UGATIT-pytorch
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Different setting of bias
Hi, here is another issue that, the TF version of UGATIT has bias
in most of the layers (including Linear and Conv), but the torch version has no bias
at all.
Just wondering, if there is any difference?
I have the same question.
When we use BN layer after Conv or FC layer, the bias will be ignored.
Well, there are plants of layers without BN in UGATIT like the CAM module. Anyway, to reproduce the TF version's result, this repo should be "fixed" in many details.