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model.tie_weights() should be applied after accelerator.prepare() #18676

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merged 3 commits into from
Aug 18, 2022
Merged

model.tie_weights() should be applied after accelerator.prepare() #18676

merged 3 commits into from
Aug 18, 2022

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Gladiator07
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What does this PR do?

Weight tying should be done after the model has been moved to XLA device as mentioned on PyTorch/XLA Troubleshooting guide here. This PR fixes this in examples/pytorch/language-modeling/run_mlm_no_trainer.py example script.

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Who can review ?

@sgugger @muellerzr

Weight tying should be done after the model has been moved to XLA device as mentioned on PyTorch/XLA Troubleshooting guide [here](https://github.com/pytorch/xla/blob/master/TROUBLESHOOTING.md#xla-tensor-quirks)
@HuggingFaceDocBuilderDev
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HuggingFaceDocBuilderDev commented Aug 18, 2022

The documentation is not available anymore as the PR was closed or merged.

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@muellerzr muellerzr left a comment

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Thanks! Indeed, this is the right way to go about this. In Accelerate it'd probably also be good to do this by default, similar to how Trainer does it

Could you run make style; make quality to pass the quality checks?

@muellerzr
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Thanks @Gladiator07 great work!

@muellerzr muellerzr merged commit e54a1b4 into huggingface:main Aug 18, 2022
oneraghavan pushed a commit to oneraghavan/transformers that referenced this pull request Sep 26, 2022
…huggingface#18676)

* `model.tie_weights()` should be applied after `accelerator.prepare`

Weight tying should be done after the model has been moved to XLA device as mentioned on PyTorch/XLA Troubleshooting guide [here](https://github.com/pytorch/xla/blob/master/TROUBLESHOOTING.md#xla-tensor-quirks)

* format code
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3 participants