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Summary: Splitting this PR into two, one for the cuSPARSELt improvements, and one for the inductor lowering. This PR adds in the additional cuSPARSELt bindings into pytorch. * `torch._cslt_sparse_mm_search` will be deprecated in a future PR, so a warning has been added * Added a header file for cuSPARSELtOps.cpp * max_id is now available in `torch.backends.cusparselt` via `torch.backends.cusparselt.get_max_alg_id()` * fixed meta registrations for float8 Test Plan: python test/test_sparse_semi_structured.py Reviewers: Subscribers: Tasks: Tags: Pull Request resolved: https://github.com/pytorch/pytorch/pull/137427 Approved by: https://github.com/cpuhrsch, https://github.com/eqy
#Sparse benchmarks
These sets of benchmarks are for the sparse matrix functionality. They exist for comparing the performance of sparse matrix routines such as SpMV between various sparse matrix formats and with other frameworks such as TensorFlow.