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Does this implementation allow serving a single model to multiple devices (cuda/tpu/cpu?) #3

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CompRhys opened this issue Nov 17, 2023 · 1 comment

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@CompRhys
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There are some issues with using a GPU trained model on CPU for the main package (see: ACEsuit/mace#153). Do the same issues arise when trying to swap backend with the JAX version?
Have you done any testing of the inference speed up of the CPU version here?

@ilyes319
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Hey @CompRhys,

I think CPU is faster on JAX compared to torch below 2.0. It should be quite easy to convert a model to CPU.

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