mirror of
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move benchmarking out of `torch._inductor.runtime.runtime_utils` and into `torch._inductor.runtime.benchmarking`, and prefer this path over directly accessing Triton's benchmarking Fixes #ISSUE_NUMBER Pull Request resolved: https://github.com/pytorch/pytorch/pull/132827 Approved by: https://github.com/eellison |
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| dlmc | ||
| __init__.py | ||
| benchmark_semi_structured_sparsity.py | ||
| README.md | ||
| spmm.py | ||
| spmv.py | ||
| test_csr.sh | ||
| triton_ops.py | ||
| utils.py | ||
#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.