Guide To PyTorch Profiling Tools
torch.profiler module allows developers to track CPU and GPU execution times during model training. This guide explains how to identify bottlenecks using PyTorch and visualize results via TensorBoard. It is a basic primer for optimizing hardware utilization. Practitioners can use these tools to reduce latency and improve throughput in production.