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Aaron Gokaslan 2f95a3d0fc [BE]: Apply ruff PERF fixes to torch (#104917) 
Applies automated ruff fixes in the PERF modules and enables all automatic ones. I also updated ruff which applied some additional fixes.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/104917
Approved by: https://github.com/ezyang, https://github.com/albanD
2023-07-11 20:45:21 +00:00
..
alerts
amd_build
autograd [BE]: Apply ruff PERF fixes to torch (#104917) 2023-07-11 20:45:21 +00:00
bazel_tools
build/bazel
build_defs
code_analyzer
code_coverage
config
coverage_plugins_package
dynamo
gdb
github
iwyu
jit
linter [BE]: Apply ruff PERF fixes to torch (#104917) 2023-07-11 20:45:21 +00:00
lite_interpreter
lldb
onnx
pyi
rules
rules_cc
setup_helpers [CMake] Fix TORCH_CUDA_ARCH_LIST warning (#104680) 2023-07-07 15:12:54 +00:00
shared
stats Handle the list of skipped messages when uploading disabled test stats (#104803) 2023-07-08 07:23:46 +00:00
test
testing
__init__.py
bazel.bzl
BUCK.bzl
BUCK.oss
build_libtorch.py
build_pytorch_libs.py
download_mnist.py
extract_scripts.py
gen_flatbuffers.sh
gen_vulkan_spv.py
generate_torch_version.py
generated_dirs.txt
git_add_generated_dirs.sh
git_reset_generated_dirs.sh
nightly.py
nvcc_fix_deps.py
pytorch.version
README.md
render_junit.py
substitute.py
update_masked_docs.py
vscode_settings.py

README.md

This folder contains a number of scripts which are used as part of the PyTorch build process. This directory also doubles as a Python module hierarchy (thus the __init__.py).

Overview

Modern infrastructure:

  • autograd - Code generation for autograd. This includes definitions of all our derivatives.
  • jit - Code generation for JIT
  • shared - Generic infrastructure that scripts in tools may find useful.
    • module_loader.py - Makes it easier to import arbitrary Python files in a script, without having to add them to the PYTHONPATH first.

Build system pieces:

  • setup_helpers - Helper code for searching for third-party dependencies on the user system.
  • build_pytorch_libs.py - cross-platform script that builds all of the constituent libraries of PyTorch, but not the PyTorch Python extension itself.
  • build_libtorch.py - Script for building libtorch, a standalone C++ library without Python support. This build script is tested in CI.

Developer tools which you might find useful:

Important if you want to run on AMD GPU:

  • amd_build - HIPify scripts, for transpiling CUDA into AMD HIP. Right now, PyTorch and Caffe2 share logic for how to do this transpilation, but have separate entry-points for transpiling either PyTorch or Caffe2 code.
    • build_amd.py - Top-level entry point for HIPifying our codebase.

Tools which are only situationally useful: