multi-gpu: fix tensor device placements for various models #35763
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dvrogozh
requested review from
zucchini-nlp,
ArthurZucker,
amyeroberts and
qubvel
as code owners
dvrogozh
commented
Jan 18, 2025
| @@ -818,7 +818,7 @@ def forward( | |||
| if inputs_embeds is None: | |||
| inputs_embeds = self.wte(input_ids) | |||
| position_embeds = self.wpe(position_ids) | |||
| hidden_states = inputs_embeds + position_embeds | |||
| hidden_states = inputs_embeds + position_embeds.to(inputs_embeds.device) | |||
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FYI reviewers, this fix was taken from here:
See #30836 (comment) for associated discussion.
dvrogozh
requested review from
eustlb,
Cyrilvallez and
Rocketknight1
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SunMarc
reviewed
Jan 20, 2025
|
@SunMarc, that's a big change since models reuse the code from each other and that's enforced on ci level with
So, I think it might be easier to review first 2 commits separately. |
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SunMarc
approved these changes
Feb 4, 2025
Fixing the following errors in few models: ``` > hidden_states = inputs_embeds + pos_embeds E RuntimeError: Expected all tensors to be on the same device, but found at least two devices, xpu:2 and xpu:3! ``` Fixes: huggingface#35762 Signed-off-by: Dmitry Rogozhkin <[email protected]>
Fixes: huggingface#35762 Signed-off-by: Dmitry Rogozhkin <[email protected]>
Signed-off-by: Dmitry Rogozhkin <[email protected]>
|
ping @ArthurZucker |
|
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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Fixes: #35762
CC: @SunMarc @ydshieh @faaany