Tutorials
Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
This guide introduces torch.profiler, PyTorch's built-in profiling tool for analyzing model performance and identifying computational bottlenecks. It covers the basics of using the profiler to measure
This guide introduces torch.profiler, PyTorch's built-in profiling tool for analyzing model performance and identifying computational bottlenecks. It covers the basics of using the profiler to measure execution time, memory usage, and other metrics to optimize PyTorch models. The article is designed for beginners looking to understand how to profile their code for performance improvements.
Source: Hugging Face | 2026-05-29