Use Monarch 0.1.0rc4 & PyTorch 2.9.0 stable #6
Workflow file for this run
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| name: Build pinned vLLM against PyTorch nightly and upload | |
| on: | |
| push: | |
| branches: | |
| - nightly | |
| workflow_dispatch: | |
| pull_request: # Remove this before landing | |
| permissions: | |
| id-token: write | |
| contents: read | |
| jobs: | |
| build: | |
| name: forge-cu128-nightly | |
| uses: pytorch/test-infra/.github/workflows/build_wheels_linux.yml@main | |
| strategy: | |
| fail-fast: false | |
| with: | |
| repository: meta-pytorch/forge | |
| ref: "" | |
| test-infra-repository: pytorch/test-infra | |
| test-infra-ref: main | |
| run-smoke-test: false | |
| wheel-nightly-policy: gha_workflow_preview_build_wheels | |
| wheel-upload-path: whl/preview/forge/ | |
| package-name: forge | |
| build-matrix: | | |
| { | |
| "include": [ | |
| { | |
| "python_version": "3.10", | |
| "gpu_arch_type": "cpu", | |
| "gpu_arch_version": "12.8", | |
| "desired_cuda": "cu128", | |
| "container_image": "pytorch/manylinux2_28-builder:cuda12.8", | |
| "package_type": "manywheel", | |
| "build_name": "manywheel-py3_10-cuda12_8", | |
| "validation_runner": "linux.12xlarge.memory", | |
| "installation": "pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128", | |
| "channel": "nightly", | |
| "upload_to_base_bucket": "no", | |
| "stable_version": "2.9.0", | |
| "use_split_build": false | |
| } | |
| ] | |
| } | |
| pre-script: .github/packaging/pre_build_cpu.sh | |
| post-script: .github/packaging/post_build_script.sh | |
| trigger-event: ${{ github.event_name }} | |
| build-platform: 'python-build-package' |