/step - loss: 6.1256
16/16 [==============================] - 0s 5ms/step - loss: 6.1256

Testing for epoch 57 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7418
16/16 [==============================] - 0s 804us/step - loss: 6.1310
16/16 [==============================] - 0s 2ms/step - loss: 6.1310
16/16 [==============================] - 0s 921us/step - loss: 6.1310
16/16 [==============================] - 0s 4ms/step - loss: 6.1310
16/16 [==============================] - 0s 2ms/step - loss: 6.1310
16/16 [==============================] - 0s 3ms/step - loss: 6.1310
16/16 [==============================] - 0s 4ms/step - loss: 6.1310
16/16 [==============================] - 0s 3ms/step - loss: 6.1310
16/16 [==============================] - 0s 2ms/step - loss: 6.1310

Testing for epoch 57 index 12:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7658
16/16 [==============================] - 0s 1ms/step - loss: 6.1634
16/16 [==============================] - 0s 1ms/step - loss: 6.1634
16/16 [==============================] - 0s 1ms/step - loss: 6.1634
16/16 [==============================] - 0s 2ms/step - loss: 6.1634
16/16 [==============================] - 0s 2ms/step - loss: 6.1634
16/16 [==============================] - 0s 2ms/step - loss: 6.1634
16/16 [==============================] - 0s 1ms/step - loss: 6.1634
16/16 [==============================] - 0s 3ms/step - loss: 6.1634
16/16 [==============================] - 0s 2ms/step - loss: 6.1634

Testing for epoch 57 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.7891
16/16 [==============================] - 0s 2ms/step - loss: 6.1865
16/16 [==============================] - 0s 2ms/step - loss: 6.1865
16/16 [==============================] - 0s 2ms/step - loss: 6.1865
16/16 [==============================] - 0s 2ms/step - loss: 6.1865
16/16 [==============================] - 0s 3ms/step - loss: 6.1865
16/16 [==============================] - 0s 2ms/step - loss: 6.1865
16/16 [==============================] - 0s 2ms/step - loss: 6.1865
16/16 [==============================] - 0s 2ms/step - loss: 6.1865
16/16 [==============================] - 0s 5ms/step - loss: 6.1865

Testing for epoch 57 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7478
16/16 [==============================] - 0s 2ms/step - loss: 6.1333
16/16 [==============================] - 0s 1ms/step - loss: 6.1333
16/16 [==============================] - 0s 2ms/step - loss: 6.1333
16/16 [==============================] - 0s 2ms/step - loss: 6.1333
16/16 [==============================] - 0s 2ms/step - loss: 6.1333
16/16 [==============================] - 0s 2ms/step - loss: 6.1333
16/16 [==============================] - 0s 2ms/step - loss: 6.1333
16/16 [==============================] - 0s 3ms/step - loss: 6.1333
16/16 [==============================] - 0s 1ms/step - loss: 6.1333

Testing for epoch 57 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7681
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 2ms/step - loss: 6.1497
16/16 [==============================] - 0s 3ms/step - loss: 6.1497

Testing for epoch 57 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7743
16/16 [==============================] - 0s 2ms/step - loss: 6.1657
16/16 [==============================] - 0s 2ms/step - loss: 6.1657
16/16 [==============================] - 0s 3ms/step - loss: 6.1657
16/16 [==============================] - 0s 3ms/step - loss: 6.1657
16/16 [==============================] - 0s 1ms/step - loss: 6.1657
16/16 [==============================] - 0s 2ms/step - loss: 6.1657
16/16 [==============================] - 0s 2ms/step - loss: 6.1657
16/16 [==============================] - 0s 2ms/step - loss: 6.1657
16/16 [==============================] - 0s 2ms/step - loss: 6.1657

Testing for epoch 57 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7592
16/16 [==============================] - 0s 2ms/step - loss: 6.1400
16/16 [==============================] - 0s 4ms/step - loss: 6.1400
16/16 [==============================] - 0s 2ms/step - loss: 6.1400
16/16 [==============================] - 0s 3ms/step - loss: 6.1400
16/16 [==============================] - 0s 2ms/step - loss: 6.1400
16/16 [==============================] - 0s 4ms/step - loss: 6.1400
16/16 [==============================] - 0s 1ms/step - loss: 6.1400
16/16 [==============================] - 0s 3ms/step - loss: 6.1400
16/16 [==============================] - 0s 2ms/step - loss: 6.1400

Testing for epoch 57 index 18:
391/391 [==============================] - 0s 958us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.7808
16/16 [==============================] - 0s 1ms/step - loss: 6.1655
16/16 [==============================] - 0s 1ms/step - loss: 6.1655
16/16 [==============================] - 0s 2ms/step - loss: 6.1655
16/16 [==============================] - 0s 2ms/step - loss: 6.1655
16/16 [==============================] - 0s 2ms/step - loss: 6.1655
16/16 [==============================] - 0s 2ms/step - loss: 6.1655
16/16 [==============================] - 0s 2ms/step - loss: 6.1655
16/16 [==============================] - 0s 2ms/step - loss: 6.1655
16/16 [==============================] - 0s 3ms/step - loss: 6.1655

Testing for epoch 57 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.7586
16/16 [==============================] - 0s 1ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338
16/16 [==============================] - 0s 2ms/step - loss: 6.1338

Testing for epoch 57 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7729
16/16 [==============================] - 0s 2ms/step - loss: 6.1519
16/16 [==============================] - 0s 3ms/step - loss: 6.1519
16/16 [==============================] - 0s 3ms/step - loss: 6.1519
16/16 [==============================] - 0s 2ms/step - loss: 6.1519
16/16 [==============================] - 0s 3ms/step - loss: 6.1519
16/16 [==============================] - 0s 3ms/step - loss: 6.1519
16/16 [==============================] - 0s 3ms/step - loss: 6.1519
16/16 [==============================] - 0s 3ms/step - loss: 6.1519
16/16 [==============================] - 0s 2ms/step - loss: 6.1519

Testing for epoch 57 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7800
16/16 [==============================] - 0s 4ms/step - loss: 6.1635
16/16 [==============================] - 0s 2ms/step - loss: 6.1635
16/16 [==============================] - 0s 5ms/step - loss: 6.1635
16/16 [==============================] - 0s 1ms/step - loss: 6.1635
16/16 [==============================] - 0s 3ms/step - loss: 6.1635
16/16 [==============================] - 0s 2ms/step - loss: 6.1635
16/16 [==============================] - 0s 3ms/step - loss: 6.1635
16/16 [==============================] - 0s 1ms/step - loss: 6.1635
16/16 [==============================] - 0s 3ms/step - loss: 6.1635

Testing for epoch 57 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7905
16/16 [==============================] - 0s 4ms/step - loss: 6.1812
16/16 [==============================] - 0s 3ms/step - loss: 6.1812
16/16 [==============================] - 0s 1ms/step - loss: 6.1812
16/16 [==============================] - 0s 2ms/step - loss: 6.1812
16/16 [==============================] - 0s 2ms/step - loss: 6.1812
16/16 [==============================] - 0s 2ms/step - loss: 6.1812
16/16 [==============================] - 0s 1ms/step - loss: 6.1812
16/16 [==============================] - 0s 3ms/step - loss: 6.1812
16/16 [==============================] - 0s 2ms/step - loss: 6.1812

Testing for epoch 57 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8162
16/16 [==============================] - 0s 2ms/step - loss: 6.2146
16/16 [==============================] - 0s 2ms/step - loss: 6.2146
16/16 [==============================] - 0s 2ms/step - loss: 6.2146
16/16 [==============================] - 0s 1ms/step - loss: 6.2146
16/16 [==============================] - 0s 2ms/step - loss: 6.2146
16/16 [==============================] - 0s 2ms/step - loss: 6.2146
16/16 [==============================] - 0s 3ms/step - loss: 6.2146
16/16 [==============================] - 0s 2ms/step - loss: 6.2146
16/16 [==============================] - 0s 1ms/step - loss: 6.2146

