Comments (2)
Hi, our cuda kernel is 10 times faster compared to torch functions. However, since the shift operation is only a small part of the network forward pass, the overall improvements is not big. I think the throughput can be increase by 10% (don't remember the exact number).
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👌thanks
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Related Issues (19)
- Errror when using train_asmlp_b.sh HOT 3
- 数据集问题
- 环境问题 HOT 1
- Reproduce the accuracy in paper HOT 4
- Please add paper link as well. HOT 1
- how can I use this code do image segmentation HOT 1
- Semantic Segmentation? HOT 1
- Can you provide .so compiling setting? HOT 5
- Training strategy on Imagenet HOT 2
- Question on the Shift CUDA implementation. HOT 2
- 论文内容问题 HOT 1
- Welcome update to OpenMMLab 2.0
- Error when using --cache-mode part HOT 9
- Opinion for Fast PatchMerging Layer HOT 2
- Some questions about the code HOT 2
- Credit to involution HOT 2
- 代码问题 HOT 1
- 运行问题 HOT 2
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