I'm running example from TF site and getting different results from CPU and GPU.
Results from GPU are obviously wrong (second image).
Why?
If I'm executing code with with tf.device('/cpu:0') then the code works as expected, but slower.
It's sufficient to execute this lines on CPU to fix the issue:
with tf.device('/cpu:0'):
real_output = discriminator(images, training=True)
fake_output = discriminator(generated_images, training=True)
Source code:
https://www.tensorflow.org/tutorials/generative/dcgan
My complete results:
https://disk.yandex.ru/d/E-hU5dpffOmkLg
mpodzhigai
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