code: def __init__(self, use_bias=True):
      super().__init__(vocab=Vocabulary())
      self.conv = torch.nn.Conv2d(3, 5, kernel_size=1, bias=use_bias)
      self.bn = torch.nn.BatchNorm2d(5)
  
imports: import torch
  from allennlp.data.vocabulary import Vocabulary
  from allennlp.models.model import Model
label_desc: Use image node_id 1 to create a new FakeModelForTestingNormalizationBiasVerification object from inherited base classes: Model with example: obj = FakeModelForTestingNormalizationBiasVerification(use_bias)