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Akshay Parashar 38169c2287 [Static Runtime] Fix precision error in test cases (#80935) 
Summary:
- Test cases related to DeepAndWideSciptModel() was crashing at random due to precision issue
- test cases related for precision: DeepWide, KWargsAPI_1, KWargsAPI_2, KWargsAPI_Optional, FusionPass
- test failure was not observed always due to random input to the model (via torch::randn)
- Increasing the absolute tolerance for test cases

Differential Revision: D37639067

Pull Request resolved: https://github.com/pytorch/pytorch/pull/80935
Approved by: https://github.com/mikeiovine
2022-07-06 16:31:18 +00:00
..
cpp
[nvfuser_upstream_push] Reland: nvfuser code base bump 060822 (#79406)
2022-06-16 17:52:21 +00:00
distributed
Fix some typos.
2022-04-11 21:55:59 +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
Added functorch to functional_autograd_benchmark
2022-04-22 14:04:26 +00:00
fuser
Benchmarks for various fusers (#67622)
2021-11-04 18:57:17 -07:00
instruction_counts
[lint] upgrade mypy to latest version
2022-05-03 20:51:34 +00:00
operator_benchmark
[TorchArrow][AIBench] Add AIBench Metrics for TorchArrow Inference Benchmark Test (#75035)
2022-04-01 00:35:42 +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
[Static Runtime] Fix precision error in test cases (#80935)
2022-07-06 16:31:18 +00:00
tensorexpr
Fix some typos.
2022-04-11 21:55:59 +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