Sample Python extension using Rust/PyO3/tch to interact with PyTorch

Python extensions using tch to interact with PyTorch

This sample crate shows how to use tch to write a Python extension that manipulates PyTorch tensors via PyO3.

In order to build the extension and test the plugin, run the following command from the root of the github repo. This requires a Python environment that has the appropriate torch version installed.

LIBTORCH_USE_PYTORCH=1 cargo build && cp -f target/debug/libtch_ext.so tch_ext.so
python test.py

Setting LIBTORCH_USE_PYTORCH results in using the libtorch C++ library from the Python install in tch and ensures that this is at the proper version (having tch using a different libtorch version from the one used by the Python runtime may result in segfaults).

Colab Notebook

tch based plugins can easily be used from colab (though it might be a bit slow to download all the crates and compile), see this example notebook.