enable QA bf16 pipeline #34483
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enable QA bf16 pipeline #34483
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The issue can be reproduced by: import torch
from transformers import pipeline
question = "How many programming languages does BLOOM support?"
context = "BLOOM has 176 billion parameters and can generate text in 46 languages natural languages and 13 programming languages."
question_answerer = pipeline("question-answering", model="bert-large-uncased-whole-word-masking-finetuned-squad", torch_dtype=torch.bfloat16)
out = question_answerer(question=question, context=context) |
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Hi @Rocketknight1 , could you please review this PR ? Thx! |
Rocketknight1
approved these changes
Oct 31, 2024
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Merging without core maintainer review since this is a straightforward pipeline dtype fix that shouldn't have any side effects |
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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. |
BernardZach
pushed a commit
to BernardZach/transformers
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this pull request
Dec 5, 2024
* enable QA bf16 pipeline * add tests
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Hi @SunMarc @ArthurZucker
The same issue as #31625 . Numpy can only process fp32 data type but the input tensor could be bf16/fp16 based on the model's dtype. Please review it, thx!