chore: bump sgl-kernel v0.2.9 (#8713)

docker/Dockerfile

@@ -63,7 +63,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel html5li
  && python3 -m pip install --no-cache-dir -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} \
  && python3 -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.6 --force-reinstall --no-deps \
  && if [ "$CUDA_VERSION" = "12.8.1" ]; then \
-      python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.2.8/sgl_kernel-0.2.8+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ; \
+      python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.2.9/sgl_kernel-0.2.9+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ; \
     fi
 
 # Build and install NVSHMEM + DeepEP

sgl-kernel/pyproject.toml

@@ -8,7 +8,7 @@ build-backend = "scikit_build_core.build"
 
 [project]
 name = "sgl-kernel"
-version = "0.2.8"
+version = "0.2.9"
 description = "Kernel Library for SGLang"
 readme = "README.md"
 requires-python = ">=3.9"

sgl-kernel/pyproject_cpu.toml

@@ -8,7 +8,7 @@ build-backend = "scikit_build_core.build"
 
 [project]
 name = "sgl-kernel"
-version = "0.2.8"
+version = "0.2.9"
 description = "Kernel Library for SGLang"
 readme = "README.md"
 requires-python = ">=3.9"

sgl-kernel/pyproject_rocm.toml

@@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sgl-kernel"
-version = "0.2.8"
+version = "0.2.9"
 description = "Kernel Library for SGLang"
 readme = "README.md"
 requires-python = ">=3.9"

sgl-kernel/python/sgl_kernel/version.py

-__version__ = "0.2.8"
+__version__ = "0.2.9"