Is there any way to get torch.mode over multidimensional tensor
is there any way torch.mode can be applied over multiple dimensions
for example
import numpy as np
import torch
x = np.random.randint(10, size=(3, 5))
y = torch.tensor(x)

lets say y has
[[6 3 7 3 0]
 [2 5 7 9 7]
 [6 1 4 6 3]]

torch.mode should return a size 3 tensor [3,7,6]
without using a loop

Use the dimension attribute in torch to select which dimension should be reduced using mode operator.
torch.mode(y, dim = 1)[0]

Will give you the desired answer.
