torch.Tensor

torch.Tensor is a class in the PyTorch library that represents a multi-dimensional array of values. It is a fundamental data structure used in PyTorch for performing mathematical operations on data. A tensor can have any number of dimensions and can be created with various types of data such as integers, floating-point numbers, or boolean values. Tensors can be modified, sliced, concatenated, and reshaped, making them a versatile tool for deep learning applications. Tensors can be created using various methods such as torch.empty(), torch.zeros(), torch.ones(), torch.rand(), and more.