pytorch

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History

Xuehai Pan 93a33bf3ac [BE] update type annotations for basic utilities in `torch/__init__.py` (#129001 ) Changes: 1. Make some arguments positional-only as we only support Python 3.8+ 2. Clean up `torch.typename(obj)` implementation. 3. Update type annotations., especially `is_tensor()` and `is_masked_tensor()` using `TypeGuard`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/129001 Approved by: https://github.com/malfet		2024-06-24 18:04:38 +00:00
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alerts
amd_build
autograd	Backward support for unbind() with NJT (#128032 )	2024-06-21 14:05:23 +00:00
bazel_tools
build/bazel	Bump urllib3 from 2.2.1 to 2.2.2 in /tools/build/bazel (#128908 )	2024-06-18 13:38:22 -07:00
build_defs
code_analyzer
code_coverage
config
coverage_plugins_package
dynamo
gdb
github
iwyu
jit
linter
lite_interpreter
lldb
onnx
pyi	[BE] update type annotations for basic utilities in `torch/__init__.py` (#129001 )	2024-06-24 18:04:38 +00:00
rules
rules_cc
setup_helpers	[Split Build]Use same package (#127934 )	2024-06-19 15:57:21 +00:00
shared
stats	Revert "[Port][Quant][Inductor] Bug fix: mutation nodes not handled correctly for QLinearPointwiseBinaryPT2E (#128591 )"	2024-06-14 15:51:00 +00:00
test
testing
__init__.py
bazel.bzl
BUCK.bzl
BUCK.oss
build_libtorch.py
build_pytorch_libs.py
build_with_debinfo.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:

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:

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.