Testing for epoch 57 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7656
16/16 [==============================] - 0s 3ms/step - loss: 6.1443
16/16 [==============================] - 0s 3ms/step - loss: 6.1443
16/16 [==============================] - 0s 3ms/step - loss: 6.1443
16/16 [==============================] - 0s 3ms/step - loss: 6.1443
16/16 [==============================] - 0s 2ms/step - loss: 6.1443
16/16 [==============================] - 0s 2ms/step - loss: 6.1443
16/16 [==============================] - 0s 2ms/step - loss: 6.1443
16/16 [==============================] - 0s 1ms/step - loss: 6.1443
16/16 [==============================] - 0s 2ms/step - loss: 6.1443
Epoch 58 of 60

Testing for epoch 58 index 1:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7661
16/16 [==============================] - 0s 2ms/step - loss: 6.1575
16/16 [==============================] - 0s 2ms/step - loss: 6.1575
16/16 [==============================] - 0s 2ms/step - loss: 6.1575
16/16 [==============================] - 0s 4ms/step - loss: 6.1575
16/16 [==============================] - 0s 3ms/step - loss: 6.1575
16/16 [==============================] - 0s 2ms/step - loss: 6.1575
16/16 [==============================] - 0s 3ms/step - loss: 6.1575
16/16 [==============================] - 0s 2ms/step - loss: 6.1575
16/16 [==============================] - 0s 2ms/step - loss: 6.1575

Testing for epoch 58 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7727
16/16 [==============================] - 0s 4ms/step - loss: 6.1581
16/16 [==============================] - 0s 2ms/step - loss: 6.1581
16/16 [==============================] - 0s 3ms/step - loss: 6.1581
16/16 [==============================] - 0s 2ms/step - loss: 6.1581
16/16 [==============================] - 0s 2ms/step - loss: 6.1581
16/16 [==============================] - 0s 3ms/step - loss: 6.1581
16/16 [==============================] - 0s 5ms/step - loss: 6.1581
16/16 [==============================] - 0s 3ms/step - loss: 6.1581
16/16 [==============================] - 0s 2ms/step - loss: 6.1581

Testing for epoch 58 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7575
16/16 [==============================] - 0s 1ms/step - loss: 6.1426
16/16 [==============================] - 0s 1ms/step - loss: 6.1426
16/16 [==============================] - 0s 2ms/step - loss: 6.1426
16/16 [==============================] - 0s 3ms/step - loss: 6.1426
16/16 [==============================] - 0s 2ms/step - loss: 6.1426
16/16 [==============================] - 0s 2ms/step - loss: 6.1426
16/16 [==============================] - 0s 3ms/step - loss: 6.1426
16/16 [==============================] - 0s 2ms/step - loss: 6.1426
16/16 [==============================] - 0s 3ms/step - loss: 6.1426

Testing for epoch 58 index 4:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7682
16/16 [==============================] - 0s 3ms/step - loss: 6.1573
16/16 [==============================] - 0s 4ms/step - loss: 6.1573
16/16 [==============================] - 0s 3ms/step - loss: 6.1573
16/16 [==============================] - 0s 1ms/step - loss: 6.1573
16/16 [==============================] - 0s 3ms/step - loss: 6.1573
16/16 [==============================] - 0s 2ms/step - loss: 6.1573
16/16 [==============================] - 0s 4ms/step - loss: 6.1573
16/16 [==============================] - 0s 2ms/step - loss: 6.1573
16/16 [==============================] - 0s 1ms/step - loss: 6.1573

Testing for epoch 58 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7817
16/16 [==============================] - 0s 3ms/step - loss: 6.1799
16/16 [==============================] - 0s 2ms/step - loss: 6.1799
16/16 [==============================] - 0s 2ms/step - loss: 6.1799
16/16 [==============================] - 0s 4ms/step - loss: 6.1799
16/16 [==============================] - 0s 2ms/step - loss: 6.1799
16/16 [==============================] - 0s 2ms/step - loss: 6.1799
16/16 [==============================] - 0s 2ms/step - loss: 6.1799
16/16 [==============================] - 0s 2ms/step - loss: 6.1799
16/16 [==============================] - 0s 2ms/step - loss: 6.1799

Testing for epoch 58 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7854
16/16 [==============================] - 0s 1ms/step - loss: 6.1833
16/16 [==============================] - 0s 5ms/step - loss: 6.1833
16/16 [==============================] - 0s 1ms/step - loss: 6.1833
16/16 [==============================] - 0s 2ms/step - loss: 6.1833
16/16 [==============================] - 0s 1ms/step - loss: 6.1833
16/16 [==============================] - 0s 2ms/step - loss: 6.1833
16/16 [==============================] - 0s 2ms/step - loss: 6.1833
16/16 [==============================] - 0s 3ms/step - loss: 6.1833
16/16 [==============================] - 0s 2ms/step - loss: 6.1833

Testing for epoch 58 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.7689
16/16 [==============================] - 0s 2ms/step - loss: 6.1687
16/16 [==============================] - 0s 2ms/step - loss: 6.1687
16/16 [==============================] - 0s 2ms/step - loss: 6.1687
16/16 [==============================] - 0s 3ms/step - loss: 6.1687
16/16 [==============================] - 0s 4ms/step - loss: 6.1687
16/16 [==============================] - 0s 1ms/step - loss: 6.1687
16/16 [==============================] - 0s 5ms/step - loss: 6.1687
16/16 [==============================] - 0s 2ms/step - loss: 6.1687
16/16 [==============================] - 0s 1ms/step - loss: 6.1687

Testing for epoch 58 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.7761
16/16 [==============================] - 0s 1ms/step - loss: 6.1844
16/16 [==============================] - 0s 1ms/step - loss: 6.1844
16/16 [==============================] - 0s 2ms/step - loss: 6.1844
16/16 [==============================] - 0s 4ms/step - loss: 6.1844
16/16 [==============================] - 0s 2ms/step - loss: 6.1844
16/16 [==============================] - 0s 3ms/step - loss: 6.1844
16/16 [==============================] - 0s 3ms/step - loss: 6.1844
16/16 [==============================] - 0s 2ms/step - loss: 6.1844
16/16 [==============================] - 0s 2ms/step - loss: 6.1844

Testing for epoch 58 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7828
16/16 [==============================] - 0s 3ms/step - loss: 6.1914
16/16 [==============================] - 0s 2ms/step - loss: 6.1914
16/16 [==============================] - 0s 2ms/step - loss: 6.1914
16/16 [==============================] - 0s 2ms/step - loss: 6.1914
16/16 [==============================] - 0s 2ms/step - loss: 6.1914
16/16 [==============================] - 0s 4ms/step - loss: 6.1914
16/16 [==============================] - 0s 2ms/step - loss: 6.1914
16/16 [==============================] - 0s 3ms/step - loss: 6.1914
16/16 [==============================] - 0s 3ms/step - loss: 6.1914

Testing for epoch 58 index 10:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7892
16/16 [==============================] - 0s 2ms/step - loss: 6.1951
16/16 [==============================] - 0s 2ms/step - loss: 6.1951
16/16 [==============================] - 0s 2ms/step - loss: 6.1951
16/16 [==============================] - 0s 2ms/step - loss: 6.1951
16/16 [==============================] - 0s 2ms/step - loss: 6.1951
16/16 [==============================] - 0s 1ms/step - loss: 6.1951
16/16 [==============================] - 0s 2ms/step - loss: 6.1951
16/16 [==============================] - 0s 2ms/step - loss: 6.1951
16/16 [==============================] - 0s 2ms/step - loss: 6.1951

Testing for epoch 58 index 11:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7931
16/16 [==============================] - 0s 3ms/step - loss: 6.1887
16/16 [==============================] - 0s 3ms/step - loss: 6.1887
16/16 [==============================] - 0s 2ms/step - loss: 6.1887
16/16 [==============================] - 0s 2ms/step - loss: 6.1887
16/16 [==============================] - 0s 2ms/step - loss: 6.1887
16/16 [==============================] - 0s 4ms/step - loss: 6.1887
16/16 [==============================] - 0s 3ms/step - loss: 6.1887
16/16 [==============================] - 0s 3ms/step - loss: 6.1887
16/16 [==============================] - 0s 3ms/step - loss: 6.1887

