The whole of PyTorch on one page

PyTorch consists of eight architectural layers between user code and hardware chips, with Python functions like `torch.randn` actually being compiled C++ code stored in shared libraries rather than pure Python. This series explains what happens at each layer—from Python interfaces down through C++ implementation, computational graphs, kernel selection, and memory management—with all measurements reproducible on the reader's own machine.