pytorch/benchmarks/sparse
2024-12-11 17:10:23 +00:00
..
dlmc Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
__init__.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +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 Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +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.