code: def to_wider_graph(graph):
      ''' wider graph
      '''
      weighted_layer_ids = graph.wide_layer_ids()
      weighted_layer_ids = list(
          filter(lambda x: graph.layer_list[x].output.shape[-1], weighted_layer_ids)
      )
      wider_layers = sample(weighted_layer_ids, 1)
  
      for layer_id in wider_layers:
          layer = graph.layer_list[layer_id]
          if is_layer(layer, "Conv"):
              n_add = layer.filters
          else:
              n_add = layer.units
  
          graph.to_wider_model(layer_id, n_add)
      return grapf to_wider_graph(graph):
      ''' wider graph
      '''
      weighted_layer_ids = graph.wide_layer_ids()
      weighted_layer_ids = list(
          filter(lambda x: graph.layer_list[x].output.shape[-1], weighted_layer_ids)
      )
      wider_layers = sample(weighted_layer_ids, 1)
  
      for layer_id in wider_layers:
          layer = graph.layer_list[layer_id]
          if is_layer(layer, "Conv"):
              n_add = layer.filters
          else:
              n_add = layer.units
  
          graph.to_wider_model(layer_id, n_add)
      return graph
docs: wider graph