enhance new codes to XPU, and make them be device agnostic#3890
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SunMarc merged 4 commits intohuggingface:mainfrom Jan 27, 2026
Merged
enhance new codes to XPU, and make them be device agnostic#3890SunMarc merged 4 commits intohuggingface:mainfrom
SunMarc merged 4 commits intohuggingface:mainfrom
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Signed-off-by: Matrix YAO <matrix.yao@intel.com>
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Jan 6, 2026
src/accelerate/big_modeling.py
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| from accelerate import Accelerator, init_on_device | ||
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| with init_on_device(device=torch.device("cuda")): | ||
| tst = nn.Linear(100, 100) # on `cuda` device | ||
| accelerator = Accelerator() | ||
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| with init_on_device(device=torch.device(accelerator.device)): | ||
| tst = nn.Linear(100, 100) # on specified device |
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It's not really recommended to initialize Accelerator when we are not training. maybe we can keep this example by adding a device variable. device = "cuda" # or "xpu" and so on
Signed-off-by: Matrix YAO <matrix.yao@intel.com>
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@SunMarc , pls take a second look, thx very much. |
Signed-off-by: Matrix YAO <matrix.yao@intel.com>
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@SunMarc I've fixed the ruff check issue, other issues seems not related to my PR, pls help check, thx. |
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@SunMarc , could you help take a second look? Thx very much. |
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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. |
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