The torch.profiler module allows developers to track CPU and GPU execution times across specific code blocks. This guide explains how to identify bottlenecks and optimize memory allocation during model training. It is a standard technical tutorial. Practitioners can use these insights to reduce latency and improve hardware utilization in PyTorch workflows.