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Merge build-cuda and build-linux actions (#2783)
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7
.github/actions/setup-linux/action.yml
vendored
7
.github/actions/setup-linux/action.yml
vendored
@@ -51,8 +51,6 @@ runs:
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# Note: the CI machine does not meet CUDA 13's driver requirement.
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# Compatibility matrix:
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# https://docs.nvidia.com/deeplearning/cudnn/backend/latest/reference/support-matrix.html
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# The `nvcc` is installed into `/usr/local/cuda-VERSION/bin/nvcc` - but
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# it's *not* on the default toolkit path.
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PACKAGES: |
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{
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"cuda-12.6": "libcudnn9-dev-cuda-12 cuda-toolkit-12-6",
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@@ -60,13 +58,16 @@ runs:
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"cuda-13.0": "libcudnn9-dev-cuda-13 cuda-toolkit-13-0"
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}
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run: |
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export ARCH=${{ runner.arch == 'arm64' && 'arm64' || 'x86_64' }}
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# The CUDA binaries are hosted in the "sbsa" repo, the "arm64" repo is
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# Jetson specific. SBSA means Arm Server Base System Architecture.
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ARCH=${{ runner.arch == 'arm64' && 'sbsa' || 'x86_64' }}
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wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/$ARCH/cuda-keyring_1.1-1_all.deb
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sudo dpkg -i cuda-keyring_1.1-1_all.deb
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sudo apt-get update
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sudo apt-get install -y \
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libnccl2 libnccl-dev \
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${{ fromJson(env.PACKAGES)[inputs.toolkit] }}
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echo "/usr/local/${{ inputs.toolkit }}/bin" >> $GITHUB_PATH
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- name: CUDA packages and driver report
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if: ${{ startsWith(inputs.toolkit, 'cuda') }}
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