pytorch/tools
Brian Hirsh b5149513ec migrate export_caffe2_op_to_c10.h macros to the new dispatcher registration API, update code_analyzer regex (#48308)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/48308

The original regex that I added didn't correctly match namespaces that started with an underscore (e.g. `_test`), which caused a master-only test to fail.

The only change from the previous commit is that I updated the regex like so:

before: `^.*TORCH_LIBRARY_IMPL_init_([^_]+)_([^_]+)_[0-9]+(\(.*)?$`
after: `^.*TORCH_LIBRARY_IMPL_init_([_]*[^_]+)_([^_]+)_[0-9]+(\(.*)?$`

I added in a `[_]*` to the beginning of the namespace capture. I did the same for the `_FRAGMENT` regex.

Verified that running `ANALYZE_TEST=1 tools/code_analyzer/build.sh` (as the master-only test does) produces no diff in the output.

Fixing regex pattern to allow for underscores at the beginning of the
namespace

This reverts commit 3c936ecd3c.

Test Plan: Imported from OSS

Reviewed By: ezyang

Differential Revision: D25123295

Pulled By: bdhirsh

fbshipit-source-id: 54bd1e3f0c8e28145e736142ad62a18806bb9672
2020-11-30 13:05:33 -08:00
..
amd_build Remove __future__ imports for legacy Python2 supports (#45033) 2020-09-23 17:57:02 -07:00
autograd Added linalg.eigh, linalg.eigvalsh (#45526) 2020-11-22 04:57:28 -08:00
clang_format_hash
code_analyzer migrate export_caffe2_op_to_c10.h macros to the new dispatcher registration API, update code_analyzer regex (#48308) 2020-11-30 13:05:33 -08:00
code_coverage add lcov to oss for beautiful html report (#44568) 2020-09-11 15:29:24 -07:00
codegen [pytorch][codegen] add autograd data model (#48249) 2020-11-19 21:47:05 -08:00
config
docker
jit [pytorch] add script to run all codegen (#46243) 2020-10-29 22:55:12 -07:00
pyi [pytorch][codegen] gen_python_functions.py loading native_functions.yaml / deprecated.yaml directly (#47746) 2020-11-14 02:27:57 -08:00
rules remediation of S205607 2020-07-17 17:19:47 -07:00
setup_helpers Fix typos in comments (#48316) 2020-11-24 10:56:40 -08:00
shared Cleanup unused code for Python < 3.6 (#47822) 2020-11-13 21:37:01 -08:00
__init__.py remediation of S205607 2020-07-17 17:19:47 -07:00
aten_mirror.sh
build_libtorch.py Remove Incorrect Comment in tools/build_libtorch and remove Python2 support in the module import (#44888) 2020-09-18 10:03:36 -07:00
build_pytorch_libs.py Cleanup unused code for Python < 3.6 (#47822) 2020-11-13 21:37:01 -08:00
build_variables.bzl Use libkineto in profiler (#46470) 2020-11-25 04:32:16 -08:00
clang_format_all.py Replaced whitelist with allowlist (#45796) 2020-10-06 09:18:51 -07:00
clang_format_ci.sh Removed whitelist reference from tools/clang_format_ci.sh (#41636) 2020-07-21 12:32:14 -07:00
clang_format_utils.py
clang_tidy.py Remove __future__ imports for legacy Python2 supports (#45033) 2020-09-23 17:57:02 -07:00
download_mnist.py Remove Incorrect Comment in tools/build_libtorch and remove Python2 support in the module import (#44888) 2020-09-18 10:03:36 -07:00
flake8_hook.py
generate_torch_version.py Fix torch.version.debug generation (#47006) 2020-10-28 12:48:30 -07:00
generated_dirs.txt
git-clang-format
git-pre-commit [ONNX] Utilize ONNX shape inference for ONNX exporter (#40628) 2020-08-30 18:35:46 -07:00
git_add_generated_dirs.sh
git_reset_generated_dirs.sh
nightly.py Fix typos in comments (#48316) 2020-11-24 10:56:40 -08:00
pytorch.version
README.md
update_disabled_tests.sh

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.

Legacy infrastructure (we should kill this):

  • cwrap - Implementation of legacy code generation for THNN/THCUNN. This is used by nnwrap.

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: