What problem does it solve?
This Skill resolves how PyTorch CI jobs map from workflow runner labels to their actual runner fleet and infrastructure, preventing misrouting between legacy EC2 autoscaling and current ARC on EKS.
Core Features & Use Cases
- Runner Resolution: Trace runs-on values, test matrices, fleet prefixes, and reusable workflow outputs to determine the runner a job will use.
- Infrastructure Identification: Distinguish Meta OSDC ARC, Linux Foundation OSDC ARC, legacy ALI EC2, and identity-passthrough partner runners.
- Routing Diagnostics: Analyze experiment rollouts, EC2-to-ARC translation, Meta-only H100 and B200 overrides, build-test decoupling, and missing mapping failures.
- Use Case: When a PyTorch GPU job is queued unexpectedly, use this Skill to determine its final label, owning infrastructure, experiment settings, and likely capacity or mapping issue.
Quick Start
Use the PyTorch runners routing skill to trace the workflow and test matrix for the specified job, then report its final runner label, infrastructure, fleet owner, and any routing risks.