code: def __init__(self):
      super().__init__()
      self.linear_1 = torch.nn.Linear(5, 10)
      self.linear_3 = torch.nn.Linear(10, 5)
      self.scalar = torch.nn.Parameter(torch.rand(()))
  
imports: from typing import Dict, Optional
  import os
  import tempfile
  import tarfile
  import pytest
  import torch
  from allennlp.nn import InitializerApplicator, Initializer
  from allennlp.nn.initializers import PretrainedModelInitializer
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.params import Params
label_desc: Use image node_id 1 to create a new _Net2 object from inherited base classes: torch.nn with example: obj = _Net2()