training-chain

You can visualize SLURM job ancestry by aggregating job IDs, logs, and sacct data into a deterministic ASCII chain. This renders the full execution sequence from the root smoke test to the current running job, including step numbers and exit states.

Yes, tracing auto-resume transitions across multiple SLURM jobs is done by resolving inputs from squeue, sacct, and logs. The visualization reveals checkpoint events and transition reasons to simplify debugging bottlenecks and restarts.

Auditing walltime interruptions is best done by rendering a complete training chain visualization from root to current. It aggregates scattered logs and squeue outputs into a fixed-format sequence showing exit states and W&B slugs.

Rendering SLURM job history requires no specific external dependencies. It directly resolves job data from standard HPC tools like squeue, sacct, and existing log files to produce the fixed-format ASCII chain.

A resumed training chain fails to connect correctly when auto-resume transitions or checkpoint events are not properly traced. Visualizing the complete ancestry from root to current verifies the connection and reveals transition reasons.

You need to generate a training chain visualization when auditing long HPC experiments or diagnosing walltime interruptions. It turns scattered logs and squeue outputs into a single, easy-to-read sequence tracking statuses and restarts.