Assume I have a network created as follows: p = torch.nn.Sequential(torch.nn.Linear(self.inputSize, self.outputSize)) I know that I can print the network with: print(p) and get: Sequential( (0): Linear(in_features=22, out_features=3, bias=True) ) I want to pretty print the network thus, I can use for name, module in p.named_children(): print(f'{name:>10} {module}') to print each network layer's name. For the example network above I'd get: 0 Linear(in_features=22, out_features=3, bias=True) But how to I get the 'Sequential' part? It's the nn module container class so is the only method to do this to dissect the class name returned by type (<class 'torch.nn.modules.container.Sequential'>)? Continue reading...