Testing for epoch 58 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7714
16/16 [==============================] - 0s 4ms/step - loss: 6.1558
16/16 [==============================] - 0s 4ms/step - loss: 6.1558
16/16 [==============================] - 0s 5ms/step - loss: 6.1558
16/16 [==============================] - 0s 5ms/step - loss: 6.1558
16/16 [==============================] - 0s 4ms/step - loss: 6.1558
16/16 [==============================] - 0s 3ms/step - loss: 6.1558
16/16 [==============================] - 0s 2ms/step - loss: 6.1558
16/16 [==============================] - 0s 2ms/step - loss: 6.1558
16/16 [==============================] - 0s 3ms/step - loss: 6.1558

Testing for epoch 58 index 13:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8035
16/16 [==============================] - 0s 5ms/step - loss: 6.1950
16/16 [==============================] - 0s 3ms/step - loss: 6.1950
16/16 [==============================] - 0s 1ms/step - loss: 6.1950
16/16 [==============================] - 0s 3ms/step - loss: 6.1950
16/16 [==============================] - 0s 1ms/step - loss: 6.1950
16/16 [==============================] - 0s 3ms/step - loss: 6.1950
16/16 [==============================] - 0s 3ms/step - loss: 6.1950
16/16 [==============================] - 0s 4ms/step - loss: 6.1950
16/16 [==============================] - 0s 2ms/step - loss: 6.1950

Testing for epoch 58 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7658
16/16 [==============================] - 0s 1ms/step - loss: 6.1398
16/16 [==============================] - 0s 2ms/step - loss: 6.1398
16/16 [==============================] - 0s 3ms/step - loss: 6.1398
16/16 [==============================] - 0s 2ms/step - loss: 6.1398
16/16 [==============================] - 0s 3ms/step - loss: 6.1398
16/16 [==============================] - 0s 3ms/step - loss: 6.1398
16/16 [==============================] - 0s 3ms/step - loss: 6.1398
16/16 [==============================] - 0s 3ms/step - loss: 6.1398
16/16 [==============================] - 0s 4ms/step - loss: 6.1398

Testing for epoch 58 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7787
16/16 [==============================] - 0s 2ms/step - loss: 6.1488
16/16 [==============================] - 0s 2ms/step - loss: 6.1488
16/16 [==============================] - 0s 4ms/step - loss: 6.1488
16/16 [==============================] - 0s 4ms/step - loss: 6.1488
16/16 [==============================] - 0s 3ms/step - loss: 6.1488
16/16 [==============================] - 0s 4ms/step - loss: 6.1488
16/16 [==============================] - 0s 3ms/step - loss: 6.1488
16/16 [==============================] - 0s 4ms/step - loss: 6.1488
16/16 [==============================] - 0s 2ms/step - loss: 6.1488

Testing for epoch 58 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.8230
16/16 [==============================] - 0s 3ms/step - loss: 6.2131
16/16 [==============================] - 0s 4ms/step - loss: 6.2131
16/16 [==============================] - 0s 3ms/step - loss: 6.2131
16/16 [==============================] - 0s 3ms/step - loss: 6.2131
16/16 [==============================] - 0s 2ms/step - loss: 6.2131
16/16 [==============================] - 0s 4ms/step - loss: 6.2131
16/16 [==============================] - 0s 2ms/step - loss: 6.2131
16/16 [==============================] - 0s 5ms/step - loss: 6.2131
16/16 [==============================] - 0s 2ms/step - loss: 6.2131

Testing for epoch 58 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.8126
16/16 [==============================] - 0s 5ms/step - loss: 6.1954
16/16 [==============================] - 0s 5ms/step - loss: 6.1954
16/16 [==============================] - 0s 5ms/step - loss: 6.1954
16/16 [==============================] - 0s 3ms/step - loss: 6.1954
16/16 [==============================] - 0s 2ms/step - loss: 6.1954
16/16 [==============================] - 0s 3ms/step - loss: 6.1954
16/16 [==============================] - 0s 4ms/step - loss: 6.1954
16/16 [==============================] - 0s 4ms/step - loss: 6.1954
16/16 [==============================] - 0s 2ms/step - loss: 6.1954

Testing for epoch 58 index 18:
391/391 [==============================] - 0s 991us/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8053
16/16 [==============================] - 0s 2ms/step - loss: 6.1876
16/16 [==============================] - 0s 2ms/step - loss: 6.1876
16/16 [==============================] - 0s 2ms/step - loss: 6.1876
16/16 [==============================] - 0s 2ms/step - loss: 6.1876
16/16 [==============================] - 0s 4ms/step - loss: 6.1876
16/16 [==============================] - 0s 3ms/step - loss: 6.1876
16/16 [==============================] - 0s 6ms/step - loss: 6.1876
16/16 [==============================] - 0s 2ms/step - loss: 6.1876
16/16 [==============================] - 0s 2ms/step - loss: 6.1876

Testing for epoch 58 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7872
16/16 [==============================] - 0s 3ms/step - loss: 6.1626
16/16 [==============================] - 0s 4ms/step - loss: 6.1626
16/16 [==============================] - 0s 2ms/step - loss: 6.1626
16/16 [==============================] - 0s 4ms/step - loss: 6.1626
16/16 [==============================] - 0s 8ms/step - loss: 6.1626
16/16 [==============================] - 0s 1ms/step - loss: 6.1626
16/16 [==============================] - 0s 2ms/step - loss: 6.1626
16/16 [==============================] - 0s 2ms/step - loss: 6.1626
16/16 [==============================] - 0s 3ms/step - loss: 6.1626

Testing for epoch 58 index 20:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 7ms/step - loss: 5.8049
16/16 [==============================] - 0s 4ms/step - loss: 6.1830
16/16 [==============================] - 0s 5ms/step - loss: 6.1830
16/16 [==============================] - 0s 3ms/step - loss: 6.1830
16/16 [==============================] - 0s 4ms/step - loss: 6.1830
16/16 [==============================] - 0s 3ms/step - loss: 6.1830
16/16 [==============================] - 0s 4ms/step - loss: 6.1830
16/16 [==============================] - 0s 2ms/step - loss: 6.1830
16/16 [==============================] - 0s 4ms/step - loss: 6.1830
16/16 [==============================] - 0s 2ms/step - loss: 6.1830

Testing for epoch 58 index 21:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7864
16/16 [==============================] - 0s 2ms/step - loss: 6.1591
16/16 [==============================] - 0s 4ms/step - loss: 6.1591
16/16 [==============================] - 0s 3ms/step - loss: 6.1591
16/16 [==============================] - 0s 2ms/step - loss: 6.1591
16/16 [==============================] - 0s 3ms/step - loss: 6.1591
16/16 [==============================] - 0s 1ms/step - loss: 6.1591
16/16 [==============================] - 0s 2ms/step - loss: 6.1591
16/16 [==============================] - 0s 3ms/step - loss: 6.1591
16/16 [==============================] - 0s 3ms/step - loss: 6.1591

Testing for epoch 58 index 22:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7984
16/16 [==============================] - 0s 3ms/step - loss: 6.1779
16/16 [==============================] - 0s 4ms/step - loss: 6.1779
16/16 [==============================] - 0s 4ms/step - loss: 6.1779
16/16 [==============================] - 0s 4ms/step - loss: 6.1779
16/16 [==============================] - 0s 3ms/step - loss: 6.1779
16/16 [==============================] - 0s 4ms/step - loss: 6.1779
16/16 [==============================] - 0s 2ms/step - loss: 6.1779
16/16 [==============================] - 0s 4ms/step - loss: 6.1779
16/16 [==============================] - 0s 4ms/step - loss: 6.1779

Testing for epoch 58 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7736
16/16 [==============================] - 0s 2ms/step - loss: 6.1496
16/16 [==============================] - 0s 3ms/step - loss: 6.1496
16/16 [==============================] - 0s 2ms/step - loss: 6.1496
16/16 [==============================] - 0s 3ms/step - loss: 6.1496
16/16 [==============================] - 0s 3ms/step - loss: 6.1496
16/16 [==============================] - 0s 2ms/step - loss: 6.1496
16/16 [==============================] - 0s 6ms/step - loss: 6.1496
16/16 [==============================] - 0s 7ms/step - loss: 6.1496
16/16 [==============================] - 0s 4ms/step - loss: 6.1496

