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Kurt Mohler ee28b865ee Deprecate TypedStorage, its derived classes, and all of their public methods (#85303) 
Part of #85302

Pull Request resolved: https://github.com/pytorch/pytorch/pull/85303
Approved by: https://github.com/ezyang
2022-11-08 18:11:01 +00:00
..
amd_build [ROCm] enable nvfuser (#82498) 2022-08-30 21:50:39 +00:00
autograd Deprecate TypedStorage, its derived classes, and all of their public methods (#85303) 2022-11-08 18:11:01 +00:00
bazel_tools
build_defs
code_analyzer
code_coverage Fix typos under benchmarks, test, and tools directories (#87975) 2022-10-29 01:26:17 +00:00
config
coverage_plugins_package
dynamo Add dynamo smoke test (#87400) 2022-10-21 17:30:14 +00:00
fast_nvcc
gdb
iwyu
jit Reland 2 Many symintifications (#87604) (#87980) 2022-10-28 13:40:11 +00:00
linter Set check-latest to false when setup python and pip cache in CI (#87621) 2022-10-26 20:08:29 +00:00
lite_interpreter
lldb
onnx [ONNX] Initial version of diagnostics infrastructure. (#85107) 2022-09-30 07:47:26 +00:00
pyi Unify SymIntNode and SymFloatNode into SymNode (#87817) 2022-10-27 20:56:02 +00:00
rules
setup_helpers [Mobile] Fix The Build For Model Tracer (#84755) 2022-09-09 18:22:24 +00:00
shared
stats Fix monitoring script for macos (#88159) 2022-11-01 05:58:44 +00:00
test [PyTorch][Vulkan] Add template based codegen for shader generation (#88323) 2022-11-03 19:51:51 +00:00
testing Disable mem leak check (#88373) 2022-11-04 20:47:42 +00:00
__init__.py
bazel.bzl
BUCK.bzl [PyTorch][Vulkan] Add template based codegen for shader generation (#88323) 2022-11-03 19:51:51 +00:00
BUCK.oss
build_libtorch.py
build_pytorch_libs.py
download_mnist.py
extract_scripts.py
gen_flatbuffers.sh
gen_vulkan_glsl.py [PyTorch][Vulkan] Add template based codegen for shader generation (#88323) 2022-11-03 19:51:51 +00:00
gen_vulkan_spv.py [pytorch][vulkan] Add bias storage type to template (#88324) 2022-11-03 20:02:24 +00:00
generate_torch_version.py Don't print fatal:... in generate_torch_version.py (#88335) 2022-11-04 20:34:23 +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 [maskedtensor] port torch/_masked into torch/masked (#85515) 2022-09-26 23:41:13 +00:00
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.
  • 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: