pytorch的tensor与numpy数组转换

看代码,tensor转numpy:
a = torch.ones(2,2)
b = a.numpy()
print(type(a))
print(type(b))
print(a)
print(b)
输出为:
<class ‘torch.Tensor’>
<class ‘numpy.ndarray’>
tensor([[1., 1.],
[1., 1.]])
[[1. 1.]
[1. 1.]]

numpy转tensor:
import torch
import numpy as np

a = np.ones(5)
b = torch.from_numpy(a)
print(type(a))
print(type(b))
print(a)
print(b)
输出为:
<class ‘numpy.ndarray’>
<class ‘torch.Tensor’>
[1. 1. 1. 1. 1.]
tensor([1., 1., 1., 1., 1.], dtype=torch.float64)
可见pytorch的tensor对象与numpy数组是可以相互转换的,且numpy数组的默认类型是double

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转载自blog.csdn.net/qq_33345917/article/details/86552152