torch.Tensor
时间: 2023-12-02 10:14:22 浏览: 108
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.
相关问题
torch.tensor
`torch.tensor`是PyTorch中创建张量(tensor)的函数,它可以将Python的list、tuple、NumPy的ndarray等数据类型转换为PyTorch中的张量。张量是PyTorch中最基本的数据类型,类似于Numpy中的多维数组,但它可以在GPU上运算并且支持自动求导。例如,可以使用以下代码创建一个3行2列的张量:
```
import torch
data = [[1, 2], [3, 4], [5, 6]]
tensor = torch.tensor(data)
print(tensor)
```
输出结果为:
```
tensor([[1, 2],
[3, 4],
[5, 6]])
```
阅读全文