Satyam Srivastava
e71d01648c
- Preserve existing CI and add configurable GPU backend routing - Limit execution to 2 active PRs, 4 GPUs per PR, and 8 GPUs total - Add persistent admission, cancellation recovery, and backend statuses - Document deployment and add infrastructure regression tests
26 lines
827 B
JSON
26 lines
827 B
JSON
{
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"repository": "https://github.com/hao-ai-lab/FastVideo.git",
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"default_backend": "slurm",
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"slurm_uploader": ["/opt/fastvideo-ci-runner/pipeline-upload"],
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"queue": "gpu-ci-dispatch",
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"state_path": "/var/lib/fastvideo-gpu-ci/admission.sqlite3",
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"artifacts_dir": "/var/lib/fastvideo-gpu-ci/runs",
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"max_active_prs": 2,
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"max_gpus_per_pr": 4,
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"max_gpus": 8,
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"queue_timeout_seconds": 21600,
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"upload_artifacts": true,
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"kubernetes": {
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"namespace": "vllm",
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"image": "ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev@sha256:REPLACE_WITH_REVIEWED_ARM64_SM100_DIGEST",
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"cpu": "8",
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"memory": "64Gi",
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"shared_memory": "8Gi"
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},
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"modal": {
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"app": "fastvideo-gpu-ci",
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"gpu": "L40S",
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"image": "ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev@sha256:REPLACE_WITH_REVIEWED_AMD64_SM89_DIGEST"
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}
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}
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