code: def test_model_forward(self):
      embeddings = torch.rand(32, 197, 768)
      output = self.model(embeddings, output_hidden_states=True)
  
      self.assertTrue(hasattr(output, "last_hidden_state"))
      self.assertEqual(
          output["last_hidden_state"].shape, torch.Size([32, 197, 768])
      )
  
      self.assertTrue(hasattr(output, "hidden_states"))
      self.assertEqual(len(output["hidden_states"]), 3)
  
file_path: mmf/tests/modules/test_vit.py
imports: import unittest
  import torch
  from mmf.modules.vit import ViTModel
  from omegaconf import OmegaConf
  from tests.test_utils import setup_proxy, skip_if_old_transformers
  from torch import nn
label_desc: Use image node_id 4 for calling the TestViT obj's underlying member method code with example usage: obj.test_model_forward() without return types