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I wish apple would spend some more time paying attention to metal-jax :) it crashes with a few lines still and seems like an obvious need if apple wants to be serious about enabling ML work on their new MBPs.

MLX looks really nice from the demo-level playing around with it I've done, but I usually stick to jax so, you know, I can actually deploy it on a server without trying to find someone who racks macs.



So, on an M4 I sometimes get faster training on plain vanilla jax compared to the same model in pytorch or tensorflow. And jax-metal often breaks :/


No kidding? Might switch to CPU then. And yeah jax-metal is so utterly unreliable. I ran across an issue it turns out reduces to like a 2 line repro example which has been open on github for the better part of a year without updates




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