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albanD avatar albanD commented on June 20, 2024 1

Hey!

I think there are two ways we can go about this one:

  • Update the mps device_module to add this function to set the current device.
  • Change the checkpoint code to only call this function if the current device is not the same as the device we want to set (so that device/accelerator that only ever have one device don't need to worry about it).

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tedunderwood avatar tedunderwood commented on June 20, 2024 1

For what it's worth, I only encounter this error when using CachedGISTEmbeddingLoss or CachedMultipleNegativesRankingLoss. The non-cached versions of those same loss functions do not create the error.

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kulinseth avatar kulinseth commented on June 20, 2024 1

Hey!

I think there are two ways we can go about this one:

  • Update the mps device_module to add this function to set the current device.
  • Change the checkpoint code to only call this function if the current device is not the same as the device we want to set (so that device/accelerator that only ever have one device don't need to worry about it).

I like option 1. We would need this method later for Triton work.. Updating current PR with it.

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tedunderwood avatar tedunderwood commented on June 20, 2024

I am getting the same bug under Python 3.13 and OS 14.3.1. I got it under both torch 2.2.2 and torch 2.3.

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