[XPU] upgrade torch 2.8 on for XPU (#22300)

Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>

docker/Dockerfile.xpu

-# oneapi 2025.0.2 docker base image use rolling 2448 package. https://dgpu-docs.intel.com/releases/packages.html?release=Rolling+2448.13&os=Ubuntu+22.04, and we don't need install driver manually.
-FROM intel/deep-learning-essentials:2025.0.2-0-devel-ubuntu22.04 AS vllm-base
+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 apt-get update -y && \
+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 \
@@ -14,11 +17,13 @@ RUN apt-get update -y && \
     libgl1 \
     lsb-release \
     numactl \
-    python3 \
-    python3-dev \
-    python3-pip \
+    python3.10-dev \
     wget
 
+
+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
+
 WORKDIR /workspace/vllm
 COPY requirements/xpu.txt /workspace/vllm/requirements/xpu.txt
 COPY requirements/common.txt /workspace/vllm/requirements/common.txt

requirements/xpu.txt

@@ -10,15 +10,10 @@ wheel
 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
-
-torch==2.7.0+xpu
+--extra-index-url=https://download.pytorch.org/whl/xpu
+torch==2.8.0+xpu
 torchaudio
 torchvision
 pytorch-triton-xpu
---extra-index-url=https://download.pytorch.org/whl/xpu
-
-# Please refer xpu doc, we need manually install intel-extension-for-pytorch 2.6.10+xpu due to there are some conflict dependencies with torch 2.6.0+xpu
-# FIXME: This will be fix in ipex 2.7. just leave this here for awareness.
-intel-extension-for-pytorch==2.7.10+xpu
-oneccl_bind_pt==2.7.0+xpu
 --extra-index-url=https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+intel-extension-for-pytorch==2.8.10+xpu

vllm/plugins/__init__.py

@@ -4,8 +4,6 @@
 import logging
 from typing import Any, Callable
 
-import torch
-
 import vllm.envs as envs
 
 logger = logging.getLogger(__name__)
@@ -68,13 +66,6 @@ def load_general_plugins():
         return
     plugins_loaded = True
 
-    # some platform-specific configurations
-    from vllm.platforms import current_platform
-
-    if current_platform.is_xpu():
-        # see https://github.com/pytorch/pytorch/blob/43c5f59/torch/_dynamo/config.py#L158
-        torch._dynamo.config.disable = True
-
     plugins = load_plugins_by_group(group=DEFAULT_PLUGINS_GROUP)
     # general plugins, we only need to execute the loaded functions
     for func in plugins.values():

vllm/v1/worker/xpu_worker.py

@@ -152,7 +152,7 @@ class XPUWorker(Worker):
             raise RuntimeError(
                 f"Not support device type: {self.device_config.device}")
 
-        ENV_CCL_ZE_IPC_EXCHANGE = os.getenv("CCL_ZE_IPC_EXCHANGE", "drmfd")
+        ENV_CCL_ZE_IPC_EXCHANGE = os.getenv("CCL_ZE_IPC_EXCHANGE", "pidfd")
         ENV_CCL_ATL_TRANSPORT = os.getenv("CCL_ATL_TRANSPORT", "ofi")
         ENV_LOCAL_WORLD_SIZE = os.getenv("LOCAL_WORLD_SIZE",
                                          str(self.parallel_config.world_size))