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pytorch/benchmarks/sparse
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Aaron Gokaslan e738f7ba23 [BE]: Enable ruff rule SIM113 (#147290) 
Lint rules that tells the user to avoid keeping track of their own counter and use the builtin enumerate when possible.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/147290
Approved by: https://github.com/jansel
2025-02-16 22:41:16 +00:00
..
dlmc [BE]: Enable ruff rule SIM113 (#147290) 2025-02-16 22:41:16 +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

README.md

#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.