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What do you mean by "shows large and small"? I suggest you start w/o the adversarial loss (e.g., use the generator with cross-entropy loss) to see if there are any bugs in the code. After running smoothly, you can move to the adversarial training.
After training, I saved the model parameters of NetS, and then the segmentation prediction is carried out with NetS model. Why is the result all Nan?
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