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Don Jang a74516d699 [static runtime] implement aten::log (#61393) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/61393

Test Plan:
Added `StaticRuntime.IndividualOps_Log`

```
...
[ RUN      ] StaticRuntime.IndividualOps_Log
V0701 12:10:50.829100 3708165 impl.cpp:455] StaticModuleOptions: cleanup_activations 1, enable_out_variant 1, optimize_memory1, optimize_graph_output_memory0
V0701 12:10:50.888468 3708165 impl.cpp:1279] Switch to out variant for node: %3 : Tensor = aten::log(%inp.1)
V0701 12:10:50.889098 3708165 impl.cpp:1279] Switch to out variant for node: %a.1 : Tensor = aten::clone(%3, %2)
```

Reviewed By: hlu1

Differential Revision: D29511622

fbshipit-source-id: 819fd7d90c084609a060efeadb3015e35acac517
2021-07-08 18:25:35 -07:00
..
cpp [nnc] Get rid of fuser trigger counters (#57334) 2021-06-29 22:22:15 -07:00
distributed faster generate_square_subsequent_mask in nn.Transformer (#60631) 2021-06-25 16:07:01 -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 [Pytorch benchmark] Add BMM benchmark (#59595) 2021-06-10 08:24:29 -07:00
overrides_benchmark Remove legacy constructor calls from pytorch codebase. (#54142) 2021-04-11 15:45:17 -07:00
profiler_benchmark
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] implement aten::log (#61393) 2021-07-08 18:25:35 -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

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