[Intel XPU]Update pytorch xpu to 2.9 (#12363)

docker/xpu.Dockerfile

@@ -3,7 +3,7 @@
 # Usage: docker build --build-arg UBUNTU_VERSION=24.04 --build-arg PYTHON_VERSION=3.10 -t sglang:xpu_kernel -f  xpu.Dockerfile --no-cache .
 
 # Use Intel deep learning essentials base image with Ubuntu 24.04
-FROM intel/deep-learning-essentials:2025.1.3-0-devel-ubuntu24.04
+FROM intel/deep-learning-essentials:2025.2.2-0-devel-ubuntu24.04
 
 # Avoid interactive prompts during package install
 ENV DEBIAN_FRONTEND=noninteractive
@@ -48,7 +48,7 @@ RUN --mount=type=secret,id=github_token \
     cd /home/sdp && \
     . /home/sdp/miniforge3/bin/activate && \
     conda activate py${PYTHON_VERSION} && \
-    pip3 install torch==2.8.0+xpu torchao torchvision torchaudio pytorch-triton-xpu==3.4.0 --index-url https://download.pytorch.org/whl/xpu
+    pip3 install torch==2.9.0+xpu torchao torchvision torchaudio pytorch-triton-xpu==3.5.0 --index-url https://download.pytorch.org/whl/xpu
 
 RUN --mount=type=secret,id=github_token \
     cd /home/sdp && \

docs/platforms/xpu.md

@@ -30,7 +30,7 @@ conda create -n sgl-xpu python=3.12 -y
 conda activate sgl-xpu
 
 # Set PyTorch XPU as primary pip install channel to avoid installing the larger CUDA-enabled version and prevent potential runtime issues.
-pip3 install torch==2.8.0+xpu torchao torchvision torchaudio pytorch-triton-xpu==3.4.0 --index-url https://download.pytorch.org/whl/xpu
+pip3 install torch==2.9.0+xpu torchao torchvision torchaudio pytorch-triton-xpu==3.5.0 --index-url https://download.pytorch.org/whl/xpu
 pip3 install xgrammar --no-deps # xgrammar will introduce CUDA-enabled triton which might conflict with XPU
 
 # Clone the SGLang code

python/pyproject_xpu.toml

@@ -15,8 +15,8 @@ classifiers = [
 ]
 
 dependencies = [
-  "torch==2.8.0",
-  "torchaudio==2.8.0",
+  "torch==2.9.0",
+  "torchaudio==2.9.0",
   "torchvision",
   "sgl-kernel @ git+https://github.com/sgl-project/sgl-kernel-xpu.git",
   "IPython",