PyTorch's torch.profiler is a powerful tool for performance analysis and optimization of AI models. This beginner-friendly guide introduces the basics of profiling PyTorch models using torch.profiler.
The guide walks through step-by-step instructions on how to use the profiler to capture detailed execution metrics. Users learn to identify bottlenecks and understand runtime behavior, helping improve model efficiency.
Profiling is a key step for developers seeking to enhance the speed and resource usage of their AI workflows. Proper use of torch.profiler enables targeted optimization based on real data from model runs.
