Comments (2)
caiyu6666
commented on August 20, 2024
I found that in the testing code (lib/model.py, line 175), the netowork is not turned into the evaluation mode (missing self.netg.eval() and self.netd.eval()). As a result, the model will update the mean and var in BatchNorm2d layers.
I think that is the reason why the testing results change in each testing time.
Additionally, I found that the missing of net.eval() will cause higher performance, as the model can learn something from the testing set. So I think this bug can lead to unconvincing results.
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tobybreckon
commented on August 20, 2024
See discussion under issue #83
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Related Issues (20)
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- how can i see the result of test?? HOT 1
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