Files
pytorch/tools
Catherine Lee 63ec5cd158 TD Heuristic for tests mentioned in PR body, less verbose TD printing (#120621)
Move tests that are mentioned in PR body or commit message to front.  Also attempts to find any issues/PRs mentioned in the PR body and search for those too (ex if you link a disable issue and that issue contains the test file that it was failing on)

looking for: dynamo/test_export_mutations

Also removes some printed information in TD

Pull Request resolved: https://github.com/pytorch/pytorch/pull/120621
Approved by: https://github.com/osalpekar
2024-03-07 19:36:11 +00:00
..
2024-03-01 23:08:10 +00:00
2024-03-01 23:08:10 +00:00
2020-07-17 17:19:47 -07:00

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.

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: