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| - [XNNPACK](https://pytorch.org/executorch/main/backends-xnnpack.html) - this is the most supported backend and will work with all models. | ||
| - [CoreML](https://docs.pytorch.org/executorch/stable/backends-coreml.html) | ||
| - Cuda | ||
| - [Metal](https://docs.pytorch.org/executorch/stable/backends/mps/mps-overview.html) - current only available with `executorch >= 1.1.0.dev20251017`. Please separately install this nightly to use the Metal backend. |
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This is linking to the MPS backend instead. Also, our instructions are to install executorch from source, not the nightly.
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ET needs to be installed from source for Metal?
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Not particular to Metal. I would say the same for CUDA. Given that we are actively developing these backends, it makes sense to instruct users to install from source (i.e. using the install_executorch.sh script) which is also how things are being tested in CI.
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Makes sense, could you suggest some installation instructions? Do we install ET from source before or after Optimum ET, and do we install from tip of main or a specific commit?
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