For PyTorch v1.0 and possibly above:
>>> import torch
>>> var = torch.tensor([[1,0], [0,1]])
# Using .size function, returns a torch.Size object.
>>> var.size()
torch.Size([2, 2])
>>> type(var.size())
<class 'torch.Size'>
# Similarly, using .shape
>>> var.shape
torch.Size([2, 2])
>>> type(var.shape)
<class 'torch.Size'>
You can cast any torch.Size object to a native Python list:
>>> list(var.size())
[2, 2]
>>> type(list(var.size()))
<class 'list'>
In PyTorch v0.3 and 0.4:
Simply list(var.size()), e.g.:
>>> import torch
>>> from torch.autograd import Variable
>>> from torch import IntTensor
>>> var = Variable(IntTensor([[1,0],[0,1]]))
>>> var
Variable containing:
1 0
0 1
[torch.IntTensor of size 2x2]
>>> var.size()
torch.Size([2, 2])
>>> list(var.size())
[2, 2]