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Philip Meier 99203580a9 Updates internal assert_allclose callsites in favor of assert_close (#61841) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/61841

Redo of #60863.

Test Plan: Imported from OSS

Reviewed By: ngimel

Differential Revision: D30408145

Pulled By: mruberry

fbshipit-source-id: 0b34ebc7f23ba38ecd89640b61d8aca59b7eab58
2021-08-19 12:50:41 -07:00
..
cpp Updates internal assert_allclose callsites in favor of assert_close (#61841) 2021-08-19 12:50:41 -07:00
distributed [DDP Communication Hook] Update get_tensor and set_tensor to be cleaner naming conventions (buffer() and set_buffer()) (#62662) 2021-08-04 09:27:31 -07:00
fastrnns
framework_overhead_benchmark
functional_autograd_benchmark faster generate_square_subsequent_mask in nn.Transformer (#60631) 2021-06-25 16:07:01 -07:00
instruction_counts
operator_benchmark [quant] update FakeQuant modules to use tensor qparams (#61318) 2021-07-10 19:43:02 -07:00
overrides_benchmark
profiler_benchmark
record_function_benchmark
serialization
sparse
static_runtime [Static Runtime] Support __getitem__ for lists (#63398) 2021-08-19 06:38:51 -07:00
tensorexpr [nnc] Added micro-benchmark to show perf improvement with cat subgraph optimization (#59581) 2021-06-18 14:32:09 -07:00
compare-fastrnn-results.py
compare.sh
README.md
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