code: def __init__(self, config={}):
      super().__init__(config)
      self.base = torch.nn.Sequential(
          torch.nn.Linear(5, 4), torch.nn.Tanh(), torch.nn.Linear(4, 5)
      )
  
      self.classifier = torch.nn.Sequential(
          torch.nn.Linear(5, 4), torch.nn.Tanh(), torch.nn.Linear(4, 5)
      )
  
      self.loss = torch.nn.CrossEntropyLoss()
  
imports: import argparse
  import os
  import unittest
  from copy import deepcopy
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.trainers.callbacks.lr_scheduler import LRSchedulerCallback
  from mmf.utils.configuration import load_yaml
  from omegaconf import OmegaConf
label_desc: Use image node_id 1 to create a new SimpleModule object from inherited base classes: BaseModel with example: obj = SimpleModule(config)