pytorch/tools
Martin Yuan fdd771c90f Make tracing in code gen optional (#33715)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33715

Tracing codes depend on the full JIT, which is not available in lite interpreter. Use `-c pt.disable_gen_tracing=1` to turn off generating tracing part.
ghstack-source-id: 99252322

Test Plan:
```
buck build xplat/caffe2:torch -c pt.disable_gen_tracing=1
```
The tracing part of generated/VariableType_?.cpp will not be generated.

Reviewed By: smessmer

Differential Revision: D19684577

fbshipit-source-id: a1e5b80eca5e51c7bf72b5cc8f0e36c2135fabc2
2020-03-04 08:16:31 -08:00
..
amd_build Move torch.cuda's atfork handler into C++ (#29101) 2019-11-11 07:34:27 -08:00
autograd Make tracing in code gen optional (#33715) 2020-03-04 08:16:31 -08:00
code_analyzer [pytorch][mobile] support for custom mobile build with dynamic dispatch (#34055) 2020-03-03 19:25:16 -08:00
docker clean up runtime dockerfile, use cuda 9 package (#7230) 2018-05-02 23:54:05 -07:00
jit Revert D18672405: Use codegen'ed unboxing wrappers 2020-02-29 15:27:54 -08:00
pyi fix type stub errors (#33762) 2020-02-27 06:58:53 -08:00
setup_helpers Make tracing in code gen optional (#33715) 2020-03-04 08:16:31 -08:00
shared Ignore F401 in all __init__.py without putting noqa (#25823) 2019-10-23 15:28:13 -07:00
__init__.py
aten_mirror.sh Restore TBB module (#20454) 2019-05-28 02:49:36 -07:00
build_libtorch.py Specify build dir as a global variable in BUILD_DIR in the build system. 2019-07-25 07:19:47 -07:00
build_pytorch_libs.py Remove tools/setup_helpers/cuda.py. (#28617) 2019-11-06 07:12:01 -08:00
build_variables.bzl Add and test training in lite interpreter. (#32359) 2020-03-03 23:33:43 -08:00
clang_format.py Enable EXE001 flake8 check. (#27560) 2019-10-09 09:15:29 -07:00
clang_tidy.py Fix typos (#30606) 2019-12-02 20:17:42 -08:00
download_mnist.py Turn on F401: Unused import warning. (#18598) 2019-03-30 09:01:17 -07:00
flake8_hook.py Add missing shebangs to Python files with executable permissions. 2019-06-06 10:53:40 -07:00
generated_dirs.txt Add simple scripts for checking if generated code changed. (#12835) 2018-10-22 07:33:32 -07:00
git-pre-commit [jit] do the code reorg (#33851) 2020-02-27 13:02:51 -08:00
git_add_generated_dirs.sh Add simple scripts for checking if generated code changed. (#12835) 2018-10-22 07:33:32 -07:00
git_reset_generated_dirs.sh Add simple scripts for checking if generated code changed. (#12835) 2018-10-22 07:33:32 -07:00
pytorch.version Convert all tabs to spaces, add CI. (#18959) 2019-04-09 08:12:26 -07:00
README.md no more build_pytorch_libs.sh/.bat (#32319) 2020-01-23 14:45:54 -08:00
update_disabled_tests.sh we should have a config-based way to skip flaky tests (#30978) 2019-12-17 11:58:43 -08:00

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.

Legacy infrastructure (we should kill this):

  • cwrap - Implementation of legacy code generation for THNN/THCUNN. This is used by nnwrap.

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: