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