The torch.profiler tool allows developers to analyze execution time and memory usage of PyTorch models. This guide demonstrates how to identify bottlenecks in GPU utilization and CPU-side overhead. Practitioners can use these insights to optimize kernel execution. It is a standard technical walkthrough for those struggling with slow training loops.