Hi all,

While using the `visualize`

tool of szagoruyko I have found that, for specific functions, there are more variables in the computation graph than those that I had defined. In particular, I’m referring to these two examples:

```
a = Variable(torch.rand(3))
b = nn.Parameter(torch.rand(2, 3))
y = b.mv(a)
make_dot(y)
```

This one gives me this graph

Blue rectangles represent parameters, orange ones represent variables, and grey ones are operations. Another simple example is the following:

```
c = nn.Parameter(torch.rand(2))
z = F.linear(a, b, c)
make_dot(z)
```

Which gives me the following graph

As you might see, there are two variables, of sizes (2, 3) in the first example and (3, 2) in the second one, that I did not define but are nonetheless being used to perform the computations.

Does any one know what are these tensors? Can they alter the gradients that I compute in a backward pass?

Thanks in advance