Hardware
91d agoGuide to PyTorch Profiling Tools
The torch.profiler module identifies execution bottlenecks by tracking CPU and GPU activity. This guide explains how to wrap training loops to analyze operator latency and memory usage. It provides a baseline for optimizing model throughput.
The Signal
Developers can now pinpoint specific kernels causing slowdowns to improve hardware utilization during large-scale training runs.