Verify Training Pipeline

Systematically verify that a CVlization training example is complete, properly structured, and functional.

When to Use

• Validating a new or modified training example
• Debugging training pipeline issues
• Ensuring example completeness before commits
• Verifying example works after CVlization updates

Important Context

Shared GPU Environment: This machine may be used by multiple users simultaneously. Before running GPU-intensive training:

1. Check GPU memory availability with nvidia-smi
2. Wait for sufficient VRAM and low GPU utilization if needed
3. Consider stopping other processes if you have permission
4. If CUDA OOM errors occur, wait and retry when GPU is less busy