pytorch/benchmarks/sparse
2024-10-24 17:27:06 +00:00
..
dlmc [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
__init__.py
benchmark_semi_structured_sparsity.py Revert "[sparse] add search for optimal alg_id to torch.compile (#137427)" 2024-10-24 17:27:06 +00:00
README.md
spmm.py [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00
spmv.py
test_csr.sh
triton_ops.py remove fast_flush arguments (#135387) 2024-09-13 08:13:46 +00:00
utils.py [5/N][Easy] fix typo for usort config in pyproject.toml (kown -> known): sort torch (#127126) 2024-05-27 14:49:57 +00:00

#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.