code: def capsule_network_model(c: Configs):
      """Set the model"""
      return MNISTCapsuleNetworkModel().to(c.device)
  
imports: from typing import Any
  import torch.nn
  import torch.nn.functional
  import torch.utils.data
  from labml import experiment, tracker
  from labml.configs import option
  from labml_helpers.datasets.mnist import MNISTConfigs
  from labml_helpers.metrics.accuracy import AccuracyDirect
  from labml_helpers.module import Module
  from labml_helpers.train_valid import SimpleTrainValidConfigs, BatchIndex
  from labml_nn.capsule_networks import Squash, Router, MarginLoss
label_desc: Use image node_id 1 for calling a global function with example usage: capsule_network_model(c) and returns: MNISTCapsuleNetworkModel