torch.Tensor
时间: 2023-12-02 15:22:40 浏览: 115
torch.Tensor is a multi-dimensional array in PyTorch, similar to a NumPy array. It is the fundamental data structure of PyTorch and is used to store and manipulate data in deep learning models. A tensor can be created with the torch.Tensor() constructor or by converting a NumPy array to a PyTorch tensor using the torch.from_numpy() function. Tensors can be manipulated using a wide range of mathematical operations and can be moved to different devices, such as a GPU, using the to() method.
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torch.tensor
torch.tensor is a class in the PyTorch library that creates a multi-dimensional matrix of numbers. It is used for numerical computations and machine learning applications. It can be initialized with a list, tuple, NumPy array, or another tensor. It supports a variety of operations such as addition, subtraction, multiplication, and division. It can also be used for gradient calculations and automatic differentiation.
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