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9 changes: 2 additions & 7 deletions README.md
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[Join us on Discord](https://discord.gg/H6Tkmd88N3) for questions and discussions!

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](https://pytorch.org/cppdocs/frontend.html) and can be loaded from the Hub with the [kernels](https://github.com/huggingface/kernels)
Python package.

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

**Torch 2.9 note:** kernel-builder currently builds Torch 2.9 extensions based on
the [fifth release candidate](https://dev-discuss.pytorch.org/t/reminder-calls-for-features-upcoming-branch-cut/3225).
If you upload Torch 2.9 kernels, please validate them against
the final Torch 2.9.0 release. In the unlikely case of an ABI-breaking
change, you can rebuild and upload your kernel once kernel-builder
is updated for the final release

## 🚀 Quick Start

We recommend using [Nix](https://nixos.org/download.html) to build kernels. To speed up builds, first enable the Hugging Face binary cache:
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