mirror of
https://github.com/zebrajr/pytorch.git
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843cab3f2e
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/47002 There was no good reason for TypeDerived.h (CPUType.h) codegen to exist after static dispatch was deleted, and now that we have Math alias key TypeDefault.h header is not needed either. Sorry to anyone who was using these out of tree. I didn't entirely delete TypeDefault.h as it has a use in a file that I can't conveniently compile test locally. Will kill it entirely in a follow up. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Test Plan: Imported from OSS Reviewed By: albanD Differential Revision: D24596583 Pulled By: ezyang fbshipit-source-id: b5095d3509098ff74f836c5d0c272db0b2d226aa |
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| .. | ||
| amd_build | ||
| autograd | ||
| clang_format_hash | ||
| code_analyzer | ||
| code_coverage | ||
| codegen | ||
| config | ||
| docker | ||
| jit | ||
| pyi | ||
| rules | ||
| setup_helpers | ||
| shared | ||
| __init__.py | ||
| aten_mirror.sh | ||
| build_libtorch.py | ||
| build_pytorch_libs.py | ||
| build_variables.bzl | ||
| clang_format_all.py | ||
| clang_format_ci.sh | ||
| clang_format_utils.py | ||
| clang_tidy.py | ||
| download_mnist.py | ||
| flake8_hook.py | ||
| generate_torch_version.py | ||
| generated_dirs.txt | ||
| git_add_generated_dirs.sh | ||
| git_reset_generated_dirs.sh | ||
| git-clang-format | ||
| git-pre-commit | ||
| nightly.py | ||
| 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:
- clang_tidy.py - Script for running clang-tidy on lines of your script which you changed.
- git_add_generated_dirs.sh and git_reset_generated_dirs.sh - Use this to force add generated files to your Git index, so that you can conveniently run diffs on them when working on code-generation. (See also generated_dirs.txt which specifies the list of directories with generated files.)
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:
- aten_mirror.sh - Mirroring script responsible for keeping https://github.com/zdevito/ATen up-to-date.
- docker - Dockerfile for running (but not developing) PyTorch, using the official conda binary distribution. Context: https://github.com/pytorch/pytorch/issues/1619
- download_mnist.py - Download the MNIST dataset; this is necessary if you want to run the C++ API tests.
- run-clang-tidy-in-ci.sh - Responsible for checking that C++ code is clang-tidy clean in CI on Travis