The torch.profiler module allows developers to track CPU and GPU execution times for specific operations. This guide explains how to identify bottlenecks by analyzing operator latency and memory usage. Practitioners can optimize model performance by pinpointing slow kernels. It is a standard technical walkthrough for those managing PyTorch inference efficiency.