back to previous version: works for python 6

src/model.py

 import scipy.io as sio
 import numpy as np
 import tensorflow.python.keras.backend as K
-from tensorflow.python.keras.layers import Input, GlobalAveragePooling2D, Reshape
-from tensorflow.python.keras.layers.convolutional import Conv2D, ZeroPadding2D, MaxPooling2D, AveragePooling2D
-from tensorflow.keras.layers import BatchNormalization
-from tensorflow.python.keras.layers.core import Lambda, Activation
-from tensorflow.python.keras.models import Model
+#from tensorflow.python.keras.layers import Input, GlobalAveragePooling2D, Reshape
+#from tensorflow.python.keras.layers.convolutional import Conv2D, ZeroPadding2D, MaxPooling2D, AveragePooling2D
+#from tensorflow.keras.layers import BatchNormalization
+#from tensorflow.python.keras.layers.core import Lambda, Activation
+#from tensorflow.python.keras.models import Model
+
+import keras.backend as K
+from keras.layers import Input, GlobalAveragePooling2D, Reshape
+from keras.layers.convolutional import Conv2D, ZeroPadding2D, MaxPooling2D, AveragePooling2D
+from keras.layers import BatchNormalization
+from keras.layers.core import Lambda, Activation
+from keras.models import Model
 
 
 # Block of layers: Conv --> BatchNorm --> ReLU --> Pool