Could someone kindly explain the logic behind the tensor reshape below? According to what kind of rule is the b.view(3*2, 2)
tensor being re-organized?
import torch¬
a = torch.eye(2)¬
b = a.repeat(1, 3)¬
tensor([[1., 0., 1., 0., 1., 0.],¬
[0., 1., 0., 1., 0., 1.]])¬
b.view(3*2, 2)¬
tensor([[1., 0.],¬
[1., 0.],¬
[1., 0.],¬
[0., 1.],¬
[0., 1.],¬
[0., 1.]])¬