Use Monarch 0.1.0rc4 & PyTorch 2.9.0 stable #68
Workflow file for this run
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| name: Build pinned vLLM against PyTorch stable and upload | ||
| on: | ||
| workflow_dispatch: | ||
| pull_request: # Remove this before landing | ||
| permissions: | ||
| id-token: write | ||
| contents: read | ||
| jobs: | ||
| build: | ||
| name: forge-cu128 | ||
| uses: pytorch/test-infra/.github/workflows/build_wheels_linux.yml@main | ||
| strategy: | ||
| fail-fast: false | ||
| with: | ||
| repository: meta-pytorch/forge | ||
| ref: main | ||
| test-infra-repository: pytorch/test-infra | ||
| test-infra-ref: vllm-push | ||
| run-smoke-test: false | ||
| channel: test | ||
|
Check failure on line 23 in .github/workflows/build_vllm.yaml
|
||
| # env-var-script: .github/packaging/export_channel_test.sh | ||
| # wheel-nightly-policy: gha_workflow_preview_build_wheels | ||
| # wheel-upload-path: whl/test/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 torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128", | ||
| "channel": "test", | ||
| "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' | ||
