pytorch

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History

Kurt Mohler d1bb8e828f Add deterministic path for CUDA `cumsum` (#136224 ) Change `cumsum` to call its decomposition when `use_deterministic_algorithms(True)` and input is CUDA. Fixes #89492 Pull Request resolved: https://github.com/pytorch/pytorch/pull/136224 Approved by: https://github.com/ezyang, https://github.com/justinchuby		2024-09-26 04:52:05 +00:00
..
alerts
amd_build	[reland][Inductor] Rename `cpp_wrapper_cuda.py` as `cpp_wrapper_gpu.py` (#136046 )	2024-09-16 14:35:19 +00:00
autograd	Revert "Add decomposition for permute_copy (#130944 )"	2024-09-17 13:42:55 +00:00
bazel_tools
build/bazel
build_defs
code_analyzer
code_coverage
config
coverage_plugins_package
dynamo
flight_recorder	[FR] Make OSS fr_trace function available for internal script and improve pg filtering (#136473 )	2024-09-24 02:34:43 +00:00
gdb
github
iwyu
jit
linter	[ONNX] Opt into ruff fmt (#134120 )	2024-08-22 22:44:03 +00:00
lite_interpreter
lldb
onnx
pyi	Add deterministic path for CUDA `cumsum` (#136224 )	2024-09-26 04:52:05 +00:00
rules
rules_cc
setup_helpers	[CMake] Remove BUILDING_WITH_TORCH_LIBS (#134434 )	2024-08-27 01:48:21 +00:00
shared
stats	deprecated datetime.utcnow() fix and _RendezvousJoinOp module initiation bug fix (#136141 )	2024-09-24 07:26:10 +00:00
test	[ET] codegen: bool array as array ref (#134886 )	2024-09-01 01:33:43 +00:00
testing	[CI] Fix update slow tests (#135390 )	2024-09-11 17:02:17 +00:00
__init__.py
bazel.bzl
BUCK.bzl
BUCK.oss
build_libtorch.py
build_pytorch_libs.py	Revert "Remove Caffe2 code from tool scripts (#134941 )"	2024-09-05 21:12:54 +00:00
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
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.