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chore: bump v0.5.2 (#10221)

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This commit is contained in:
Yineng Zhang
2025-09-11 16:09:20 -07:00
committed by GitHub
parent a2424068ec
commit b0d25e72c4
10 changed files with 23 additions and 14 deletions
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2
.github/workflows/release-docker-xeon.yml vendored
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@@ -1,4 +1,4 @@
name: Release Docker Images name: Release Docker Xeon Images
on: on:
push: push:
branches: branches:

11
.github/workflows/release-docker.yml vendored
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@@ -14,13 +14,15 @@ jobs:
environment: 'prod' environment: 'prod'
strategy: strategy:
matrix: matrix:
cuda_version: ['12.6.1', '12.8.1'] cuda_version: ['12.6.1', '12.8.1', '12.9.1']
build_type: ['all', 'blackwell'] build_type: ['all', 'blackwell']
exclude: exclude:
- cuda_version: '12.6.1' - cuda_version: '12.6.1'
build_type: 'blackwell' build_type: 'blackwell'
- cuda_version: '12.8.1' - cuda_version: '12.8.1'
build_type: 'all' build_type: 'all'
- cuda_version: '12.9.1'
build_type: 'all'
steps: steps:
- name: Delete huge unnecessary tools folder - name: Delete huge unnecessary tools folder
run: rm -rf /opt/hostedtoolcache run: rm -rf /opt/hostedtoolcache
@@ -61,6 +63,8 @@ jobs:
cuda_tag="cu126" cuda_tag="cu126"
elif [ "${{ matrix.cuda_version }}" = "12.8.1" ]; then elif [ "${{ matrix.cuda_version }}" = "12.8.1" ]; then
cuda_tag="cu128" cuda_tag="cu128"
elif [ "${{ matrix.cuda_version }}" = "12.9.1" ]; then
cuda_tag="cu129"
else else
echo "Unsupported CUDA version" echo "Unsupported CUDA version"
exit 1 exit 1
@@ -86,3 +90,8 @@ jobs:
docker tag lmsysorg/sglang:${tag}${tag_suffix} lmsysorg/sglang:latest${tag_suffix} docker tag lmsysorg/sglang:${tag}${tag_suffix} lmsysorg/sglang:latest${tag_suffix}
docker push lmsysorg/sglang:latest${tag_suffix} docker push lmsysorg/sglang:latest${tag_suffix}
fi fi
if [ "${{ matrix.cuda_version }}" = "12.9.1" ]; then
docker tag lmsysorg/sglang:${tag}${tag_suffix} lmsysorg/sglang:v${version}
docker push lmsysorg/sglang:v${version}
fi

2
benchmark/deepseek_v3/README.md
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@@ -33,7 +33,7 @@ Add [performance optimization options](#performance-optimization-options) as nee
```bash ```bash
# Installation # Installation
pip install "sglang[all]>=0.5.2rc2" pip install "sglang[all]>=0.5.2"
# Launch # Launch
python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3 --tp 8 --trust-remote-code python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3 --tp 8 --trust-remote-code

2
docker/Dockerfile
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@@ -1,4 +1,4 @@
ARG CUDA_VERSION=12.6.1 ARG CUDA_VERSION=12.9.1
FROM nvidia/cuda:${CUDA_VERSION}-cudnn-devel-ubuntu22.04 as base FROM nvidia/cuda:${CUDA_VERSION}-cudnn-devel-ubuntu22.04 as base
ARG BUILD_TYPE=all ARG BUILD_TYPE=all

6
docker/Dockerfile.rocm
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@@ -1,7 +1,7 @@
# Usage (to build SGLang ROCm docker image): # Usage (to build SGLang ROCm docker image):
# docker build --build-arg SGL_BRANCH=v0.5.2rc2 --build-arg GPU_ARCH=gfx942 -t v0.5.2rc2-rocm630-mi30x -f Dockerfile.rocm . # docker build --build-arg SGL_BRANCH=v0.5.2 --build-arg GPU_ARCH=gfx942 -t v0.5.2-rocm630-mi30x -f Dockerfile.rocm .
# docker build --build-arg SGL_BRANCH=v0.5.2rc2 --build-arg GPU_ARCH=gfx942-rocm700 -t v0.5.2rc2-rocm700-mi30x -f Dockerfile.rocm . # docker build --build-arg SGL_BRANCH=v0.5.2 --build-arg GPU_ARCH=gfx942-rocm700 -t v0.5.2-rocm700-mi30x -f Dockerfile.rocm .
# docker build --build-arg SGL_BRANCH=v0.5.2rc2 --build-arg GPU_ARCH=gfx950 -t v0.5.2rc2-rocm700-mi35x -f Dockerfile.rocm . # docker build --build-arg SGL_BRANCH=v0.5.2 --build-arg GPU_ARCH=gfx950 -t v0.5.2-rocm700-mi35x -f Dockerfile.rocm .
# Default base images # Default base images

4
docs/get_started/install.md
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@@ -12,7 +12,7 @@ It is recommended to use uv for faster installation:
```bash ```bash
pip install --upgrade pip pip install --upgrade pip
pip install uv pip install uv
uv pip install "sglang[all]>=0.5.2rc2" uv pip install "sglang[all]>=0.5.2"
``` ```
**Quick fixes to common problems** **Quick fixes to common problems**
@@ -24,7 +24,7 @@ uv pip install "sglang[all]>=0.5.2rc2"
```bash ```bash
# Use the last release branch # Use the last release branch
git clone -b v0.5.2rc2 https://github.com/sgl-project/sglang.git git clone -b v0.5.2 https://github.com/sgl-project/sglang.git
cd sglang cd sglang
# Install the python packages # Install the python packages

2
docs/platforms/amd_gpu.md
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@@ -44,7 +44,7 @@ You can install SGLang using one of the methods below.
```bash ```bash
# Use the last release branch # Use the last release branch
git clone -b v0.5.2rc2 https://github.com/sgl-project/sglang.git git clone -b v0.5.2 https://github.com/sgl-project/sglang.git
cd sglang cd sglang
# Compile sgl-kernel # Compile sgl-kernel

2
docs/platforms/ascend_npu.md
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@@ -99,7 +99,7 @@ We are also providing a DeepEP-compatible Library as a drop-in replacement of de
```shell ```shell
# Use the last release branch # Use the last release branch
git clone -b v0.5.2rc2 https://github.com/sgl-project/sglang.git git clone -b v0.5.2 https://github.com/sgl-project/sglang.git
cd sglang cd sglang
pip install --upgrade pip pip install --upgrade pip

4
python/pyproject.toml
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@@ -4,8 +4,8 @@ build-backend = "setuptools.build_meta"
[project] [project]
name = "sglang" name = "sglang"
version = "0.5.2rc2" version = "0.5.2"
description = "SGLang is yet another fast serving framework for large language models and vision language models." description = "SGLang is a fast serving framework for large language models and vision language models."
readme = "README.md" readme = "README.md"
requires-python = ">=3.10" requires-python = ">=3.10"
license = { file = "LICENSE" } license = { file = "LICENSE" }

2
python/sglang/version.py
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@@ -1 +1 @@
__version__ = "0.5.2rc2" __version__ = "0.5.2"