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[docs] add xpu device check (#34684)

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* add XPU path

* use accelerate API

* Update docs/source/en/tasks/semantic_segmentation.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update more places with accelerate API

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
This commit is contained in:
Fanli Lin
2024-11-14 06:16:59 +08:00
committed by GitHub
parent 68f8186a89
commit a3d69a8994
12 changed files with 31 additions and 21 deletions
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docs/source/en/tasks/semantic_segmentation.md
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@@ -689,7 +689,9 @@ Reload the dataset and load an image for inference.
We will now see how to infer without a pipeline. Process the image with an image processor and place the `pixel_values` on a GPU:
```py
>>> device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # use GPU if available, otherwise use a CPU
>>> from accelerate.test_utils.testing import get_backend
# automatically detects the underlying device type (CUDA, CPU, XPU, MPS, etc.)
>>> device, _, _ = get_backend()
>>> encoding = image_processor(image, return_tensors="pt")
>>> pixel_values = encoding.pixel_values.to(device)
```