pytorch/benchmarks/sparse
Edward Z. Yang dd3a77bc96 Apply UFMT to all files in benchmarks/ (#105928)
Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/105928
Approved by: https://github.com/albanD
2023-07-26 01:18:48 +00:00
..
dlmc Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +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 Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
README.md
spmm.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
spmv.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
test_csr.sh [BE] Prefer dash over underscore in command-line options (#94505) 2023-02-09 20:16:49 +00:00
utils.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +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.