Internal Implementation of Tensors in PyTorch

Tensors serve as the fundamental data structure in PyTorch, enabling efficient computation and manipulation of multi-dimensional arrays. Understanding the underlying implementation of tensors is crucial for comprehending PyTorch's computational graph execution, automatic differentiation, and GPU acceleration capabilities.

In this OpenGenusarticle, we'll delve into the internals of how tensors are implemented in PyTorch, referencing the code from various components of the PyTorch source code repo...