code: def test_forward(self, model, tokens, start_positions, end_positions):
      output = model(
          **tokens,
          start_positions=start_positions,
          end_positions=end_positions,
      ).start_logits
      print("forward:", output)
      print()
      assert isinstance(output, torch.Tensor)
  
file_path: parallelformers/tests/question_answering.py
imports: import os
  import unittest
  from argparse import ArgumentParser
  import torch
  from transformers import AutoModelForQuestionAnswering, AutoTokenizer
  from parallelformers import parallelize
label_desc: Use image node_id 1 for calling the TestForQuestionAnswering obj's underlying member method code with example usage: obj.test_forward(model, tokens, start_positions, end_positions) without return types