Hardware2d ago
Hugging Face Guides PyTorch Profiling Basics
The torch.profiler tool identifies execution bottlenecks by tracking CPU and GPU activity. This guide explains how to record operator durations and analyze memory consumption within PyTorch workflows. It provides a foundational starting point for developers. Optimizing these metrics reduces latency and lowers compute costs for large-scale model inference.