code: def __init__(self, vocab, params):
      super().__init__(vocab)
      self.x = torch.nn.Parameter(params.float(), requires_grad=True)
  
file_path: allennlp/tests/interpret/simple_influence_test.py
imports: import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data.vocabulary import Vocabulary
  from allennlp.data.fields import TensorField
  from allennlp.data import Instance
  from allennlp.models.model import Model
  from allennlp.data.data_loaders import SimpleDataLoader
  from allennlp.interpret import InfluenceInterpreter
  from allennlp.interpret.influence_interpreters.simple_influence import _flatten_tensors, get_hvp, get_inverse_hvp_lissa
label_desc: Use image node_id 1 to create a new DummyBilinearModelForTestingIF object from inherited base classes: Model with example: obj = DummyBilinearModelForTestingIF(vocab, params)