Testing for epoch 58 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7900
16/16 [==============================] - 0s 2ms/step - loss: 6.1728
16/16 [==============================] - 0s 2ms/step - loss: 6.1728
16/16 [==============================] - 0s 3ms/step - loss: 6.1728
16/16 [==============================] - 0s 1ms/step - loss: 6.1728
16/16 [==============================] - 0s 2ms/step - loss: 6.1728
16/16 [==============================] - 0s 4ms/step - loss: 6.1728
16/16 [==============================] - 0s 7ms/step - loss: 6.1728
16/16 [==============================] - 0s 3ms/step - loss: 6.1728
16/16 [==============================] - 0s 4ms/step - loss: 6.1728
Epoch 59 of 60

Testing for epoch 59 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.8025
16/16 [==============================] - 0s 3ms/step - loss: 6.1818
16/16 [==============================] - 0s 5ms/step - loss: 6.1818
16/16 [==============================] - 0s 5ms/step - loss: 6.1818
16/16 [==============================] - 0s 3ms/step - loss: 6.1818
16/16 [==============================] - 0s 4ms/step - loss: 6.1818
16/16 [==============================] - 0s 2ms/step - loss: 6.1818
16/16 [==============================] - 0s 3ms/step - loss: 6.1818
16/16 [==============================] - 0s 4ms/step - loss: 6.1818
16/16 [==============================] - 0s 2ms/step - loss: 6.1818

Testing for epoch 59 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7787
16/16 [==============================] - 0s 2ms/step - loss: 6.1551
16/16 [==============================] - 0s 2ms/step - loss: 6.1551
16/16 [==============================] - 0s 4ms/step - loss: 6.1551
16/16 [==============================] - 0s 4ms/step - loss: 6.1551
16/16 [==============================] - 0s 2ms/step - loss: 6.1551
16/16 [==============================] - 0s 3ms/step - loss: 6.1551
16/16 [==============================] - 0s 2ms/step - loss: 6.1551
16/16 [==============================] - 0s 3ms/step - loss: 6.1551
16/16 [==============================] - 0s 2ms/step - loss: 6.1551

Testing for epoch 59 index 3:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7899
16/16 [==============================] - 0s 2ms/step - loss: 6.1723
16/16 [==============================] - 0s 3ms/step - loss: 6.1723
16/16 [==============================] - 0s 2ms/step - loss: 6.1723
16/16 [==============================] - 0s 2ms/step - loss: 6.1723
16/16 [==============================] - 0s 2ms/step - loss: 6.1723
16/16 [==============================] - 0s 2ms/step - loss: 6.1723
16/16 [==============================] - 0s 2ms/step - loss: 6.1723
16/16 [==============================] - 0s 2ms/step - loss: 6.1723
16/16 [==============================] - 0s 3ms/step - loss: 6.1723

Testing for epoch 59 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.7923
16/16 [==============================] - 0s 2ms/step - loss: 6.1784
16/16 [==============================] - 0s 2ms/step - loss: 6.1784
16/16 [==============================] - 0s 2ms/step - loss: 6.1784
16/16 [==============================] - 0s 3ms/step - loss: 6.1784
16/16 [==============================] - 0s 4ms/step - loss: 6.1784
16/16 [==============================] - 0s 2ms/step - loss: 6.1784
16/16 [==============================] - 0s 2ms/step - loss: 6.1784
16/16 [==============================] - 0s 3ms/step - loss: 6.1784
16/16 [==============================] - 0s 7ms/step - loss: 6.1784

Testing for epoch 59 index 5:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.7986
16/16 [==============================] - 0s 4ms/step - loss: 6.1909
16/16 [==============================] - 0s 3ms/step - loss: 6.1909
16/16 [==============================] - 0s 2ms/step - loss: 6.1909
16/16 [==============================] - 0s 3ms/step - loss: 6.1909
16/16 [==============================] - 0s 2ms/step - loss: 6.1909
16/16 [==============================] - 0s 4ms/step - loss: 6.1909
16/16 [==============================] - 0s 4ms/step - loss: 6.1909
16/16 [==============================] - 0s 4ms/step - loss: 6.1909
16/16 [==============================] - 0s 2ms/step - loss: 6.1909

Testing for epoch 59 index 6:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 5ms/step - loss: 5.7806
16/16 [==============================] - 0s 2ms/step - loss: 6.1659
16/16 [==============================] - 0s 3ms/step - loss: 6.1659
16/16 [==============================] - 0s 3ms/step - loss: 6.1659
16/16 [==============================] - 0s 2ms/step - loss: 6.1659
16/16 [==============================] - 0s 6ms/step - loss: 6.1659
16/16 [==============================] - 0s 3ms/step - loss: 6.1659
16/16 [==============================] - 0s 2ms/step - loss: 6.1659
16/16 [==============================] - 0s 2ms/step - loss: 6.1659
16/16 [==============================] - 0s 2ms/step - loss: 6.1659

Testing for epoch 59 index 7:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7783
16/16 [==============================] - 0s 3ms/step - loss: 6.1735
16/16 [==============================] - 0s 2ms/step - loss: 6.1735
16/16 [==============================] - 0s 4ms/step - loss: 6.1735
16/16 [==============================] - 0s 2ms/step - loss: 6.1735
16/16 [==============================] - 0s 4ms/step - loss: 6.1735
16/16 [==============================] - 0s 5ms/step - loss: 6.1735
16/16 [==============================] - 0s 2ms/step - loss: 6.1735
16/16 [==============================] - 0s 1ms/step - loss: 6.1735
16/16 [==============================] - 0s 2ms/step - loss: 6.1735

Testing for epoch 59 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.8060
16/16 [==============================] - 0s 3ms/step - loss: 6.2087
16/16 [==============================] - 0s 2ms/step - loss: 6.2087
16/16 [==============================] - 0s 6ms/step - loss: 6.2087
16/16 [==============================] - 0s 4ms/step - loss: 6.2087
16/16 [==============================] - 0s 5ms/step - loss: 6.2087
16/16 [==============================] - 0s 4ms/step - loss: 6.2087
16/16 [==============================] - 0s 4ms/step - loss: 6.2087
16/16 [==============================] - 0s 3ms/step - loss: 6.2087
16/16 [==============================] - 0s 3ms/step - loss: 6.2087

Testing for epoch 59 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7965
16/16 [==============================] - 0s 2ms/step - loss: 6.1988
16/16 [==============================] - 0s 3ms/step - loss: 6.1988
16/16 [==============================] - 0s 2ms/step - loss: 6.1988
16/16 [==============================] - 0s 2ms/step - loss: 6.1988
16/16 [==============================] - 0s 2ms/step - loss: 6.1988
16/16 [==============================] - 0s 3ms/step - loss: 6.1988
16/16 [==============================] - 0s 2ms/step - loss: 6.1988
16/16 [==============================] - 0s 2ms/step - loss: 6.1988
16/16 [==============================] - 0s 5ms/step - loss: 6.1988

Testing for epoch 59 index 10:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8183
16/16 [==============================] - 0s 3ms/step - loss: 6.2137
16/16 [==============================] - 0s 2ms/step - loss: 6.2137
16/16 [==============================] - 0s 4ms/step - loss: 6.2137
16/16 [==============================] - 0s 3ms/step - loss: 6.2137
16/16 [==============================] - 0s 5ms/step - loss: 6.2137
16/16 [==============================] - 0s 2ms/step - loss: 6.2137
16/16 [==============================] - 0s 5ms/step - loss: 6.2137
16/16 [==============================] - 0s 3ms/step - loss: 6.2137
16/16 [==============================] - 0s 2ms/step - loss: 6.2137

Testing for epoch 59 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8052
16/16 [==============================] - 0s 5ms/step - loss: 6.1917
16/16 [==============================] - 0s 3ms/step - loss: 6.1917
16/16 [==============================] - 0s 3ms/step - loss: 6.1917
16/16 [==============================] - 0s 1ms/step - loss: 6.1917
16/16 [==============================] - 0s 5ms/step - loss: 6.1917
16/16 [==============================] - 0s 4ms/step - loss: 6.1917
16/16 [==============================] - 0s 2ms/step - loss: 6.1917
16/16 [==============================] - 0s 4ms/step - loss: 6.1917
16/16 [==============================] - 0s 3ms/step - loss: 6.1917

