code: def forward(self, *inputs) -> Dict[str, torch.Tensor]:
      return {"class": torch.tensor(98)}
  
file_path: allennlp/tests/training/no_op_trainer_test.py
imports: import os
  from typing import Dict
  import torch
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Vocabulary
  from allennlp.data.dataset_readers import SequenceTaggingDatasetReader
  from allennlp.models.model import Model
  from allennlp.training import NoOpTrainer
label_desc: Use image node_id 1 for calling the ConstantModel obj's underlying member method code with example usage: obj.forward() and returns: dict