code: def forward(self, tensors):
      A = tensors  # (batch_size, ..., ...)
      output_dict = {"loss": 1 / 2 * (A @ self.x @ self.x)}
      return output_dict
  
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 2 for calling the DummyBilinearModelForTestingIF obj's underlying member method code with example usage: obj.forward(tensors) and returns: output_dict