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Kimish Patel cda9e995e2 Benchmark repeat op. (#20016 )

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20016

PT's repeat op benchmark

Reviewed By: zheng-xq

Differential Revision: D15166941

fbshipit-source-id: b1ed7af790460456210b60bfb4e44a08657e9612

2019-05-20 07:34:54 -07:00

ops

Benchmark repeat op. (#20016 )

2019-05-20 07:34:54 -07:00

__init__.py

Operator-level performance microbenchmarks (#18740 )

2019-04-02 17:06:19 -07:00

batchnorm_benchmark.py

Add a fast path for batch-norm CPU inference. (#19152 )

2019-04-16 19:27:54 -07:00

benchmark_caffe2.py

Fix op benchmarks error in OSS environment (#19518 )

2019-04-19 16:25:16 -07:00

benchmark_core.py

Initialize Caffe2 only when running Caffe2 benchmarks (#19980 )

2019-05-06 19:17:23 -07:00

benchmark_pytorch.py

Intra-op parallel microbenchmarks for PT (#19997 )

2019-05-06 20:21:45 -07:00

benchmark_runner.py

Initialize Caffe2 only when running Caffe2 benchmarks (#19980 )

2019-05-06 19:17:23 -07:00

benchmark_test_generator.py

Fix in benchmark_test_generator (#20237 )

2019-05-07 17:03:25 -07:00

benchmark_utils.py

Intra-op parallel microbenchmarks for PT (#19997 )

2019-05-06 20:21:45 -07:00

README.md

Fix op benchmarks error in OSS environment (#19518 )

2019-04-19 16:25:16 -07:00

README.md

PyTorch/Caffe2 Operator Micro-benchmarks

Run benchmarks

Go to pytorch-src-folder/benchmarks python -m operator_benchmark.ops.matmul_test

should report the execution time of matmul operator with PyTorch and Caffe2