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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?
The text was updated successfully, but these errors were encountered:
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?
The text was updated successfully, but these errors were encountered: