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chore: bump sgl-kernel v0.2.5 (#7964)
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docker/Dockerfile

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@@ -58,7 +58,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel html5li
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&& python3 -m pip install --no-cache-dir -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} \
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&& if [ "$CUDA_VERSION" = "12.8.1" ]; then \
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python3 -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.5 --force-reinstall --no-deps ; \
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python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.2.4/sgl_kernel-0.2.4+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ; \
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python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.2.5/sgl_kernel-0.2.5+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ; \
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fi
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# Build and install NVSHMEM + DeepEP

sgl-kernel/pyproject.toml

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@@ -8,7 +8,7 @@ build-backend = "scikit_build_core.build"
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[project]
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name = "sgl-kernel"
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version = "0.2.4"
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version = "0.2.5"
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description = "Kernel Library for SGLang"
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readme = "README.md"
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requires-python = ">=3.9"

sgl-kernel/pyproject_cpu.toml

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@@ -8,7 +8,7 @@ build-backend = "scikit_build_core.build"
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[project]
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name = "sgl-kernel"
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version = "0.2.4"
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version = "0.2.5"
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description = "Kernel Library for SGLang"
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readme = "README.md"
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requires-python = ">=3.9"

sgl-kernel/pyproject_rocm.toml

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@@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
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[project]
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name = "sgl-kernel"
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version = "0.2.4"
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version = "0.2.5"
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description = "Kernel Library for SGLang"
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readme = "README.md"
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requires-python = ">=3.9"
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__version__ = "0.2.4"
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__version__ = "0.2.5"

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