Sorry for the typo, but apparently autocorrect “corrected” permute to permit. 
Could you .permute the dimensions, since view will not yield the desired results:
x = torch.arange(2*3*4).view(2, 3, 4)
y = x.view(2, 4, 3)
z = x.permute(0, 2, 1)

print(x)
> tensor([[[ 0,  1,  2,  3],
         [ 4,  5,  6,  7],
         [ 8,  9, 10, 11]],

        [[12, 13, 14, 15],
         [16, 17, 18, 19],
         [20, 21, 22, 23]]])
print(y)
> tensor([[[ 0,  1,  2],
         [ 3,  4,  5],
         [ 6,  7,  8],
         [ 9, 10, 11]],

        [[12, 13, 14],
         [15, 16, 17],
         [18, 19, 20],
         [21, 22, 23]]])
print(z)
> tensor([[[ 0,  4,  8],
         [ 1,  5,  9],
         [ 2,  6, 10],
         [ 3,  7, 11]],

        [[12, 16, 20],
         [13, 17, 21],
         [14, 18, 22],
         [15, 19, 23]]])