code: def __init__(self, input_size, output_size):
      super(Model, self).__init__()
      self.fc = nn.Linear(input_size, output_size)
  
imports: import argparse
  import functools
  import random
  import unittest
  from multiprocessing import Manager
  import torch
  import torch.nn
  from omegaconf import OmegaConf
  from fairseq import optim
  from fairseq.distributed import utils
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: nn with example: obj = Model(input_size, output_size)