How do you fix the gap between tensorflow and pytorch?

Tramac / awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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How do you fix the gap between tensorflow and pytorch? #185

Open dongyang-cs opened 2 years ago

dongyang-cs commented 2 years ago

I face the same performance gap between pytorch and tensorflow and have no ideas to fix the problem. Ho did you solve the problem ?