Optimization of data initialization for large sparce datasets #5497
Workflow file for this run
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| name: XGBoost-i386-test | |
| on: [push, pull_request] | |
| permissions: | |
| contents: read # to fetch code (actions/checkout) | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| build-32bit: | |
| name: Build 32-bit | |
| runs-on: | |
| - runs-on=${{ github.run_id }} | |
| - runner=linux-amd64-cpu | |
| - tag=i386-build-32bit | |
| steps: | |
| # Restart Docker daemon so that it recognizes the ephemeral disks | |
| - run: sudo systemctl restart docker | |
| - uses: actions/checkout@v4 | |
| with: | |
| submodules: "true" | |
| - name: Log into Docker registry (AWS ECR) | |
| run: bash ops/pipeline/login-docker-registry.sh | |
| - run: bash ops/pipeline/test-cpp-i386.sh |