The torch.profiler tool identifies execution bottlenecks by tracking CPU and GPU activity. This guide teaches developers how to analyze operator execution times and memory usage. It focuses on the profile context manager for precise timing. Practitioners can now pinpoint inefficient layers to optimize model latency and reduce hardware overhead during training.