C++/CUDA Extensions in PyTorch

This repository contains two example C++/CUDA extensions for PyTorch:

1. extension_cpp - Uses the standard ATen/LibTorch API
2. extension_cpp_stable - Uses the LibTorch Stable ABI

Both extensions demonstrate how to write an example mymuladd custom op that has both
custom CPU and CUDA kernels.

extension_cpp (Standard ATen API)

Uses the full ATen/LibTorch API. This is the traditional way of writing PyTorch extensions.
See this tutorial for more details.

extension_cpp_stable (Stable ABI)

Uses the LibTorch Stable ABI to ensure that the extension built can be run with any version
of PyTorch >= 2.10.0, without needing to recompile for each PyTorch version.

The extension_cpp_stable examples require PyTorch 2.10+.

Building

To build extension_cpp (standard API):

cd extension_cpp
pip install --no-build-isolation -e .

To build extension_cpp_stable (stable ABI):

cd extension_cpp_stable
pip install --no-build-isolation -e .

Testing

To test both extensions:

python test/test_extension.py

Authors

Peter Goldsborough, Richard Zou