I would like to get info about a tensor just like I can do that for np array.
import numpy as np
n = np.array([[1, 2, 3], [4, 5, 6]])
np.info(n)

Is this possible?
Also can you comment why there is difference in stride:
t = torch.tensor(np.array([[1, 2, 3], [4, 5, 6]]))
print(t.stride())
np.info(t.data.numpy())
###
(3, 1)
class:  ndarray
shape:  (2, 3)
strides:  (12, 4)
itemsize:  4
aligned:  True
contiguous:  True
fortran:  False
data pointer: 0x20ad4068950
byteorder:  little
byteswap:  False
type: int32


Is it because PyTorch tensors are packed differently.