In the sampled code for the keras implementation in the generator there is the batchnormalization step that it is coded as follow:
e1 = BatchNormalization(mode=2)(e1)
However, when the mode = 2 then there is an emerging error from keras. I noticed that when i set the mode=0 the whole thing is working. However, what it the difference between mode=2 and mode =0. And if it is crucial difference how can I have mode = 2. I guess that error has to do with the keras version (I am using keras 2.1.5).
In the sampled code for the keras implementation in the generator there is the batchnormalization step that it is coded as follow:
e1 = BatchNormalization(mode=2)(e1)However, when the mode = 2 then there is an emerging error from keras. I noticed that when i set the mode=0 the whole thing is working. However, what it the difference between mode=2 and mode =0. And if it is crucial difference how can I have mode = 2. I guess that error has to do with the keras version (I am using keras 2.1.5).