pytorch

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History

cdzhan 99554112d3 [pytorch] add namespace for optTypeMetaToScalarType in codegen to avoid not declared when compile (#115623 ) Fixes compilation failure in some environment. Pull Request resolved: https://github.com/pytorch/pytorch/pull/115623 Approved by: https://github.com/albanD		2023-12-13 00:59:01 +00:00
..
alerts
amd_build	[ROCm] Add ROCm AMDGPU support for inductor cpp codegen (#105141 )	2023-11-29 15:11:24 +00:00
autograd	[pytorch] add namespace for optTypeMetaToScalarType in codegen to avoid not declared when compile (#115623 )	2023-12-13 00:59:01 +00:00
bazel_tools
build/bazel
build_defs
code_analyzer
code_coverage
config
coverage_plugins_package
dynamo
gdb
github
iwyu	[2/N] Cleanup header inclusions in torch_cpu by iwyu (#109964 )	2023-11-19 20:56:32 +00:00
jit
linter	[BE] Bye bye, CircleCI (#115701 )	2023-12-13 00:26:49 +00:00
lite_interpreter
lldb
onnx	[torch/csrc/onnx] Use nested namespaces (3/N) (#113993 )	2023-11-18 00:20:19 +00:00
pyi	AOTAutograd: keep input mutations in the graph if they are under no_grad, even if they require_grad (#114646 )	2023-11-29 04:29:32 +00:00
rules
rules_cc
setup_helpers
shared
stats	[td] Consistent pytest cache (#113804 )	2023-11-17 23:45:47 +00:00
test	[torchgen] Add logic in custom ops to return empty tensor (#114143 )	2023-12-08 17:03:44 +00:00
testing	[BE]: ruff FURB136: replace ternary with min/max (preview) (#114382 )	2023-11-22 22:10:01 +00:00
__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	Enable import following in MYPYNOFOLLOW (now MYPYINDUCTOR) (#113830 )	2023-11-17 18:24:21 +00:00
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.