mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 21:14:14 +08:00

Files

Jez Ng b346e99376 remove fast_flush arguments (#135387 )

I've removed them from upstream Triton in https://github.com/triton-lang/triton/pull/4485. It looks like most places in the code use the default value of `fast_flush=True` anyway, though there are two PRs from @pearu that use `False`. To my knowledge, there's no reason to use the `False` value.

Differential Revision: [D62325778](https://our.internmc.facebook.com/intern/diff/D62325778)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/135387
Approved by: https://github.com/nmacchioni, https://github.com/jansel

2024-09-13 08:13:46 +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

[export] ignore mark_dynamic() in export (#135536 )

2024-09-12 21:22:19 +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

Apply UFMT to all files in benchmarks/ (#105928 )

2023-07-26 01:18:48 +00:00

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

[Caffe2]Remove Caffe2 scripts and benchmarks (#126747 )

2024-06-05 23:46:31 +00:00

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

[9/N] Replace c10::optional with std::optional (#130674 )

2024-07-15 00:48:43 +00:00

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

Benchmarks: add scripts for FastRNNs results comparison. (#44134 )

2020-09-03 13:44:42 -07:00

README.md

Add more child links to benchmark readme (#104627 )

2023-07-06 12:11:00 +00:00

upload_scribe.py

Apply UFMT to all files in benchmarks/ (#105928 )

2023-07-26 01:18:48 +00:00

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: