code: def model(c: Configs):
      """
      ### Create model
      """
      return Model(c.groups).to(c.device)
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/normalization/group_norm/experiment.py
imports: import torch.nn
  from labml import experiment
  from labml.configs import option
  from labml_helpers.module import Module
  from labml_nn.experiments.cifar10 import CIFAR10Configs
  from labml_nn.normalization.group_norm import GroupNorm
label_desc: Use image node_id 1 for calling a global function with example usage: model(c) and returns: Model