Comments (2)
3D variants were not implemented, and we do not have any plans to bring additions or improvements to this repo. We didn't test with AMP (only available since pytorch 1.6), but I can't think of reasons why the operators won't work with AMP (you might want to try our th14
branch).
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@suhangpro tried PacConv2d with torch 1.11 using the code from th14
branch and I got errors during the backward method. Created a new issue for the same. Please take a look
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Related Issues (20)
- PacConv3d HOT 1
- Batch size HOT 1
- Reason for No ReLU HOT 1
- torch 1.4.0 cannot find type2backend HOT 12
- how to generate predictions using fcn8spac? HOT 10
- some basic questions HOT 3
- Debugging Error HOT 11
- Questions on using the CRF layer HOT 1
- JBU training error HOT 1
- Question about Transpose
- Pytorch 1.6 autocast HOT 2
- About "Native Implemention" HOT 6
- about the crf model HOT 3
- Reason for scaling mask input HOT 1
- PAC_CRF step setting question HOT 2
- autocast support HOT 1
- Error with pacconv: trying to differentiate twice a function that was marked with @once_differentiable
- A question about updating the weight of the kernel HOT 2
- About how to train a fcn8spac from scratch, thanks
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