[CPU] toml file update (#17861)

docker/xeon.Dockerfile

@@ -4,12 +4,6 @@ SHELL ["/bin/bash", "-c"]
 ARG SGLANG_REPO=https://github.com/sgl-project/sglang.git
 ARG VER_SGLANG=main
 
-ARG VER_TORCH=2.9.0
-ARG VER_TORCHVISION=0.24.0
-ARG VER_TORCHAUDIO=2.9.0
-ARG VER_TORCHAO=0.14.1
-ARG VER_TRITON=3.5.0
-
 RUN apt-get update && \
     apt-get full-upgrade -y && \
     DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
@@ -46,8 +40,6 @@ RUN source $HOME/.local/bin/env && \
     cd python && \
     cp pyproject_cpu.toml pyproject.toml && \
     uv pip install . && \
-    uv pip install torch==${VER_TORCH} torchvision==${VER_TORCHVISION} torchaudio==${VER_TORCHAUDIO} torchao==${VER_TORCHAO} triton==${VER_TRITON} --force-reinstall && \
-    uv pip install tabulate && \
     cd ../sgl-kernel && \
     cp pyproject_cpu.toml pyproject.toml && \
     uv pip install .

docs/platforms/cpu_server.md

@@ -123,7 +123,6 @@ cp pyproject_cpu.toml pyproject.toml
 # Install SGLang dependent libs, and build SGLang main package
 uv pip install --upgrade pip setuptools
 uv pip install .
-uv pip install torch==2.9.0 torchvision==0.24.0 torchaudio==2.9.0 torchao==0.14.1 triton==3.5.0 --force-reinstall
 
 # Build the CPU backend kernels
 cd ../sgl-kernel
@@ -187,8 +186,7 @@ Notes:
 2. The flag `--tp 6` specifies that tensor parallelism will be applied using 6 ranks (TP6).
     The number of TP specified is how many TP ranks will be used during the execution.
     On a CPU platform, a TP rank means a sub-NUMA cluster (SNC).
-    Usually we can get the SNC information (How many available) from the Operating System.
+    Usually we can get the SNC information (How many available) from the Operating System with e.g. `lscpu` command.
-    Users can specify TP to be no more than the total available SNCs in current system.
 
     If the specified TP rank number differs from the total SNC count,
     the system will automatically utilize the first `n` SNCs.

python/pyproject_cpu.toml

@@ -39,7 +39,7 @@ dependencies = [
   "openai-harmony==0.0.4",
   "openai==2.6.1",
   "orjson",
-  "outlines==0.1.11",
+  "outlines",
   "packaging",
   "partial_json_parser",
   "pillow",
@@ -55,11 +55,16 @@ dependencies = [
   "sentencepiece",
   "setproctitle",
   "soundfile==0.13.1",
+  "tabulate",
   "tiktoken",
   "timm==1.0.16",
-  "torchao==0.9.0",
+  "torch==2.9.0",
+  "torchao==0.14.1",
+  "torchaudio==2.9.0",
+  "torchvision==0.24.0",
   "tqdm",
   "transformers==4.57.1",
+  "triton==3.5.0",
   "uvicorn",
   "uvloop",
   "xgrammar==0.1.27",
@@ -84,7 +89,6 @@ test = [
   "peft",
   "pytest",
   "sentence_transformers",
-  "tabulate",
 ]
 all = []
 dev = ["sglang[test]"]

sgl-kernel/pyproject_cpu.toml

@@ -7,7 +7,7 @@ requires = [
 build-backend = "scikit_build_core.build"
 
 [project]
-name = "sgl-kernel-cpu"
+name = "sglang-kernel-cpu"
 version = "0.3.21"
 description = "Kernel Library for SGLang"
 readme = "README.md"