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**Update!**
I have found the error is related to the input shape of the SW. When the input shape is NXCX1X1, the output of the SW will become NAN. The nn.BatchNorm can deal with NXCX1X1 correctly. …
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Hello,
I have been working on a project using a WAE with BatchNorm in the encoder and InstanceNorm in the decoder to have both representation/classification power for the encoder and the capacity o…
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hello,
Thank you for the great jobs and sharing it.I want to use encoder net with bn and decoder net with sn,but got the error "RuntimeError: one of the variables needed for gradient computati…
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Hello,
I am trying to use SwitchNorm instead of BatchNorm in my current project with pytorch v0.4.0.
I encounter two strange behaviors and I would like to know if I am the only one before starting…
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# NETWORK API REFACTORING - TO DO LIST
## [Design Docs](https://github.com/luomai/tensorlayer2-design/issues/7)
## [Refactoring Codes](https://github.com/zsdonghao/tensorlayer2)
Dear Contributo…
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Really great work!
I am wondering when it would be convenient for you to share the pretrained model with resnet-101.
Thanks!