[XPU] add apache-tvm-ffi dependency (#26053)

docker/xpu.Dockerfile

@@ -68,6 +68,7 @@ RUN --mount=type=secret,id=github_token \
     cp pyproject_xpu.toml pyproject.toml && \
     pip install . --extra-index-url https://download.pytorch.org/whl/xpu && \
     pip install --no-deps xgrammar==0.1.33 && \
+    pip install apache-tvm-ffi && \
     pip install triton-xpu==3.7.1 --index-url https://download.pytorch.org/whl/xpu --force-reinstall && \
     # Add environment setup commands to .bashrc again (in case it was overwritten)
     echo ". /home/sdp/miniforge3/bin/activate; conda activate py${PYTHON_VERSION}; cd /home/sdp" >> /home/sdp/.bashrc

docs_new/docs/hardware-platforms/xpu.mdx

@@ -55,6 +55,7 @@ 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==2.11.0+xpu torchao torchvision 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
 
 # Clone the SGLang code
 git clone https://github.com/sgl-project/sglang.git