pytorch/tools
Joel Schlosser 43ea782af3 Multiprocessing support for NT (#110292)
Fixes #110161

Allows NTs to be used in DataLoaders with `num_workers > 1`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/110292
Approved by: https://github.com/cpuhrsch, https://github.com/albanD
2023-10-10 21:58:19 +00:00
..
alerts
amd_build Remove redundant change for gloo (#106750) 2023-09-26 03:46:14 +00:00
autograd Multiprocessing support for NT (#110292) 2023-10-10 21:58:19 +00:00
bazel_tools
build/bazel Bump urllib3 from 2.0.2 to 2.0.6 in /tools/build/bazel (#110421) 2023-10-03 07:13:28 -07:00
build_defs
code_analyzer
code_coverage
config
coverage_plugins_package
dynamo Move has_triton to top level triton utils so that dynamo can also access (#109832) 2023-09-22 19:33:41 +00:00
gdb
github
iwyu Revert "[1/N] Cleanup header inclusions in torch_cpu by iwyu (#101178)" 2023-09-25 20:05:25 +00:00
jit
linter [lintrunner] Capture mypy internal error (#109421) 2023-09-18 15:48:14 +00:00
lite_interpreter
lldb
onnx
pyi [AOTInductor] Implement autograd eager backend for native triton kernels (#110403) 2023-10-04 17:56:56 +00:00
rules
rules_cc
setup_helpers
shared
stats [ez] Remove print in heuristics aggregation (#110621) 2023-10-06 02:04:53 +00:00
test Add support for event_tracer in codegen layer (#109990) 2023-09-27 09:09:03 +00:00
testing [ez] Remove print in heuristics aggregation (#110621) 2023-10-06 02:04:53 +00:00
__init__.py
bazel.bzl
BUCK.bzl Use global variables to register the return_types namedtuples (#108832) 2023-09-13 17:42:46 +00:00
BUCK.oss
build_libtorch.py
build_pytorch_libs.py
download_mnist.py
extract_scripts.py
gen_flatbuffers.sh
gen_vulkan_spv.py Add torchgen path in gen_vulkan_spy (#108980) 2023-09-16 04:09:56 +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

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:

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: