The whole of PyTorch on one page
Summary
This article offers a detailed, visual tour of PyTorch internals, explaining how Python code crosses into compiled C++/CUDA, how the dispatcher selects kernels, and how memory and two clocks affect performance. It provides runnable proofs and diagrams to illustrate the relationships between forward and backward passes, the graph, and the PyTorch ecosystem.