Leaf variable was used in an inplace operation

[pinocchio (Rene Sandoval)]

@Yoni_Keren

Hi,

Trying to read the code for optim (I want to implement something a bit differently) and your previous example/explanation of what is a leaf Variable doesn’t seem to be valid anymore.

In particular,
you wrote

y = x + 1  # not a leaf variable

Well, here’s output from my termial for the code which you have mentioned:

>>> x = torch.autograd.Variable(torch.Tensor([1, 2, 3, 4]))
>>> x.is_leaf
True
>>> y = x + 1
>>> y.is_leaf
True
>>> y
Variable containing:
 2
 3
 4
 5
[torch.FloatTensor of size (4,)]

So, can someone please explain what is a leaf Variable, and what is not a leaf variable? Clearly a non-leaf-variable cannot be optimized, but what is it?

@colesbury can you address this question please?

Why is y a leaf when you claim it should not?

I also agree it shouldn’t be a leaf but Pytorch disagrees with us…why?