Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

dummy_x = torch.tensor([0.3])
dummy_model.forward(dummy_x)
Output
tensor([-0.7514], grad_fn=<AddBackward0>)
It should add a new tuple to the dummy list, one containing a linear layer, an input
tensor (0.3), and an output tensor (-0.7514). By the way, your values are going to be
different than mine, since we didn’t bother to use a seed here.
dummy_list
Output
[]
"Empty?! So it is not working?"
GOTCHA! I deliberately used the model’s forward() method here to illustrate
something we’ve discussed much earlier, in Chapter 1:
You should NOT call the forward(x) method! You should call the
whole model instead, as in model(x), to perform a forward pass.
Otherwise, your hooks won’t work.
Let’s do it right this time:
dummy_model(dummy_x)
Output
tensor([-0.7514], grad_fn=<AddBackward0>)
396 | Chapter 5: Convolutions