code: def get_trainer(model_type, model_name):
      r"""Automatically select trainer class based on model type and model name
  
      Args:
          model_type (ModelType): model type
          model_name (str): model name
  
      Returns:
          Trainer: trainer class
      """
      try:
          return getattr(
              importlib.import_module("recbole.trainer"),
              model_name + "Trainer",
          )
      except AttributeError:
          if model_type == ModelType.KNOWLEDGE:
              return getattr(
                  importlib.import_module("recbole.trainer"),
                  "KGTrainer",
              )
          elif model_type == ModelType.TRADITIONAL:
              return getattr(
                  importlib.import_module("recbole.trainer"),
                  "TraditionalTrainer",
              )
          else:
              return getattr(
                  importlib.import_module("recbole.trainer"), "Trainer"
              )
  
imports: import datetime
  import importlib
  import os
  import random
  import pandas
  import numpy
  import torch
  import torch.nn
  from torch.utils.tensorboard import SummaryWriter
  from texttable import Texttable
  from recbole.utils.enum_type import ModelType
label_desc: Use image node_id 4 for calling a global function with example usage: get_trainer(model_type, model_name) and returns: getattr, getattr, getattr, getattr