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About metal-kernel

M

metal-kernel

Write Metal/MPS kernels for PyTorch operators

metal-kernel is an agent skill from the PyTorch repository that guides the writing of Metal kernels for PyTorch operators on Apple Silicon, so that operators run on the Metal Performance Shaders (MPS) device. It covers two workflows: adding MPS support to a new operator from scratch, and migrating an operator that uses MPSGraph to native Metal. The skill is firm about the approach. Its goal is to use native Metal capabilities through the c10/metal infrastructure, not MPSGraph, because native Metal kernels offer better control, performance and maintainability. Both workflows involve the same three parts. The first is updating dispatch in the native functions YAML file, aten/src/ATen/native/native_functions.yaml. The second is writing the Metal kernel in aten/src/ATen/native/mps/kernels. The third is implementing the host-side stub in aten/src/ATen/native/mps/operations. The skill is organized as numbered steps, starting with the native functions file. It is listed on skills.sh, with its security audit results shown there. It suits contributors to PyTorch who work on the Apple GPU backend and need a consistent procedure for kernel work.

View metal-kernelAll AI Skills apps
Price
Free
Made by
pytorch
Category
AI Skills
Website
github.com/pytorch/pytorch/metal-kernel