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use cpu8 GHA runners
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.github/workflows/build.yaml

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@@ -39,7 +39,7 @@ jobs:
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build_type: ${{ inputs.build_type || 'branch' }}
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branch: ${{ inputs.branch }}
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date: ${{ inputs.date }}
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node_type: cpu16
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node_type: cpu8
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script: ci/build_cpp.sh
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sha: ${{ inputs.sha }}
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sccache-dist-token-secret-name: GIST_REPO_READ_ORG_GITHUB_TOKEN
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branch: ${{ inputs.branch }}
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sha: ${{ inputs.sha }}
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date: ${{ inputs.date }}
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node_type: cpu16
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node_type: cpu8
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script: ci/build_wheel_libcuvs.sh
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# build for every combination of arch and CUDA version, but only for the latest Python
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matrix_filter: group_by([.ARCH, (.CUDA_VER|split(".")|map(tonumber)|.[0])]) | map(max_by(.PY_VER|split(".")|map(tonumber)))

.github/workflows/pr.yaml

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@@ -116,7 +116,7 @@ jobs:
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uses: rapidsai/shared-workflows/.github/workflows/conda-cpp-build.yaml@main
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with:
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build_type: pull-request
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node_type: cpu16
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node_type: cpu8
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script: ci/build_cpp.sh
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sccache-dist-token-secret-name: GIST_REPO_READ_ORG_GITHUB_TOKEN
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conda-cpp-tests:
@@ -224,7 +224,7 @@ jobs:
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uses: rapidsai/shared-workflows/.github/workflows/wheels-build.yaml@main
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with:
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build_type: pull-request
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node_type: cpu16
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node_type: cpu8
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script: ci/build_wheel_libcuvs.sh
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# build for every combination of arch and CUDA version, but only for the latest Python
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matrix_filter: group_by([.ARCH, (.CUDA_VER|split(".")|map(tonumber)|.[0])]) | map(max_by(.PY_VER|split(".")|map(tonumber)))

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