Testing for epoch 59 index 12:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8149
16/16 [==============================] - 0s 3ms/step - loss: 6.2016
16/16 [==============================] - 0s 2ms/step - loss: 6.2016
16/16 [==============================] - 0s 2ms/step - loss: 6.2016
16/16 [==============================] - 0s 2ms/step - loss: 6.2016
16/16 [==============================] - 0s 4ms/step - loss: 6.2016
16/16 [==============================] - 0s 2ms/step - loss: 6.2016
16/16 [==============================] - 0s 3ms/step - loss: 6.2016
16/16 [==============================] - 0s 3ms/step - loss: 6.2016
16/16 [==============================] - 0s 2ms/step - loss: 6.2016

Testing for epoch 59 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.7928
16/16 [==============================] - 0s 5ms/step - loss: 6.1703
16/16 [==============================] - 0s 4ms/step - loss: 6.1703
16/16 [==============================] - 0s 2ms/step - loss: 6.1703
16/16 [==============================] - 0s 3ms/step - loss: 6.1703
16/16 [==============================] - 0s 3ms/step - loss: 6.1703
16/16 [==============================] - 0s 4ms/step - loss: 6.1703
16/16 [==============================] - 0s 4ms/step - loss: 6.1703
16/16 [==============================] - 0s 2ms/step - loss: 6.1703
16/16 [==============================] - 0s 1ms/step - loss: 6.1703

Testing for epoch 59 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.8316
16/16 [==============================] - 0s 3ms/step - loss: 6.2174
16/16 [==============================] - 0s 2ms/step - loss: 6.2174
16/16 [==============================] - 0s 3ms/step - loss: 6.2174
16/16 [==============================] - 0s 5ms/step - loss: 6.2174
16/16 [==============================] - 0s 2ms/step - loss: 6.2174
16/16 [==============================] - 0s 1ms/step - loss: 6.2174
16/16 [==============================] - 0s 2ms/step - loss: 6.2174
16/16 [==============================] - 0s 2ms/step - loss: 6.2174
16/16 [==============================] - 0s 2ms/step - loss: 6.2174

Testing for epoch 59 index 15:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8248
16/16 [==============================] - 0s 3ms/step - loss: 6.2088
16/16 [==============================] - 0s 2ms/step - loss: 6.2088
16/16 [==============================] - 0s 2ms/step - loss: 6.2088
16/16 [==============================] - 0s 3ms/step - loss: 6.2088
16/16 [==============================] - 0s 2ms/step - loss: 6.2088
16/16 [==============================] - 0s 2ms/step - loss: 6.2088
16/16 [==============================] - 0s 2ms/step - loss: 6.2088
16/16 [==============================] - 0s 3ms/step - loss: 6.2088
16/16 [==============================] - 0s 2ms/step - loss: 6.2088

Testing for epoch 59 index 16:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8226
16/16 [==============================] - 0s 4ms/step - loss: 6.2046
16/16 [==============================] - 0s 1ms/step - loss: 6.2046
16/16 [==============================] - 0s 4ms/step - loss: 6.2046
16/16 [==============================] - 0s 5ms/step - loss: 6.2046
16/16 [==============================] - 0s 5ms/step - loss: 6.2046
16/16 [==============================] - 0s 3ms/step - loss: 6.2046
16/16 [==============================] - 0s 2ms/step - loss: 6.2046
16/16 [==============================] - 0s 2ms/step - loss: 6.2046
16/16 [==============================] - 0s 4ms/step - loss: 6.2046

Testing for epoch 59 index 17:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8303
16/16 [==============================] - 0s 2ms/step - loss: 6.2069
16/16 [==============================] - 0s 3ms/step - loss: 6.2069
16/16 [==============================] - 0s 2ms/step - loss: 6.2069
16/16 [==============================] - 0s 6ms/step - loss: 6.2069
16/16 [==============================] - 0s 3ms/step - loss: 6.2069
16/16 [==============================] - 0s 3ms/step - loss: 6.2069
16/16 [==============================] - 0s 2ms/step - loss: 6.2069
16/16 [==============================] - 0s 2ms/step - loss: 6.2069
16/16 [==============================] - 0s 2ms/step - loss: 6.2069

Testing for epoch 59 index 18:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8205
16/16 [==============================] - 0s 2ms/step - loss: 6.1969
16/16 [==============================] - 0s 2ms/step - loss: 6.1969
16/16 [==============================] - 0s 4ms/step - loss: 6.1969
16/16 [==============================] - 0s 2ms/step - loss: 6.1969
16/16 [==============================] - 0s 3ms/step - loss: 6.1969
16/16 [==============================] - 0s 4ms/step - loss: 6.1969
16/16 [==============================] - 0s 3ms/step - loss: 6.1969
16/16 [==============================] - 0s 2ms/step - loss: 6.1969
16/16 [==============================] - 0s 2ms/step - loss: 6.1969

Testing for epoch 59 index 19:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8267
16/16 [==============================] - 0s 3ms/step - loss: 6.2054
16/16 [==============================] - 0s 3ms/step - loss: 6.2054
16/16 [==============================] - 0s 2ms/step - loss: 6.2054
16/16 [==============================] - 0s 2ms/step - loss: 6.2054
16/16 [==============================] - 0s 2ms/step - loss: 6.2054
16/16 [==============================] - 0s 2ms/step - loss: 6.2054
16/16 [==============================] - 0s 3ms/step - loss: 6.2054
16/16 [==============================] - 0s 3ms/step - loss: 6.2054
16/16 [==============================] - 0s 4ms/step - loss: 6.2054

Testing for epoch 59 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8259
16/16 [==============================] - 0s 2ms/step - loss: 6.2051
16/16 [==============================] - 0s 5ms/step - loss: 6.2051
16/16 [==============================] - 0s 7ms/step - loss: 6.2051
16/16 [==============================] - 0s 4ms/step - loss: 6.2051
16/16 [==============================] - 0s 2ms/step - loss: 6.2051
16/16 [==============================] - 0s 2ms/step - loss: 6.2051
16/16 [==============================] - 0s 2ms/step - loss: 6.2051
16/16 [==============================] - 0s 2ms/step - loss: 6.2051
16/16 [==============================] - 0s 3ms/step - loss: 6.2051

Testing for epoch 59 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8234
16/16 [==============================] - 0s 2ms/step - loss: 6.2032
16/16 [==============================] - 0s 2ms/step - loss: 6.2032
16/16 [==============================] - 0s 2ms/step - loss: 6.2032
16/16 [==============================] - 0s 4ms/step - loss: 6.2032
16/16 [==============================] - 0s 2ms/step - loss: 6.2032
16/16 [==============================] - 0s 2ms/step - loss: 6.2032
16/16 [==============================] - 0s 2ms/step - loss: 6.2032
16/16 [==============================] - 0s 3ms/step - loss: 6.2032
16/16 [==============================] - 0s 2ms/step - loss: 6.2032

Testing for epoch 59 index 22:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8204
16/16 [==============================] - 0s 2ms/step - loss: 6.1957
16/16 [==============================] - 0s 2ms/step - loss: 6.1957
16/16 [==============================] - 0s 2ms/step - loss: 6.1957
16/16 [==============================] - 0s 2ms/step - loss: 6.1957
16/16 [==============================] - 0s 2ms/step - loss: 6.1957
16/16 [==============================] - 0s 6ms/step - loss: 6.1957
16/16 [==============================] - 0s 2ms/step - loss: 6.1957
16/16 [==============================] - 0s 3ms/step - loss: 6.1957
16/16 [==============================] - 0s 2ms/step - loss: 6.1957

Testing for epoch 59 index 23:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8442
16/16 [==============================] - 0s 2ms/step - loss: 6.2273
16/16 [==============================] - 0s 4ms/step - loss: 6.2273
16/16 [==============================] - 0s 2ms/step - loss: 6.2273
16/16 [==============================] - 0s 3ms/step - loss: 6.2273
16/16 [==============================] - 0s 2ms/step - loss: 6.2273
16/16 [==============================] - 0s 2ms/step - loss: 6.2273
16/16 [==============================] - 0s 3ms/step - loss: 6.2273
16/16 [==============================] - 0s 2ms/step - loss: 6.2273
16/16 [==============================] - 0s 3ms/step - loss: 6.2273

