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In the code, what are their meaning that LOWERED_CSRMM,LOWERED_CCNMM and DIRECT_SCONV?
In the process of making sparsification, whether you use existing library, example mkl on CPU and CUDA on GPU
The text was updated successfully, but these errors were encountered:
Here is the explanation. DIRECT_SCONV is deprecated in this branch and moved to https://github.com/IntelLabs/SkimCaffe. We used mkl sparse BLAS and CUDA cuSPARSE for sparse computation.
I don't quite understand your questions. The way you set group/block sizes depends on what kinds of structured sparsity you want to learn. After learning, some blocks/groups will be removed. Hope this answers your questions.
In the code, what are their meaning that LOWERED_CSRMM,LOWERED_CCNMM and DIRECT_SCONV?
In the process of making sparsification, whether you use existing library, example mkl on CPU and CUDA on GPU
The text was updated successfully, but these errors were encountered: