PyTorch Tensors, PyTorch developers, 2024 - The official documentation providing a foundational understanding of torch.Tensor objects and their core mathematical, indexing, and reshaping operations.
Tensors, TensorFlow developers, 2024 - TensorFlow's official guide to tf.Tensor objects and their operations, serving as a basis for comparison with PyTorch's tensor functionalities.
Deep Learning with PyTorch, Eli Stevens, Luca Antiga, and Thomas Viehmann, 2020 (Manning Publications) - A comprehensive book that provides in-depth explanations of PyTorch fundamentals, including tensor operations and their practical application in deep learning.
Broadcasting semantics, PyTorch developers, 2021 (PyTorch Foundation) - Official documentation explaining the rules and behavior of broadcasting in PyTorch, which is fundamental for combining tensors of different shapes.
In-place operations with autograd, PyTorch developers, 2017 (PyTorch Foundation) - A specific note in the PyTorch documentation addressing the nature and considerations of in-place operations, especially their interaction with the autograd engine.