In numpy, V.shape
gives a tuple of ints of dimensions of V.
In tensorflow V.get_shape().as_list()
gives a list of integers of the dimensions of
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())
# Similarly, using .shape
>>> var.shape
torch.Size([2, 2])
>>> type(var.shape)
You can cast any torch.Size object to a native Python list:
>>> list(var.size())
[2, 2]
>>> type(list(var.size()))
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]