Comments (2)
It seems to be the problem with PyTorch version later than 1.8.0. These abstract methods are fine without implementation in PyTorch 1.7.1 and before. A quick solution would be to implement the abstract methods to return None, since they are not used in the current version. We will update the code to fit for later versions soon.
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Thank you so much. We have solved this problem according your instructions.~
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Related Issues (15)
- code release HOT 2
- some questions about flops and inference time HOT 1
- TAdaConvNeXt-T HOT 3
- Frame description and temporal modeling HOT 1
- Applying TadaConv HOT 1
- Batch-wise and Temporal-wise modeling HOT 1
- I am curious about why the flops and parms of TAdaConvNeXt-T is one half of the ResNet50's, to my knowledge they should be similar. HOT 2
- apply AdaConv to P3D or SlowFast HOT 1
- EPIC-KITCHENS Action Features HOT 2
- Some questions on using _decode_image rather than _decode_video HOT 2
- Problems on loading imagenet weight HOT 1
- features HOT 2
- Use TAdaConv in Video Object Detection? HOT 1
- How to use R(2+1)D with TAda? HOT 1
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