pytorch

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History

Nikita Shulga 2b57652278 Update requests to 2.32.2 (#126805 ) To address CVE-2024-35195 (though it does not really affect PyTorch, only CI) Pull Request resolved: https://github.com/pytorch/pytorch/pull/126805 Approved by: https://github.com/atalman, https://github.com/kit1980, https://github.com/seemethere, https://github.com/Skylion007		2024-05-23 00:21:28 +00:00
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alerts
amd_build
autograd	Support `dtype` kwarg in `_foreach_norm` (#125665 )	2024-05-22 20:27:50 +00:00
bazel_tools
build/bazel	Update requests to 2.32.2 (#126805 )	2024-05-23 00:21:28 +00:00
build_defs
code_analyzer	[BE]: TRY002 - Ban raising vanilla exceptions (#124570 )	2024-04-21 22:26:40 +00:00
code_coverage	[BE]: TRY002 - Ban raising vanilla exceptions (#124570 )	2024-04-21 22:26:40 +00:00
config
coverage_plugins_package
dynamo	[dynamo, 3.12] enable tests disabled due to missing dynamo 3.12 support (#123300 )	2024-04-05 20:13:17 +00:00
gdb
github
iwyu
jit
linter	[c10d] Reduce test time by reusing ProcessGroup (#125648 )	2024-05-08 22:33:40 +00:00
lite_interpreter
lldb
onnx
pyi	[doc] expose torch.Tensor.xpu API to doc (#126383 )	2024-05-17 01:19:03 +00:00
rules
rules_cc
setup_helpers	[Build] Add linker script optimization (#121975 )	2024-04-09 20:22:25 +00:00
shared
stats	[TD] Upload names of failures to s3 for pytest cache (#126315 )	2024-05-21 16:29:31 +00:00
test	[TD] Heuristic based on file path (#125477 )	2024-05-08 20:56:53 +00:00
testing	[TD] Upload names of failures to s3 for pytest cache (#126315 )	2024-05-21 16:29:31 +00:00
__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	[BE]: Update ruff to v0.4.4 (#125031 )	2024-05-12 20:02:37 +00:00
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.