about the "is_training" argument...
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johnnyasd12 commented
Hi, I wonder how is is_training argument work? In the code, it seems it's for setting batch_norm layer behavior, but after training, if I need to generate image with is_training=False, then it generate bad results....
It's weird that if I set is_training = True then I can get better results.
UPDATE: the generated result will be bad when i only reconstruct one image when is_training = True, if i reconstruct many images (say 100 images) then it will be better result.
Did I misunderstand something?
Thank you!