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android / platform / external / pytorch / 77b6885a225db0e4dfe331d3e98a5a456c672c2c / . / tools
tree: 7fbf13c477f98c4894ef66fe4f07e7cf4197db6c [path history] [tgz]
  1. amd_build/
  2. autograd/
  3. build_defs/
  4. code_analyzer/
  5. code_coverage/
  6. config/
  7. coverage_plugins_package/
  8. fast_nvcc/
  9. gdb/
  10. iwyu/
  11. jit/
  12. linter/
  13. lite_interpreter/
  14. lldb/
  15. onnx/
  16. pyi/
  17. rules/
  18. setup_helpers/
  19. shared/
  20. stats/
  21. test/
  22. testing/
  23. __init__.py
  24. bazel.bzl
  25. build_libtorch.py
  26. build_pytorch_libs.py
  27. cpuinfo_target_definition.bzl
  28. download_mnist.py
  29. extract_scripts.py
  30. gen_flatbuffers.sh
  31. generate_torch_version.py
  32. generated_dirs.txt
  33. git_add_generated_dirs.sh
  34. git_reset_generated_dirs.sh
  35. miniz_target_definition.bzl
  36. nightly.py
  37. nvcc_fix_deps.py
  38. perf_kernel_defs.bzl
  39. pytorch.version
  40. README.md
  41. render_junit.py
  42. sgx_aten_target_definitions.bzl
  43. sgx_caffe2_target_definitions.bzl
  44. sgx_target_definitions.bzl
  45. substitute.py
  46. target_definitions.bzl
  47. update_masked_docs.py
  48. vscode_settings.py
tools/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: