PyTorch nn.Module Explained: Missing Parameters, state_dict, Buffers and Registration Bugs

Sat, 08 Aug 2026 13:09:00 +0100

PyTorch: Zero to Hero — Step 04

In the previous post we built a neural network using raw tensors and autograd.

Now we are going to add the abstraction PyTorch expects almost every real model to use:

class Model(torch.nn.Module):
    ...

But this is not going to be a tour of nn.Module methods.

The useful question for programmers is:

What exactly does nn.Module register, track, move, save and expose — and how do those mechanisms break?