pytorch/tools
2022-10-03 20:12:32 +00:00
..
amd_build
autograd Symintified all functions, not including factory functions (#86078) 2022-10-03 20:12:32 +00:00
bazel_tools
build_defs
code_analyzer
code_coverage
config
coverage_plugins_package
fast_nvcc
gdb
iwyu
jit
linter
lite_interpreter
lldb
onnx [ONNX] Initial version of diagnostics infrastructure. (#85107) 2022-09-30 07:47:26 +00:00
pyi Delete functorch's monkeypatching (#85430) 2022-09-22 18:47:12 +00:00
rules
setup_helpers [Mobile] Fix The Build For Model Tracer (#84755) 2022-09-09 18:22:24 +00:00
shared
stats
test fix external codegen kernel error checking (#85029) 2022-09-17 04:08:09 +00:00
testing parallelize at file granularity (#85770) 2022-10-03 16:59:39 +00:00
__init__.py
bazel.bzl
BUCK.bzl Add torch.nested namespace (#84102) 2022-09-12 16:31:05 +00:00
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
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 [maskedtensor] port torch/_masked into torch/masked (#85515) 2022-09-26 23:41:13 +00:00
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.
  • fast_nvcc - Mostly-transparent wrapper over nvcc that parallelizes compilation when used to build CUDA files for multiple architectures at once.
    • fast_nvcc.py - Python script, entrypoint to the fast nvcc wrapper.

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: