pytorch/benchmarks/sparse
2024-11-26 08:01:24 +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 Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
benchmark_semi_structured_sparsity.py Revert "[sparse] add extra options to _cslt_spare_mm (#137427)" 2024-11-26 08:01:24 +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 Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
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.