kernel-builder

This repo contains a Nix package that can be used to build custom machine learning kernels for PyTorch. The kernels are built using the PyTorch C++ Frontend and can be loaded from the Hub with the kernels Python package.

This builder is a core component of the larger kernel build/distribution system.

🚀 Quick Start

We provide a Docker image with which you can build a kernel:

# navigate to the activation directory
cd examples/activation

# then run the following command to build the kernel
docker run --rm \
    -v $(pwd):/kernelcode \
    ghcr.io/huggingface/kernel-builder:latest

This will build the kernel and save the output in the build directory in the activation folder.

📚 Documentation

• Writing Hub kernels
• Building kernels with Docker
• Building kernels with Nix
• Local kernel development (IDE integration)

Credits

The generated CMake build files are based on the vLLM build infrastructure.