Testing for epoch 59 index 24:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8401
16/16 [==============================] - 0s 2ms/step - loss: 6.2264
16/16 [==============================] - 0s 2ms/step - loss: 6.2264
16/16 [==============================] - 0s 1ms/step - loss: 6.2264
16/16 [==============================] - 0s 4ms/step - loss: 6.2264
16/16 [==============================] - 0s 5ms/step - loss: 6.2264
16/16 [==============================] - 0s 4ms/step - loss: 6.2264
16/16 [==============================] - 0s 6ms/step - loss: 6.2264
16/16 [==============================] - 0s 2ms/step - loss: 6.2264
16/16 [==============================] - 0s 2ms/step - loss: 6.2264
Epoch 60 of 60

Testing for epoch 60 index 1:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8312
16/16 [==============================] - 0s 3ms/step - loss: 6.2203
16/16 [==============================] - 0s 2ms/step - loss: 6.2203
16/16 [==============================] - 0s 3ms/step - loss: 6.2203
16/16 [==============================] - 0s 2ms/step - loss: 6.2203
16/16 [==============================] - 0s 2ms/step - loss: 6.2203
16/16 [==============================] - 0s 2ms/step - loss: 6.2203
16/16 [==============================] - 0s 6ms/step - loss: 6.2203
16/16 [==============================] - 0s 2ms/step - loss: 6.2203
16/16 [==============================] - 0s 2ms/step - loss: 6.2203

Testing for epoch 60 index 2:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8292
16/16 [==============================] - 0s 2ms/step - loss: 6.2106
16/16 [==============================] - 0s 2ms/step - loss: 6.2106
16/16 [==============================] - 0s 2ms/step - loss: 6.2106
16/16 [==============================] - 0s 2ms/step - loss: 6.2106
16/16 [==============================] - 0s 3ms/step - loss: 6.2106
16/16 [==============================] - 0s 4ms/step - loss: 6.2106
16/16 [==============================] - 0s 5ms/step - loss: 6.2106
16/16 [==============================] - 0s 2ms/step - loss: 6.2106
16/16 [==============================] - 0s 2ms/step - loss: 6.2106

Testing for epoch 60 index 3:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 4ms/step - loss: 5.8203
16/16 [==============================] - 0s 1ms/step - loss: 6.2086
16/16 [==============================] - 0s 2ms/step - loss: 6.2086
16/16 [==============================] - 0s 2ms/step - loss: 6.2086
16/16 [==============================] - 0s 2ms/step - loss: 6.2086
16/16 [==============================] - 0s 3ms/step - loss: 6.2086
16/16 [==============================] - 0s 2ms/step - loss: 6.2086
16/16 [==============================] - 0s 3ms/step - loss: 6.2086
16/16 [==============================] - 0s 1ms/step - loss: 6.2086
16/16 [==============================] - 0s 2ms/step - loss: 6.2086

Testing for epoch 60 index 4:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8274
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
16/16 [==============================] - 0s 3ms/step - loss: 6.2188
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
16/16 [==============================] - 0s 2ms/step - loss: 6.2188
16/16 [==============================] - 0s 2ms/step - loss: 6.2188

Testing for epoch 60 index 5:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8042
16/16 [==============================] - 0s 3ms/step - loss: 6.1900
16/16 [==============================] - 0s 1ms/step - loss: 6.1900
16/16 [==============================] - 0s 1ms/step - loss: 6.1900
16/16 [==============================] - 0s 1ms/step - loss: 6.1900
16/16 [==============================] - 0s 2ms/step - loss: 6.1900
16/16 [==============================] - 0s 4ms/step - loss: 6.1900
16/16 [==============================] - 0s 3ms/step - loss: 6.1900
16/16 [==============================] - 0s 1ms/step - loss: 6.1900
16/16 [==============================] - 0s 3ms/step - loss: 6.1900

Testing for epoch 60 index 6:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8135
16/16 [==============================] - 0s 2ms/step - loss: 6.2074
16/16 [==============================] - 0s 2ms/step - loss: 6.2074
16/16 [==============================] - 0s 2ms/step - loss: 6.2074
16/16 [==============================] - 0s 2ms/step - loss: 6.2074
16/16 [==============================] - 0s 2ms/step - loss: 6.2074
16/16 [==============================] - 0s 4ms/step - loss: 6.2074
16/16 [==============================] - 0s 2ms/step - loss: 6.2074
16/16 [==============================] - 0s 2ms/step - loss: 6.2074
16/16 [==============================] - 0s 2ms/step - loss: 6.2074

Testing for epoch 60 index 7:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8052
16/16 [==============================] - 0s 3ms/step - loss: 6.1953
16/16 [==============================] - 0s 2ms/step - loss: 6.1953
16/16 [==============================] - 0s 1ms/step - loss: 6.1953
16/16 [==============================] - 0s 2ms/step - loss: 6.1953
16/16 [==============================] - 0s 2ms/step - loss: 6.1953
16/16 [==============================] - 0s 2ms/step - loss: 6.1953
16/16 [==============================] - 0s 2ms/step - loss: 6.1953
16/16 [==============================] - 0s 2ms/step - loss: 6.1953
16/16 [==============================] - 0s 2ms/step - loss: 6.1953

Testing for epoch 60 index 8:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8263
16/16 [==============================] - 0s 1ms/step - loss: 6.2266
16/16 [==============================] - 0s 1ms/step - loss: 6.2266
16/16 [==============================] - 0s 2ms/step - loss: 6.2266
16/16 [==============================] - 0s 2ms/step - loss: 6.2266
16/16 [==============================] - 0s 2ms/step - loss: 6.2266
16/16 [==============================] - 0s 2ms/step - loss: 6.2266
16/16 [==============================] - 0s 1ms/step - loss: 6.2266
16/16 [==============================] - 0s 2ms/step - loss: 6.2266
16/16 [==============================] - 0s 2ms/step - loss: 6.2266

Testing for epoch 60 index 9:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8226
16/16 [==============================] - 0s 2ms/step - loss: 6.2225
16/16 [==============================] - 0s 2ms/step - loss: 6.2225
16/16 [==============================] - 0s 2ms/step - loss: 6.2225
16/16 [==============================] - 0s 2ms/step - loss: 6.2225
16/16 [==============================] - 0s 2ms/step - loss: 6.2225
16/16 [==============================] - 0s 5ms/step - loss: 6.2225
16/16 [==============================] - 0s 2ms/step - loss: 6.2225
16/16 [==============================] - 0s 3ms/step - loss: 6.2225
16/16 [==============================] - 0s 1ms/step - loss: 6.2225

Testing for epoch 60 index 10:
391/391 [==============================] - 0s 943us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8298
16/16 [==============================] - 0s 952us/step - loss: 6.2187
16/16 [==============================] - 0s 2ms/step - loss: 6.2187
16/16 [==============================] - 0s 2ms/step - loss: 6.2187
16/16 [==============================] - 0s 2ms/step - loss: 6.2187
16/16 [==============================] - 0s 3ms/step - loss: 6.2187
16/16 [==============================] - 0s 2ms/step - loss: 6.2187
16/16 [==============================] - 0s 2ms/step - loss: 6.2187
16/16 [==============================] - 0s 2ms/step - loss: 6.2187
16/16 [==============================] - 0s 2ms/step - loss: 6.2187

Testing for epoch 60 index 11:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8264
16/16 [==============================] - 0s 2ms/step - loss: 6.2142
16/16 [==============================] - 0s 2ms/step - loss: 6.2142
16/16 [==============================] - 0s 2ms/step - loss: 6.2142
16/16 [==============================] - 0s 2ms/step - loss: 6.2142
16/16 [==============================] - 0s 1ms/step - loss: 6.2142
16/16 [==============================] - 0s 2ms/step - loss: 6.2142
16/16 [==============================] - 0s 3ms/step - loss: 6.2142
16/16 [==============================] - 0s 2ms/step - loss: 6.2142
16/16 [==============================] - 0s 2ms/step - loss: 6.2142

