PyTorch supports dynamic computation graphs, which allows developers to ... as nn and optim provide a structured way to define the architecture of neural networks, as well as various optimization ...

PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single dataflow graph, optimizes the graph code for performance, and then trains the model.