make examples under doc device agnostic - #47812
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Signed-off-by: kaixuanliu <kaixuan.liu@intel.com>
stevhliu
approved these changes
Aug 6, 2026
| self.end_event = None | ||
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| def __enter__(self): | ||
| # Use CUDA events for more accurate GPU timing |
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the context here was in using CUDA graphs, so i'd undo this change
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| processor = AutoProcessor.from_pretrained(model_id) | ||
| model = AutoModelForTokenClassification.from_pretrained(model_id, dtype=torch.bfloat16).to("cuda") | ||
| model = AutoModelForTokenClassification.from_pretrained(model_id, dtype=torch.bfloat16, device_map="auto") |
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context here was also in using an A100, so i'd also revert this change
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Oh, I didn't notice it, have updated the code.
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Signed-off-by: kaixuanliu <kaixuan.liu@intel.com>
kaixuanliu
marked this pull request as ready for review
August 7, 2026 01:13
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@stevhliu @IlyasMoutawwakil pls help review, thx!