Testing for epoch 60 index 12:
391/391 [==============================] - 0s 866us/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8023
16/16 [==============================] - 0s 1ms/step - loss: 6.1751
16/16 [==============================] - 0s 1ms/step - loss: 6.1751
16/16 [==============================] - 0s 2ms/step - loss: 6.1751
16/16 [==============================] - 0s 2ms/step - loss: 6.1751
16/16 [==============================] - 0s 1ms/step - loss: 6.1751
16/16 [==============================] - 0s 4ms/step - loss: 6.1751
16/16 [==============================] - 0s 2ms/step - loss: 6.1751
16/16 [==============================] - 0s 2ms/step - loss: 6.1751
16/16 [==============================] - 0s 2ms/step - loss: 6.1751

Testing for epoch 60 index 13:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8239
16/16 [==============================] - 0s 2ms/step - loss: 6.2066
16/16 [==============================] - 0s 1ms/step - loss: 6.2066
16/16 [==============================] - 0s 2ms/step - loss: 6.2066
16/16 [==============================] - 0s 2ms/step - loss: 6.2066
16/16 [==============================] - 0s 2ms/step - loss: 6.2066
16/16 [==============================] - 0s 2ms/step - loss: 6.2066
16/16 [==============================] - 0s 1ms/step - loss: 6.2066
16/16 [==============================] - 0s 2ms/step - loss: 6.2066
16/16 [==============================] - 0s 1ms/step - loss: 6.2066

Testing for epoch 60 index 14:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8473
16/16 [==============================] - 0s 2ms/step - loss: 6.2249
16/16 [==============================] - 0s 2ms/step - loss: 6.2249
16/16 [==============================] - 0s 3ms/step - loss: 6.2249
16/16 [==============================] - 0s 2ms/step - loss: 6.2249
16/16 [==============================] - 0s 2ms/step - loss: 6.2249
16/16 [==============================] - 0s 2ms/step - loss: 6.2249
16/16 [==============================] - 0s 1ms/step - loss: 6.2249
16/16 [==============================] - 0s 1ms/step - loss: 6.2249
16/16 [==============================] - 0s 2ms/step - loss: 6.2249

Testing for epoch 60 index 15:
391/391 [==============================] - 0s 932us/step
16/16 [==============================] - 0s 4ms/step - loss: 5.8627
16/16 [==============================] - 0s 3ms/step - loss: 6.2444
16/16 [==============================] - 0s 2ms/step - loss: 6.2444
16/16 [==============================] - 0s 2ms/step - loss: 6.2444
16/16 [==============================] - 0s 3ms/step - loss: 6.2444
16/16 [==============================] - 0s 2ms/step - loss: 6.2444
16/16 [==============================] - 0s 2ms/step - loss: 6.2444
16/16 [==============================] - 0s 2ms/step - loss: 6.2444
16/16 [==============================] - 0s 2ms/step - loss: 6.2444
16/16 [==============================] - 0s 3ms/step - loss: 6.2444

Testing for epoch 60 index 16:
391/391 [==============================] - 1s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8656
16/16 [==============================] - 0s 2ms/step - loss: 6.2497
16/16 [==============================] - 0s 2ms/step - loss: 6.2497
16/16 [==============================] - 0s 2ms/step - loss: 6.2497
16/16 [==============================] - 0s 3ms/step - loss: 6.2497
16/16 [==============================] - 0s 2ms/step - loss: 6.2497
16/16 [==============================] - 0s 2ms/step - loss: 6.2497
16/16 [==============================] - 0s 2ms/step - loss: 6.2497
16/16 [==============================] - 0s 2ms/step - loss: 6.2497
16/16 [==============================] - 0s 2ms/step - loss: 6.2497

Testing for epoch 60 index 17:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8683
16/16 [==============================] - 0s 2ms/step - loss: 6.2501
16/16 [==============================] - 0s 2ms/step - loss: 6.2501
16/16 [==============================] - 0s 2ms/step - loss: 6.2501
16/16 [==============================] - 0s 2ms/step - loss: 6.2501
16/16 [==============================] - 0s 2ms/step - loss: 6.2501
16/16 [==============================] - 0s 2ms/step - loss: 6.2501
16/16 [==============================] - 0s 2ms/step - loss: 6.2501
16/16 [==============================] - 0s 3ms/step - loss: 6.2501
16/16 [==============================] - 0s 1ms/step - loss: 6.2501

Testing for epoch 60 index 18:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8520
16/16 [==============================] - 0s 2ms/step - loss: 6.2268
16/16 [==============================] - 0s 2ms/step - loss: 6.2268
16/16 [==============================] - 0s 2ms/step - loss: 6.2268
16/16 [==============================] - 0s 2ms/step - loss: 6.2268
16/16 [==============================] - 0s 2ms/step - loss: 6.2268
16/16 [==============================] - 0s 2ms/step - loss: 6.2268
16/16 [==============================] - 0s 5ms/step - loss: 6.2268
16/16 [==============================] - 0s 2ms/step - loss: 6.2268
16/16 [==============================] - 0s 2ms/step - loss: 6.2268

Testing for epoch 60 index 19:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8601
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353
16/16 [==============================] - 0s 2ms/step - loss: 6.2353

Testing for epoch 60 index 20:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8609
16/16 [==============================] - 0s 2ms/step - loss: 6.2411
16/16 [==============================] - 0s 4ms/step - loss: 6.2411
16/16 [==============================] - 0s 2ms/step - loss: 6.2411
16/16 [==============================] - 0s 2ms/step - loss: 6.2411
16/16 [==============================] - 0s 3ms/step - loss: 6.2411
16/16 [==============================] - 0s 2ms/step - loss: 6.2411
16/16 [==============================] - 0s 2ms/step - loss: 6.2411
16/16 [==============================] - 0s 3ms/step - loss: 6.2411
16/16 [==============================] - 0s 3ms/step - loss: 6.2411

Testing for epoch 60 index 21:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8379
16/16 [==============================] - 0s 3ms/step - loss: 6.2103
16/16 [==============================] - 0s 2ms/step - loss: 6.2103
16/16 [==============================] - 0s 2ms/step - loss: 6.2103
16/16 [==============================] - 0s 2ms/step - loss: 6.2103
16/16 [==============================] - 0s 1ms/step - loss: 6.2103
16/16 [==============================] - 0s 2ms/step - loss: 6.2103
16/16 [==============================] - 0s 2ms/step - loss: 6.2103
16/16 [==============================] - 0s 1ms/step - loss: 6.2103
16/16 [==============================] - 0s 2ms/step - loss: 6.2103

Testing for epoch 60 index 22:
391/391 [==============================] - 0s 983us/step
16/16 [==============================] - 0s 2ms/step - loss: 5.8559
16/16 [==============================] - 0s 3ms/step - loss: 6.2324
16/16 [==============================] - 0s 1ms/step - loss: 6.2324
16/16 [==============================] - 0s 2ms/step - loss: 6.2324
16/16 [==============================] - 0s 2ms/step - loss: 6.2324
16/16 [==============================] - 0s 2ms/step - loss: 6.2324
16/16 [==============================] - 0s 2ms/step - loss: 6.2324
16/16 [==============================] - 0s 1ms/step - loss: 6.2324
16/16 [==============================] - 0s 2ms/step - loss: 6.2324
16/16 [==============================] - 0s 2ms/step - loss: 6.2324

Testing for epoch 60 index 23:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 1ms/step - loss: 5.8526
16/16 [==============================] - 0s 1ms/step - loss: 6.2272
16/16 [==============================] - 0s 3ms/step - loss: 6.2272
16/16 [==============================] - 0s 3ms/step - loss: 6.2272
16/16 [==============================] - 0s 3ms/step - loss: 6.2272
16/16 [==============================] - 0s 3ms/step - loss: 6.2272
16/16 [==============================] - 0s 3ms/step - loss: 6.2272
16/16 [==============================] - 0s 2ms/step - loss: 6.2272
16/16 [==============================] - 0s 2ms/step - loss: 6.2272
16/16 [==============================] - 0s 3ms/step - loss: 6.2272

Testing for epoch 60 index 24:
391/391 [==============================] - 0s 1ms/step
16/16 [==============================] - 0s 3ms/step - loss: 5.8551
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
16/16 [==============================] - 0s 1ms/step - loss: 6.2281
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
16/16 [==============================] - 0s 2ms/step - loss: 6.2281
391/391 [==============================] - 0s 1ms/step

