torch.tensor
时间: 2023-10-21 14:37:30 浏览: 124
Python库 | torch-tensor-type-0.0.1.tar.gz
torch.tensor is a multidimensional array or tensor that is the basic building block of PyTorch. It is a data structure used to represent and store data in PyTorch, and is similar in functionality to NumPy arrays.
A torch.Tensor is a type of data structure that can store numerical data, including integers, floating-point numbers, and complex numbers. It can be created from a variety of sources, including Python lists, NumPy arrays, and other PyTorch tensors.
Tensors in PyTorch are used to perform various operations such as arithmetic, linear algebra, and machine learning algorithms. They can also be used for storing and manipulating images, audio, and video data.
Tensors can be created with different data types (such as float, int, etc.), different shapes (such as 1D, 2D, or 3D), and different devices (such as CPU or GPU).
Overall, torch.tensor is a core component of PyTorch and is essential for building and training neural networks and other machine learning models.
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