[QST] Modify how to load Activations and Filters
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Description
What is your question?
Hello, I’ve read the post about how convolution is implemented in CUTLASS. My idea is to create a custom convolution kernel, not by modifying the operation itself, but by applying transformations to the filters before operating.
My goal would be to do this when loading the filters and make it so in a parallel way. Is this possible in CUTLASS? Can it be achieved using an example from the /examples directory, or would internal code modifications be required?
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- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
Start with the implicit GEMM convolution documentation and the linked conv2d_fprop_filter_tile_access_iterator_optimized.h implementation. Review the /examples directory to determine whether filter transformations during loading are supported there; done means establishing whether an example can demonstrate this or whether internal CUTLASS changes are required.
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Assessment
- Tech stack
- cpp
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100