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Edward Z. Yang dc1c0924ec Properly parenthesize dynamo_dynamic_indices test (#99823) 
I've got the E2E test case which triggered this in https://github.com/pytorch/pytorch/pull/99809

Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/99823
Approved by: https://github.com/voznesenskym
2023-04-23 22:41:34 +00:00
..
cpp moving nvfuser benchmark to third_party/nvfuser (#96725) 2023-03-21 23:19:15 +00:00
distributed [BE]: Update flake8 and plugins and fix bugs (#97795) 2023-03-28 23:51:55 +00:00
dynamo Properly parenthesize dynamo_dynamic_indices test (#99823) 2023-04-23 22:41:34 +00:00
fastrnns [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 2023-02-11 18:19:48 +00:00
framework_overhead_benchmark [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 2023-02-11 18:19:48 +00:00
functional_autograd_benchmark [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 2023-02-11 18:19:48 +00:00
fuser
instruction_counts
nested
operator_benchmark [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 2023-02-11 18:19:48 +00:00
overrides_benchmark
profiler_benchmark
record_function_benchmark
serialization [PyTorch] Add annotation_str benchmark (#96496) 2023-03-23 04:18:07 +00:00
sparse [BE] Enable flake8-comprehension rule C417 (#97880) 2023-03-30 14:34:24 +00:00
static_runtime Fix flaky StaticRuntime.Nonzero test (#94418) 2023-02-16 21:25:15 +00:00
tensorexpr Fix usages of contextmanager without finally (#96170) 2023-03-08 20:59:27 +00:00
transformer
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