abnormal output during training

[sitadivon]

Hi, I met a problem during training the network.

At train phase, due to opt.display_freq=1, at each step, 8 images are generated, where real_A, real_B, input_C, input_D should correspond to the input of the network. But I observed that they did not form a pair. See the 12th epoch output.
In this picture, real_A and real_B are obviously not the same person.

I have read the code carefully, but I can’t find the reason. Do you know why this happened?

[Ha0Tang]

How about the outputs of the 11th epoch?

[sitadivon]

Only current training epoch is abnormal. All the previous outputs are normal.

[Ha0Tang]

I think it should be ok since the visualization is a bit delayed.

[sitadivon]

Sure. I can get right result at the end of every epoch. Thank you!