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Jason Ansel 403db2faee [inductor] Refactor op handlers part 4 (#146255) 
This replaces the `__getattr__()` pattern used in remaining OpHandlers with a `DefaultHandler` class defined in part 2.

Some compile time wins from this as well:
```
2025-02-02T19:46:32.2033010Z
2025-02-02T19:46:32.2036607Z WIN: benchmark ('add_loop_inductor', 'compile_time_instruction_count') failed, actual result 29633182927 is -1.71% lower than expected 30150000000 ±1.50% please update the expected results.
2025-02-02T19:46:32.2037575Z
2025-02-02T19:46:32.2037907Z please update all results that changed significantly, and not only the failed ones
2025-02-02T19:46:32.2039291Z PASS: benchmark ('add_loop_inductor_dynamic_gpu', 'compile_time_instruction_count') pass, actual result 43986879172 -1.02% is within expected 44440000000 ±2.50%
2025-02-02T19:46:32.2040131Z
2025-02-02T19:46:32.2041180Z WIN: benchmark ('add_loop_inductor_gpu', 'compile_time_instruction_count') failed, actual result 26246225695 is -1.85% lower than expected 26740000000 ±1.50% please update the expected results.
2025-02-02T19:46:32.2042188Z
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146255
Approved by: https://github.com/shunting314
ghstack dependencies: #146252, #146254
2025-02-08 18:00:17 +00:00
..
distributed Revert "Use absolute path path.resolve() -> path.absolute() (#129409)" 2025-01-04 14:17:20 +00:00
dynamo [inductor] Refactor op handlers part 4 (#146255) 2025-02-08 18:00:17 +00:00
fastrnns PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
framework_overhead_benchmark Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
functional_autograd_benchmark PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
fuser Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
gpt_fast Fix broken gpt_fast micro benchmark after #144315 (#145235) 2025-01-21 17:42:24 +00:00
inference
instruction_counts PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
nested Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
operator_benchmark Additional operators in operator benchmark (#145625) 2025-01-26 19:20:02 +00:00
overrides_benchmark
profiler_benchmark Apply TorchFix TOR203 fixes (#143691) 2024-12-23 18:21:03 +00:00
record_function_benchmark
serialization Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
sparse Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
static_runtime Re-enable some C++ warnings (#142332) 2024-12-12 04:02:12 +00:00
tensorexpr [BE][CI] bump ruff to 0.8.4 (#143753) 2024-12-24 12:24:10 +00:00
transformer PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
compare-fastrnn-results.py
compare.sh
README.md
upload_scribe.py

README.md

PyTorch Benchmarks

This folder contains scripts that produce reproducible timings of various PyTorch features.

It also provides mechanisms to compare PyTorch with other frameworks.

Setup environment

Make sure you're on a machine with CUDA, torchvision, and pytorch installed. Install in the following order:

# Install torchvision. It comes with the pytorch stable release binary
conda install pytorch torchvision -c pytorch

# Install the latest pytorch master from source.
# It should supersede the installation from the release binary.
cd $PYTORCH_HOME
python setup.py build develop

# Check the pytorch installation version
python -c "import torch; print(torch.__version__)"

Benchmark List

Please refer to each subfolder to discover each benchmark suite. Links are provided where descriptions exist: