Automatic Differentiation with torch.autograd, PyTorch Core Team, 2024 (PyTorch) - This official documentation provides a comprehensive explanation of PyTorch's autograd engine, detailing the dynamic computational graph, grad_fn attributes, and the backward pass mechanism.
Dive into Deep Learning, Aston Zhang, Zachary C. Lipton, Mu Li, and Alex Smola, 2024 (Cambridge University Press) - A widely-used online textbook offering accessible explanations of deep learning concepts, including computational graphs and automatic differentiation, often illustrated with PyTorch examples.