Experimental: PyTorch backend #457
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OK, so I was able to run the test-suite (adapted from JAX) which of course breaks horribly, but it's something we can iterate on. |
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Oh boy 🥲 this will be a fun one |
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what about using something like https://github.com/lucidrains/jax2torch ? |
We would like to avoid JAX, intermediately, because it imposes restrictions that PyTorch doesn't. |
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Closing in favor of #764 |
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I copied the JAX linker code and asked GPT to port the code to pytorch. Haven't tried it but maybe it's a good starting point for someone else.