[Intel GPU] Align XPU toml file for rust support (#31031)

Signed-off-by: P V R K Jyothendra Varma <polisetty.v.r.k.jyothendra.varma@intel.com>

docs/docs/hardware-platforms/xpu.mdx

@@ -51,14 +51,24 @@ Quantized MoE models are covered separately in
 Currently SGLang XPU only supports installation from source. Please refer to ["Getting Started on Intel GPU"](https://docs.pytorch.org/docs/stable/notes/get_start_xpu.html) to install XPU dependency.
 
 ```bash Command
+# Below commands shows Ubuntu/Debian OS as example, other OS requires similar command change
+# add sudo if required to install below packages
+# Install curl and protobuf compiler
+
+apt-get update && apt-get install -y curl protobuf-compiler
+
+# Install Rust (non-interactive)
+curl --proto '=https' --tlsv1.2 --retry 3 --retry-delay 2 -sSf https://sh.rustup.rs | sh -s -- -y
+# Make cargo available in the current shell
+source "$HOME/.cargo/env"
+
 # Create and activate a conda environment
 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==2.13.0+xpu torchvision==0.28.0+xpu torchaudio==2.11.0+xpu --index-url https://download.pytorch.org/whl/xpu
-pip3 install xgrammar --no-deps # xgrammar will introduce CUDA-enabled triton which might conflict with XPU
-pip3 install apache-tvm-ffi # xgrammar requires apache-tvm-ffi
+pip3 install xgrammar==0.1.33 --no-deps # xgrammar will introduce CUDA-enabled triton which might conflict with XPU
 
 # Clone the SGLang code
 git clone https://github.com/sgl-project/sglang.git

python/pyproject_xpu.toml

@@ -1,5 +1,5 @@
 [build-system]
-requires = ["setuptools>=61.0", "setuptools-scm>=8.0", "wheel"]
+requires = ["setuptools>=61.0", "setuptools-rust>=1.10", "setuptools-scm>=8.0", "torch==2.13.0+xpu", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [project]