Dedicated toml files for CPU/XPU (#10734)

docs/platforms/cpu_server.md

@@ -82,15 +82,16 @@ cd sglang
 git checkout <YOUR-DESIRED-VERSION>
 
 # Use dedicated toml file
-cp python/pyproject_other.toml python/pyproject.toml
+cd python
+cp pyproject_cpu.toml pyproject.toml
 # Install SGLang dependent libs, and build SGLang main package
 pip install --upgrade pip setuptools
 conda install -y libsqlite==3.48.0 gperftools tbb libnuma numactl
-pip install -e "python[all_cpu]"
+pip install .
 pip install torch==2.7.1 torchvision==0.22.1 triton==3.3.1 --force-reinstall
 
 # Build the CPU backend kernels
-cd sgl-kernel
+cd ../sgl-kernel
 cp pyproject_cpu.toml pyproject.toml
 pip install .