Text classification example gives "Shader validation error" when run on multiple GPUs about burn HOT 5 OPEN

Looking at the experiment.log the problem seems to come from the validation layer of Vulkan, not from a multi-device error. I tested on my system and I can run the training with multiple devices. Maybe you can try to disable the validation layer of Vulkan (branch wgpu-no-validation).

Also, you could test using the LibTorch backend instead.

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Training does appear to work with the LibTorch GPU backend, with multiple GPUs specified. That may not be much use to me though - I am specifically migrating away from libtorch due to its lack of thread safety.

Running on the wgpu-no-validation branch surprisingly results in the same validation error:
experiment.log

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@joshhansen My intuition would suggest that the problem may come from a precision error, where wgpu can't convert the literal to a float32. If you change that value, does it work?

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Change 0.00000000023283064365386963f? My apologies, I'm not familiar with Burn's compilation process, where would that value "live" such that I could modify it?

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@joshhansen I guessed it was a constant defined by your code 😅

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