frozenleaves/pytorch
1
0
Fork 0
mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 21:14:14 +08:00
Code Issues Packages Projects Releases Wiki Activity
Files
6c4dc98b9db858970e5f75609257ec50a795fd0b
pytorch/benchmarks
History
Fabio Rocha 63115b70f0 Fixed issue with --diff-branch arg in dynamo benchmarks (#93989) 
As @peterbell10 pointed out, it was giving incorrect results for `compression_ratio`
and `compression_latency` when you used `--diff-branch`.

This fixes this by running a separate subprocess for each branch to make sure you are not being affected by run for other branch.

Also added a couple of more significant figures
to numbers in summary table.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/93989
Approved by: https://github.com/jansel
2023-02-03 08:36:57 +00:00
..
cpp
[NVFuser] Upstream push 1026 (#87779)
2022-11-04 20:04:34 +00:00
distributed
Remove python ddp (#91663)
2023-01-04 05:22:30 +00:00
dynamo
Fixed issue with --diff-branch arg in dynamo benchmarks (#93989)
2023-02-03 08:36:57 +00:00
fastrnns
[libkineto] Re-enable user-annotations in PyTorch (#75601)
2022-04-26 23:54:22 +00:00
framework_overhead_benchmark
Remove py2 compatible future imports (#44735)
2020-09-16 12:55:57 -07:00
functional_autograd_benchmark
Fix exception causes all over the codebase (#90271)
2022-12-07 04:29:00 +00:00
fuser
Benchmarks for various fusers (#67622)
2021-11-04 18:57:17 -07:00
instruction_counts
Fix typos under benchmarks, test, and tools directories (#87975)
2022-10-29 01:26:17 +00:00
nested
Use tensor cores for NT bmm (#86856)
2022-11-02 21:51:40 +00:00
operator_benchmark
[Op Benchmark] Add Pointwise Conv2d Op Benchmark (#91918)
2023-01-10 21:36:37 +00:00
overrides_benchmark
Use classmethods for overrides (#64841)
2021-09-17 08:32:49 -07:00
profiler_benchmark
Use libkineto in profiler (#46470)
2020-11-25 04:32:16 -08:00
record_function_benchmark
Fix D23995953 import.
2020-09-29 19:30:23 -07:00
serialization
[JIT] Make new zip serialization for torch save/load significantly (~70%) faster (#38379)
2020-05-29 01:56:18 -07:00
sparse
Add CSR (compressed sparse row) layout for sparse tensors (#50937)
2021-04-12 10:09:12 -07:00
static_runtime
[BE] Tweak Meta copyright headers (#90805)
2022-12-14 20:30:31 +00:00
tensorexpr
Fix some typos.
2022-04-11 21:55:59 +00:00
transformer
[SDPA] Update SDPA API and make function Public (#92189)
2023-01-23 20:50:46 +00:00
compare-fastrnn-results.py
Benchmarks: add scripts for FastRNNs results comparison. (#44134)
2020-09-03 13:44:42 -07:00
compare.sh
Benchmarks: add scripts for FastRNNs results comparison. (#44134)
2020-09-03 13:44:42 -07:00
README.md
Add CSR (compressed sparse row) layout for sparse tensors (#50937)
2021-04-12 10:09:12 -07:00
upload_scribe.py
Fix benchmark's import module and remove its usage of tools.stats.scribe (#61808)
2021-07-19 09:45:05 -07:00

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