MO_GAAL(contamination=0.05, k=10, lr_d=0.01, lr_g=0.0001, momentum=0.9,
    stop_epochs=20)

outlier_MO_GAAL_one = list(clf.labels_)

outlier_MO_GAAL_one = list(map(lambda x: 1 if x==0  else -1,outlier_MO_GAAL_one))

LSCP

detectors = [KNN(), LOF(), OCSVM()]
clf = LSCP(detectors,contamination=0.05, random_state=77)
clf.fit(_df[['Latitude','Longitude','Magnitude']])

/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/pyod/models/lscp.py:382: UserWarning: The number of histogram bins is greater than the number of classifiers, reducing n_bins to n_clf.
  warnings.warn(
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4098: PearsonRNearConstantInputWarning: An input array is nearly constant; the computed correlation coefficient may be inaccurate.
  warnings.warn(PearsonRNearConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())
/home/csy/anaconda3/envs/pygsp/lib/python3.10/site-packages/scipy/stats/_stats_py.py:4068: PearsonRConstantInputWarning: An input array is constant; the correlation coefficient is not defined.
  warnings.warn(PearsonRConstantInputWarning())

LSCP(contamination=0.05,
   detector_list=[KNN(algorithm='auto', contamination=0.1, leaf_size=30, method='largest',
  metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2,
  radius=1.0), LOF(algorithm='auto', contamination=0.1, leaf_size=30, metric='minkowski',
  metric_params=None, n_jobs=1, n_neighbors=20, novelty=True, p=2), OCSVM(cache_size=200, coef0=0.0, contamination=0.1, degree=3, gamma='auto',
   kernel='rbf', max_iter=-1, nu=0.5, shrinking=True, tol=0.001,
   verbose=False)],
   local_max_features=1.0, local_region_size=30, n_bins=3,
   random_state=RandomState(MT19937) at 0x7FC3E469C840)

outlier_LSCP_one = list(clf.labels_)

outlier_LSCP_one = list(map(lambda x: 1 if x==0  else -1,outlier_LSCP_one))

Result

_df_compa = pd.concat([_df,pd.DataFrame(_df['Residual']**2).rename(columns={'Residual':'rst'}),pd.DataFrame(outlier_simul_one),
          pd.DataFrame(lof_rst).rename(columns={0:'LOF'}),
          pd.DataFrame(outlier_KNN_one).rename(columns={0:'KNN'}),
          pd.DataFrame([outlier_CBLOF_one]).T.rename(columns={0:'CBLOF'}),             
          pd.DataFrame(outlier_OSVM_one).rename(columns={0:'OCSVM'}),
          pd.DataFrame(outlier_MCD_one).rename(columns={0:'MCD'}),
          pd.DataFrame(outlier_FeatureBagging_one).rename(columns={0:'Feature Bagging'}),
          pd.DataFrame(outlier_ABOD_one).rename(columns={0:'ABOD'}),
          pd.DataFrame(outlier_alibi_one).rename(columns={0:'IForest'}),
          pd.DataFrame(outlier_HBOS_one).rename(columns={0:'HBOS'}),
          pd.DataFrame(outlier_SOS_one).rename(columns={0:'SOS'}),
          pd.DataFrame(outlier_SO_GAAL_one).rename(columns={0:'SO_GAAL'}),
          pd.DataFrame(outlier_MO_GAAL_one).rename(columns={0:'MO_GAAL'}),
          pd.DataFrame(outlier_LSCP_one).rename(columns={0:'LSCP'})],axis=1).\
          rename(columns={'Latitude':'Latitude',
                          'Longitude':'Longitude',
                          'Magnitude':'Magnitude',
                          'Year':'Year',
                          'MagnitudeHat':'MagnitudeHat',
                          'Residual':'Residual',
                          'rst':'Anomalious Score',
                          0:'GODE',
                          'LOF':'LOF',
                         'KNN':'KNN',
                          'CBLOF':'CBLOF',
                         'OCSVM':'OCSVM',
                         'MCD':'MCD',
                         'Feature Bagging':'Feature Bagging',
                         'ABOD':'ABOD',
                         'IForest':'IForest',
                         'HBOS':'HBOS',
                         'SOS':'SOS',
                         'SO_GAAL':'SO_GAAL',
                         'MO_GAAL':'MO_GAAL',
                         'LSCP':'LSCP'});_df_compa

	Latitude	Longitude	Magnitude	Year	MagnitudeHat	Residual	Anomalious Score	GODE	LOF	KNN	...	OCSVM	MCD	Feature Bagging	ABOD	IForest	HBOS	SOS	SO_GAAL	MO_GAAL	LSCP
0	0.663	-26.045	5.5	2010.0	5.495343	0.004657	0.000022	1	1	1	...	1	1	1	1	1	1	1	1	1	1
1	-19.209	167.902	5.1	2010.0	5.210882	-0.110882	0.012295	1	1	1	...	1	1	1	1	1	1	1	1	1	1
2	-31.830	-178.135	5.0	2010.0	4.949355	0.050645	0.002565	1	1	1	...	-1	-1	1	1	-1	1	1	1	1	1
3	-19.984	168.353	5.0	2010.0	5.098854	-0.098854	0.009772	1	1	1	...	1	1	1	1	1	1	1	1	1	1
4	50.380	153.964	5.0	2010.0	5.047291	-0.047291	0.002236	1	1	1	...	1	1	1	-1	1	1	1	1	1	1
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
12493	-22.874	69.345	5.2	2010.0	4.944140	0.255860	0.065464	-1	1	1	...	1	1	1	1	1	1	1	1	1	1
12494	42.360	-30.462	5.0	2010.0	4.885803	0.114197	0.013041	1	1	1	...	1	1	1	-1	-1	1	1	1	1	1
12495	40.726	51.925	5.0	2010.0	4.853811	0.146189	0.021371	1	1	-1	...	1	1	1	1	-1	1	1	1	1	-1
12496	30.646	83.791	5.2	2010.0	5.446605	-0.246605	0.060814	-1	1	-1	...	1	1	1	1	1	1	1	1	1	1
12497	26.290	99.866	5.0	2010.0	5.098106	-0.098106	0.009625	1	1	1	...	1	1	1	1	1	1	1	1	1	1

12498 rows × 21 columns

Haiti

GODE, LOF, Feature Bagging, ABOD, IForest, HBOS

_df_compa[_df_compa['Latitude']==18.443] # Haiti(lat=18.4430, lon=-72.5710)

	Latitude	Longitude	Magnitude	Year	MagnitudeHat	Residual	Anomalious Score	GODE	LOF	KNN	...	OCSVM	MCD	Feature Bagging	ABOD	IForest	HBOS	SOS	SO_GAAL	MO_GAAL	LSCP
2326	18.443	-72.571	7.0	2010.0	6.687812	0.312188	0.097462	-1	-1	1	...	1	1	-1	-1	-1	-1	1	1	1	1
12429	18.443	-72.571	7.0	2010.0	6.574926	0.425074	0.180688	-1	-1	1	...	1	1	-1	-1	-1	-1	1	1	1	1

2 rows × 21 columns

Iquique

GODE, IForest, HBOS

_df_compa[_df_compa['Latitude']==-32.6953] # Iquique lat=-32.6953, lon=-71.4416

	Latitude	Longitude	Magnitude	Year	MagnitudeHat	Residual	Anomalious Score	GODE	LOF	KNN	...	OCSVM	MCD	Feature Bagging	ABOD	IForest	HBOS	SOS	SO_GAAL	MO_GAAL	LSCP
2997	-32.6953	-71.4416	6.4	2014.0	6.127151	0.272849	0.074446	-1	1	1	...	1	1	1	1	-1	-1	1	1	1	1

1 rows × 21 columns

Sichan

GODE, Feature Bagging, ABOD, IForest, HBOS, SOS

_df_compa[_df_compa['Latitude']==30.3080] # sichan(lat=30.3080, lon=102.8880)

	Latitude	Longitude	Magnitude	Year	MagnitudeHat	Residual	Anomalious Score	GODE	LOF	KNN	...	OCSVM	MCD	Feature Bagging	ABOD	IForest	HBOS	SOS	SO_GAAL	MO_GAAL	LSCP
5137	30.308	102.888	6.6	2013.0	5.892562	0.707438	0.500468	-1	1	1	...	1	1	-1	-1	-1	-1	-1	1	1	1

1 rows × 21 columns