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In train_discriminator, there is a confusion with the input.
For example: fake_images = generator.predict(real_images_A)
The generator always gets real_images_A even if its a generator_B which is supposed to get real_images_B
Also later: pred_real = discriminator(real_images_B)
but if a discriminator_A its supposed to get real_images_A
Also, like in #20 the generator is supposed to be called with training=True
The text was updated successfully, but these errors were encountered:
In train_discriminator, there is a confusion with the input.
For example:
fake_images = generator.predict(real_images_A)
The generator always gets real_images_A even if its a generator_B which is supposed to get real_images_B
Also later:
pred_real = discriminator(real_images_B)
but if a discriminator_A its supposed to get real_images_A
Also, like in #20 the generator is supposed to be called with
training=True
The text was updated successfully, but these errors were encountered: