Profiling PyTorch training without accidentally stalling the GPU [D]

In three linesPyTorch profiling technique using CUDA events to measure performance without GPU synchronization overhead. Lightweight alternative to torch.cuda.synchronize() and heavy tools (PyTorch Profiler, Nsight) for diagnosing training bottlenecks.

Summary generated by Claude — human-verified