原地摇动火炬。张量按numpy.ndarray的顺序

这应该是一个就地版本:

import torch
import numpy as np

t = torch.rand(10)
print('Original Tensor:', t)

order = np.array(range(10))
np.random.shuffle(order)
print('Order:', order)

# in-place changing of values
t[np.array(range(10))] = t[order]
print('New Tensor:', t)

输出:

Original Tensor: tensor([ 0.3380,  0.3450,  0.2253,  0.0279,  0.3945,  0.6055,  0.1489,
         0.7676,  0.4213,  0.2683])
Order: [7 1 3 6 2 9 0 5 4 8]
New Tensor: tensor([ 0.7676,  0.3450,  0.0279,  0.1489,  0.2253,  0.2683,  0.3380,
         0.6055,  0.3945,  0.4213])