Returns a new tensor which reference the same Storage than the given tensor. The size, stride, and storage offset are the same than the given tensor.

The new Tensor is now going to "view" the same storage than the given tensor. As the result, any modification in the elements of the Tensor will have a impact on the elements of the given tensor, and vice-versa. No memory copy! 

> x = torch.Tensor(2,5):fill(3.14)
> print(x)

 3.1400  3.1400  3.1400  3.1400  3.1400
 3.1400  3.1400  3.1400  3.1400  3.1400
[torch.Tensor of dimension 2x5]

> y = torch.Tensor(x)
> print(y)

 3.1400  3.1400  3.1400  3.1400  3.1400
 3.1400  3.1400  3.1400  3.1400  3.1400
[torch.Tensor of dimension 2x5]

> y:zero()
> print(x) -- elements of x are the same than y!

0 0 0 0 0
0 0 0 0 0
[torch.Tensor of dimension 2x5]