saymrwulf/pytorch
1
0
Fork 0
mirror of https://github.com/saymrwulf/pytorch.git synced 2026-05-15 21:00:47 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
pytorch/benchmarks
History
Ray Peng 09e610e36d [Static Runtime] Out version for softmax (#64243) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/64243

Test Plan:
```
> buck run //caffe2/benchmarks/static_runtime:static_runtime_cpptest -- --v=1
...
V0830 16:35:22.524479 613839 impl.cpp:1410] Switch to out variant for node: %5 : Tensor = aten::softmax(%a.1, %dim.1, %dtype.1)
...
[       OK ] StaticRuntime.IndividualOps_Softmax (803 ms)
```

Reviewed By: hlu1

Differential Revision: D30656149

fbshipit-source-id: 115b7b4a75448fd6a5c526808080ca9a4251302c
2021-08-31 18:33:26 -07:00
..
cpp [MicroBench] Added a micro benchmark for a signed log1p kernel. (#64032) 2021-08-30 09:27:51 -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 Add lint for unqualified noqa (#56272) 2021-04-19 13:16:18 -07:00
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 Allow instruction counting to use shared memory as a staging ground. (And a couple other tweaks.) (#56711) 2021-05-12 20:37:41 -07:00
operator_benchmark Microbenchmarking matrix mult (einsum, torch.mult, torch.mm) (#63654) 2021-08-24 16:26:26 -07:00
overrides_benchmark Remove legacy constructor calls from pytorch codebase. (#54142) 2021-04-11 15:45:17 -07:00
profiler_benchmark Use libkineto in profiler (#46470) 2020-11-25 04:32:16 -08:00
record_function_benchmark
serialization
sparse Add CSR (compressed sparse row) layout for sparse tensors (#50937) 2021-04-12 10:09:12 -07:00
static_runtime [Static Runtime] Out version for softmax (#64243) 2021-08-31 18:33:26 -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 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