code: def sgd_optimizer(c: Configs):
      return optim.SGD(
          c.model.parameters(), lr=c.learning_rate, momentum=c.momentum
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torch.utils.data
  from torchvision import datasets, transforms
  from labml import experiment, lab, tracker, logger
  from labml.configs import BaseConfigs, option
label_desc: Use image node_id 5 for calling a global function with example usage: sgd_optimizer(c) and returns: optim