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[XPU] Upgrade torch 2.11 for xpu (#37947)

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Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>
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Kunshang Ji
2026-04-23 10:07:35 -05:00
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parent b7a2605020
commit 53ecc807c0
4 changed files with 29 additions and 29 deletions
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docs/getting_started/installation/gpu.xpu.inc.md
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@@ -46,7 +46,7 @@ pip install -v -r requirements/xpu.txt
!!! note
- `triton` (without suffix) is for NVIDIA GPUs only. On XPU, using it instead of `triton-xpu` can cause correctness or runtime issues.
- For torch 2.10 (the version used in `requirements/xpu.txt`), the matching package is `triton-xpu==3.6.0`. If you use a different version of torch, check the corresponding `triton-xpu` version in [docker/Dockerfile.xpu](https://github.com/vllm-project/vllm/blob/main/docker/Dockerfile.xpu).
- For torch 2.11 (the version used in `requirements/xpu.txt`), the matching package is `triton-xpu==3.7.0`. If you use a different version of torch, check the corresponding `triton-xpu` version in [docker/Dockerfile.xpu](https://github.com/vllm-project/vllm/blob/main/docker/Dockerfile.xpu).
- Finally, build and install vLLM XPU backend: