code: def mnist_model(c: Configs):
      """
      ### Create model
      """
      return Model(c.dropout).to(c.device)
  
imports: from typing import Any
  import torch.nn
  import torch.utils.data
  from labml import tracker, experiment
  from labml.configs import option, calculate
  from labml_helpers.module import Module
  from labml_helpers.schedule import Schedule, RelativePiecewise
  from labml_helpers.train_valid import BatchIndex
  from labml_nn.experiments.mnist import MNISTConfigs
  from labml_nn.uncertainty.evidence import KLDivergenceLoss, TrackStatistics, MaximumLikelihoodLoss, CrossEntropyBayesRisk, SquaredErrorBayesRisk
label_desc: Use image node_id 1 for calling a global function with example usage: mnist_model(c) and returns: Model