upgrade torch version for sgl-kernel (#3026)
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16
.github/workflows/pr-test-sgl-kernel.yml
vendored
16
.github/workflows/pr-test-sgl-kernel.yml
vendored
@@ -34,16 +34,16 @@ jobs:
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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runs-on: 1-gpu-runner
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runs-on: 1-gpu-runner
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steps:
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steps:
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- name: Checkout code
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- uses: actions/checkout@v4
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uses: actions/checkout@v3
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with:
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submodules: 'recursive'
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- name: Install dependencies
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- name: Install
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run: |
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run: |
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bash scripts/ci_install_dependency.sh
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pip3 install torch==2.5.1
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pip3 uninstall sgl-kernel -y || true
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cd sgl-kernel
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cd sgl-kernel
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git submodule update --init --recursive
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pip3 install .
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pip3 install -e . --force-reinstall
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pip3 list | grep sgl-kernel
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pip3 list | grep sgl-kernel
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- name: Run test
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- name: Run test
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@@ -57,7 +57,7 @@ jobs:
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pip3 uninstall sgl-kernel -y
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pip3 uninstall sgl-kernel -y
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finish:
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finish:
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needs: [unit-test]
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needs: [unit-test, lint]
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runs-on: ubuntu-latest
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runs-on: ubuntu-latest
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steps:
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steps:
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- name: Finish
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- name: Finish
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@@ -8,7 +8,7 @@ docker run --rm \
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-v "$(pwd)":/sgl-kernel \
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-v "$(pwd)":/sgl-kernel \
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pytorch/manylinux-builder:cuda${CUDA_VERSION} \
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pytorch/manylinux-builder:cuda${CUDA_VERSION} \
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bash -c "
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bash -c "
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${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir torch==2.4.0 --index-url https://download.pytorch.org/whl/cu${CUDA_VERSION//.} && \
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${PYTHON_ROOT_PATH}/bin/pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cu${CUDA_VERSION//.} && \
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export TORCH_CUDA_ARCH_LIST='7.5 8.0 8.9 9.0+PTX' && \
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export TORCH_CUDA_ARCH_LIST='7.5 8.0 8.9 9.0+PTX' && \
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export CUDA_VERSION=${CUDA_VERSION} && \
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export CUDA_VERSION=${CUDA_VERSION} && \
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mkdir -p /usr/lib/x86_64-linux-gnu/ && \
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mkdir -p /usr/lib/x86_64-linux-gnu/ && \
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