chore: bump v0.5.0rc2 (#9203)

Makefile

@@ -19,8 +19,10 @@ format: check-deps ## Format modified Python files using isort and black
 FILES_TO_UPDATE = docker/Dockerfile.rocm \
                  python/pyproject.toml \
                  python/sglang/version.py \
-                 docs/references/setup_github_runner.md \
-                 docs/start/install.md \
+                 docs/developer_guide/setup_github_runner.md \
+                 docs/get_started/install.md \
+                 docs/platforms/amd_gpu.md \
+                 docs/platforms/ascend_npu.md \
 				 benchmark/deepseek_v3/README.md
 
 update: ## Update version numbers across project files. Usage: make update <new_version>

benchmark/deepseek_v3/README.md

@@ -33,7 +33,7 @@ Add [performance optimization options](#performance-optimization-options) as nee
 
 ```bash
 # Installation
-pip install "sglang[all]>=0.5.0rc1"
+pip install "sglang[all]>=0.5.0rc2"
 
 # Launch
 python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3 --tp 8 --trust-remote-code

docs/developer_guide/setup_github_runner.md

@@ -11,9 +11,9 @@ docker pull nvidia/cuda:12.1.1-devel-ubuntu22.04
 # Nvidia
 docker run --shm-size 128g -it -v /tmp/huggingface:/hf_home --gpus all nvidia/cuda:12.1.1-devel-ubuntu22.04 /bin/bash
 # AMD
-docker run --rm --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc0-rocm630 /bin/bash
+docker run --rm --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc1-rocm630 /bin/bash
 # AMD just the last 2 GPUs
-docker run --rm --device=/dev/kfd --device=/dev/dri/renderD176 --device=/dev/dri/renderD184 --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc0-rocm630 /bin/bash
+docker run --rm --device=/dev/kfd --device=/dev/dri/renderD176 --device=/dev/dri/renderD184 --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc1-rocm630 /bin/bash
 ```
 
 ### Step 2: Configure the runner by `config.sh`

docs/get_started/install.md

@@ -12,7 +12,7 @@ It is recommended to use uv for faster installation:
 ```bash
 pip install --upgrade pip
 pip install uv
-uv pip install "sglang[all]>=0.5.0rc0"
+uv pip install "sglang[all]>=0.5.0rc2"
 ```
 
 **Quick fixes to common problems**
@@ -25,7 +25,7 @@ uv pip install "sglang[all]>=0.5.0rc0"
 
 ```bash
 # Use the last release branch
-git clone -b v0.5.0rc0 https://github.com/sgl-project/sglang.git
+git clone -b v0.5.0rc2 https://github.com/sgl-project/sglang.git
 cd sglang
 
 # Install the python packages

docs/platforms/amd_gpu.md

@@ -44,7 +44,7 @@ You can install SGLang using one of the methods below.
 
 ```bash
 # Use the last release branch
-git clone -b v0.5.0rc0 https://github.com/sgl-project/sglang.git
+git clone -b v0.5.0rc2 https://github.com/sgl-project/sglang.git
 cd sglang
 
 # Compile sgl-kernel

docs/platforms/ascend_npu.md

@@ -99,7 +99,7 @@ We are also providing a DeepEP-compatible Library as a drop-in replacement of de
 
 ```shell
 # Use the last release branch
-git clone -b v0.5.0rc0 https://github.com/sgl-project/sglang.git
+git clone -b v0.5.0rc2 https://github.com/sgl-project/sglang.git
 cd sglang
 
 pip install --upgrade pip

python/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sglang"
-version = "0.5.0rc1"
+version = "0.5.0rc2"
 description = "SGLang is yet another fast serving framework for large language models and vision language models."
 readme = "README.md"
 requires-python = ">=3.10"

python/sglang/version.py

-__version__ = "0.5.0rc1"
+__version__ = "0.5.0rc2"