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Igor Sugak bce52d0b60 [CODEMOD][caffe2] use npt.NDArray instead of np.ndarray in type annotations (#136288) 
Summary:
To facilitate PSS-2 upgrade, this uses `ndt.NDArray` instead of `nd.ndarray` in type annotations. In Numpy-1.19 (PSS-1) it's an alias to `nd.ndarray` -- a noop.
In Numpy-1.24, `ndt.NDArray` a proper generic type, and without this change uses of `nd.ndarray` generate this Pyre type error:
```counterexample
 Invalid type parameters [24]: Generic type `np.ndarray` expects 2 type parameters.
```

Test Plan: Sandcastle plus visual inspection

Differential Revision: D62977370

Pull Request resolved: https://github.com/pytorch/pytorch/pull/136288
Approved by: https://github.com/kit1980
2024-09-19 12:40:36 +00:00
..
distributed [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
dynamo [CODEMOD][caffe2] use npt.NDArray instead of np.ndarray in type annotations (#136288) 2024-09-19 12:40:36 +00:00
fastrnns [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
framework_overhead_benchmark [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
functional_autograd_benchmark [BE][Easy] enable ruff rule PIE790: unnecessary pass statement (#133200) 2024-08-15 15:50:19 +00:00
fuser [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
gpt_fast [GPT-fast] Update compilation time target for Llama & Mixtral (#135817) 2024-09-12 07:13:44 +00:00
inference [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
instruction_counts Add instruction count benchmark to run on pull requests (#131475) 2024-08-12 05:20:26 +00:00
nested
operator_benchmark Fix out_tensor device in diag_test.py (#134020) 2024-08-21 20:43:39 +00:00
overrides_benchmark [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
profiler_benchmark [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
record_function_benchmark
serialization [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
sparse remove fast_flush arguments (#135387) 2024-09-13 08:13:46 +00:00
static_runtime
tensorexpr [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
transformer Add explicit GQA support. (#131559) 2024-08-09 21:25:35 +00:00
compare-fastrnn-results.py [BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754) 2024-07-17 14:34:42 +00:00
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: