code: def get_layer(l_name, library=torch.nn):
      """Return layer object handler from library e.g. from torch.nn
  
      E.g. if l_name=="elu", returns torch.nn.ELU.
  
      Args:
          l_name (string): Case insensitive name for layer in library (e.g. .'elu').
          library (module): Name of library/module where to search for object handler
          with l_name e.g. "torch.nn".
  
      Returns:
          layer_handler (object): handler for the requested layer e.g. (torch.nn.ELU)
  
      """
  
      all_torch_layers = [x for x in dir(torch.nn)]
      match = [
          x for x in all_torch_layers if l_name.lower() == x.lower()
      ]
      if len(match) == 0:
          close_matches = difflib.get_close_matches(
              l_name, [x.lower() for x in all_torch_layers]
          )
          raise NotImplementedError(
              "Layer with name {} not found in {}.\n Closest matches: {}".format(
                  l_name, str(library), close_matches
              )
          )
      elif len(match) > 1:
          close_matches = difflib.get_close_matches(
              l_name, [x.lower() for x in all_torch_layers]
          )
          raise NotImplementedError(
              "Multiple matchs for layer with name {} not found in {}.\n "
              "All matches: {}".format(
                  l_name, str(library), close_matches
              )
          )
      else:
          # valid
          layer_handler = getattr(library, match[0])
          return layer_handler
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_layer(l_name, library) and returns: layer_handler