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Edward Z. Yang 2d8f091f6a Move TorchDispatchModeTLS to c10/core (#83370) 
I need to access it directly from TensorImpl to route directly
TensorImpl induced operations to modes (upcoming PR).

Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/83370
Approved by: https://github.com/zou3519
2022-08-15 17:59:57 +00:00
..
amd_build [ROCM] Improvements of incremental hipification and build (#82190) 2022-07-27 13:37:40 +00:00
autograd Move TorchDispatchModeTLS to c10/core (#83370) 2022-08-15 17:59:57 +00:00
bazel_tools
build_defs
code_analyzer
code_coverage
config
coverage_plugins_package
fast_nvcc
gdb
iwyu
jit
linter Revert "Revert "Add a lint rule for torch/csrc/util/pybind.h include (#82552)"" (#82599) 2022-08-02 19:37:02 +00:00
lite_interpreter
lldb
onnx
pyi Revert "Remove split functional wrapper (#74727)" 2022-08-10 19:45:23 +00:00
rules
setup_helpers
shared
stats download test times during build to avoid race conditions (#81915) 2022-07-28 16:35:01 +00:00
test [torchgen] Generate out variant for functional operator (#81437) 2022-08-13 05:44:53 +00:00
testing
__init__.py
bazel.bzl
BUCK.bzl [torchgen] Fix multiple backends with custom namespace (#82133) 2022-07-29 22:53:58 +00:00
BUCK.oss
build_libtorch.py
build_pytorch_libs.py
cpuinfo_target_definition.bzl
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
miniz_target_definition.bzl
nightly.py
nvcc_fix_deps.py
perf_kernel_defs.bzl
pytorch.version
README.md
render_junit.py
sgx_aten_target_definitions.bzl
sgx_caffe2_target_definitions.bzl
sgx_target_definitions.bzl
substitute.py
target_definitions.bzl embedded_interpreter_hip (#83329) 2022-08-15 15:08:55 +00:00
update_masked_docs.py
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: