[r/ML] [P] TraceML: wrap your PyTorch training step in single context manager and see what’s slowing training live

Summary

TraceML is an open-source tool designed to provide live runtime visibility for PyTorch training, helping users quickly identify performance bottlenecks. By simply wrapping a training step in a context manager, it offers insights into dataloader fetch times, forward/backward/optimizer timings, GPU memory usage, and distributed training imbalances. This tool aims to diagnose why training runs are slow, offering a compact end-of-run summary.

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