Comments (1)
This repository currently does not support transformers officially. In another project, we do test the method for BERT. The "L2" strategy should work losslessly.
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Related Issues (20)
- Installing actnn with some errors HOT 3
- problem with torch._six on latest pytorch HOT 1
- [Feature] QDropout Implementation
- problem for unsuccessful compilation
- When I intalling actnn on ubuntu18.04, something wrong with it. HOT 3
- How to use it for GANs HOT 1
- A kind suggestion on the pytorch version. HOT 1
- There is something wrong with loss.backward() HOT 2
- How Actnn used in windows 10?
- How to build as wheel ?
- I used Actnn in Deeplab v3 plus ResNet50, and the it degrade the iou by %2 HOT 9
- Could you add some comments about Qcheme.py?
- How i can remove this package?
- Environment configuration is too difficult
- AttributeError: 'QModule' object has no attribute 'stride' HOT 1
- Does this work for any model with activation function as relu? HOT 4
- Cannot save memory during the FP HOT 3
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- the memory consume question HOT 3
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