Release v0.3.5 (#1908)

docker/Dockerfile.rocm

 # Usage (to build SGLang ROCm docker image):
-#   docker build --build-arg SGL_BRANCH=v0.3.4.post2 -t testImage -f Dockerfile.rocm .
+#   docker build --build-arg SGL_BRANCH=v0.3.5 -t testImage -f Dockerfile.rocm .
 
 # default base image
 ARG BASE_IMAGE="rocm/vllm-dev:20241022"

docs/start/install.md

@@ -16,7 +16,7 @@ Note: Please check the [FlashInfer installation doc](https://docs.flashinfer.ai/
 ## Method 2: From source
 ```
 # Use the last release branch
-git clone -b v0.3.4.post2 https://github.com/sgl-project/sglang.git
+git clone -b v0.3.5 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 = "0.3.4.post2"
+version = "0.3.5"
 description = "SGLang is yet another fast serving framework for large language models and vision language models."
 readme = "README.md"
 requires-python = ">=3.8"

python/sglang/version.py

-__version__ = "0.3.4.post2"
+__version__ = "0.3.5"