[xpu] upgrade ipex/python3.12 for xpu (#23830)

Signed-off-by: Yan Ma <yan.ma@intel.com>

docker/Dockerfile.xpu

@@ -1,12 +1,10 @@
 FROM intel/deep-learning-essentials:2025.1.3-0-devel-ubuntu24.04 AS vllm-base
 
-RUN rm /etc/apt/sources.list.d/intel-graphics.list
+RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null && \
+    echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | tee /etc/apt/sources.list.d/oneAPI.list && \
+    add-apt-repository -y ppa:kobuk-team/intel-graphics
 
 RUN apt clean && apt-get update -y && \
-    apt-get install -y software-properties-common && \
-    add-apt-repository ppa:deadsnakes/ppa && \
-    apt-get install -y python3.10 python3.10-distutils && \
-    curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10 && \
     apt-get install -y --no-install-recommends --fix-missing \
     curl \
     ffmpeg \
@@ -17,17 +15,29 @@ RUN apt clean && apt-get update -y && \
     libgl1 \
     lsb-release \
     numactl \
-    python3.10-dev \
-    wget
+    wget \
+    vim \
+    python3.12 \
+    python3.12-dev \
+    python3-pip
 
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 1
+RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.12 1
 
-RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1
-RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.10 1
+RUN apt install -y libze1 libze-dev libze-intel-gpu1 intel-opencl-icd libze-intel-gpu-raytracing
+
+RUN wget https://github.com/uxlfoundation/oneCCL/releases/download/2021.15.4/intel-oneccl-2021.15.4.11_offline.sh
+RUN bash intel-oneccl-2021.15.4.11_offline.sh -a --silent --eula accept && echo "source /opt/intel/oneapi/setvars.sh --force" >> /root/.bashrc
+SHELL ["bash", "-c"]
+CMD ["bash", "-c", "source /root/.bashrc && exec bash"]
 
 WORKDIR /workspace/vllm
 COPY requirements/xpu.txt /workspace/vllm/requirements/xpu.txt
 COPY requirements/common.txt /workspace/vllm/requirements/common.txt
 
+# suppress the python externally managed environment error
+RUN python3 -m pip config set global.break-system-packages true
+
 RUN --mount=type=cache,target=/root/.cache/pip \
     pip install --no-cache-dir \
     -r requirements/xpu.txt
@@ -54,8 +64,9 @@ FROM vllm-base AS vllm-openai
 RUN --mount=type=cache,target=/root/.cache/pip \
     pip install accelerate hf_transfer pytest pytest_asyncio lm_eval[api] modelscope
 
-ENV VLLM_USAGE_SOURCE production-docker-image \
-    TRITON_XPU_PROFILE 1
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip uninstall oneccl oneccl-devel -y
+
 # install development dependencies (for testing)
 RUN python3 -m pip install -e tests/vllm_test_utils
 ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]

docs/getting_started/installation/gpu/xpu.inc.md

@@ -3,13 +3,16 @@
 vLLM initially supports basic model inference and serving on Intel GPU platform.
 
 !!! warning
-    There are no pre-built wheels or images for this device, so you must build vLLM from source.
+    There are no pre-built wheels for this device, so you need build vLLM from source. Or you can use pre-built images which are based on vLLM released versions.
 
 # --8<-- [end:installation]
 # --8<-- [start:requirements]
 
 - Supported Hardware: Intel Data Center GPU, Intel ARC GPU
-- OneAPI requirements: oneAPI 2025.0
+- OneAPI requirements: oneAPI 2025.1
+- Python: 3.12
+!!! warning
+    The provided IPEX whl is Python3.12 specific so this version is a MUST.
 
 # --8<-- [end:requirements]
 # --8<-- [start:set-up-using-python]
@@ -24,7 +27,7 @@ Currently, there are no pre-built XPU wheels.
 # --8<-- [end:pre-built-wheels]
 # --8<-- [start:build-wheel-from-source]
 
-- First, install required [driver](https://dgpu-docs.intel.com/driver/installation.html#installing-gpu-drivers) and [Intel OneAPI](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) 2025.0 or later.
+- First, install required [driver](https://dgpu-docs.intel.com/driver/installation.html#installing-gpu-drivers) and [Intel OneAPI](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) 2025.1 or later.
 - Second, install Python packages for vLLM XPU backend building:
 
 ```bash
@@ -40,14 +43,10 @@ pip install -v -r requirements/xpu.txt
 VLLM_TARGET_DEVICE=xpu python setup.py install
 ```
 
-!!! note
-    - FP16 is the default data type in the current XPU backend. The BF16 data
-      type is supported on Intel Data Center GPU, not supported on Intel Arc GPU yet.
-
 # --8<-- [end:build-wheel-from-source]
 # --8<-- [start:pre-built-images]
 
-Currently, there are no pre-built XPU images.
+Currently, we release prebuilt XPU images at docker [hub](https://hub.docker.com/r/intel/vllm/tags) based on vLLM released version. For more information, please refer release [note](https://github.com/intel/ai-containers/blob/main/vllm).
 
 # --8<-- [end:pre-built-images]
 # --8<-- [start:build-image-from-source]
@@ -65,14 +64,14 @@ docker run -it \
 # --8<-- [end:build-image-from-source]
 # --8<-- [start:supported-features]
 
-XPU platform supports **tensor parallel** inference/serving and also supports **pipeline parallel** as a beta feature for online serving. We require Ray as the distributed runtime backend. For example, a reference execution like following:
+XPU platform supports **tensor parallel** inference/serving and also supports **pipeline parallel** as a beta feature for online serving. For **pipeline parallel**, we support it on single node with mp as the backend. For example, a reference execution like following:
 
 ```bash
 python -m vllm.entrypoints.openai.api_server \
      --model=facebook/opt-13b \
      --dtype=bfloat16 \
      --max_model_len=1024 \
-     --distributed-executor-backend=ray \
+     --distributed-executor-backend=mp \
      --pipeline-parallel-size=2 \
      -tp=8
 ```

requirements/xpu.txt

@@ -11,10 +11,9 @@ jinja2>=3.1.6
 datasets # for benchmark scripts
 numba == 0.60.0 # v0.61 doesn't support Python 3.9. Required for N-gram speculative decoding
 nixl==0.3.0 # for PD disaggregation
---extra-index-url=https://download.pytorch.org/whl/xpu
 torch==2.8.0+xpu
 torchaudio
 torchvision
-pytorch-triton-xpu
---extra-index-url=https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
-intel-extension-for-pytorch==2.8.10+xpu
+--extra-index-url=https://download.pytorch.org/whl/xpu
+
+intel-extension-for-pytorch @ https://intel-extension-for-pytorch.s3.us-east-1.amazonaws.com/ipex_dev/xpu/intel_extension_for_pytorch-2.8.10.post0%2Bxpu-cp312-cp312-linux_x86_64.whl