pytorch autograd
时间: 2023-10-24 14:37:01 浏览: 42
PyTorch autograd is the differentiation engine in PyTorch. It is a computational graph-based automatic differentiation engine that allows users to define and compute gradients of functions or neural networks. Autograd is PyTorch's automatic differentiation library that provides the ability to compute gradients of arbitrary functions. It automatically differentiates each operation and stores the gradient information for each tensor, which allows users to compute gradients of functions with respect to their inputs. Autograd is a powerful tool that enables users to train deep learning models using backpropagation. It is an essential component of PyTorch that enables users to perform efficient gradient-based optimization and deep learning.