code: def _get_sample_list(self):
      bs = 8
      num_feats = 70
  
      class MockObj:
          pass
  
      mock_input = MockObj()
      mock_vinvl_input_tensors(mock_input, bs=bs, num_feats=num_feats)
  
      input_mask = torch.ones_like(mock_input.input_ids)
      max_features = torch.ones((bs, num_feats)) * num_feats
      bbox = torch.randint(50, 200, (bs, num_feats, 4)).float()
      image_height = torch.randint(100, 300, (bs,))
      image_width = torch.randint(100, 300, (bs,))
      image_info = {
          "max_features": max_features,
          "bbox": bbox,
          "image_height": image_height,
          "image_width": image_width,
      }
  
      sample_list = SampleList()
      sample_list.add_field("input_ids", mock_input.input_ids)
      sample_list.add_field("input_ids_corrupt", mock_input.input_ids)
      sample_list.add_field("input_ids_masked", mock_input.input_ids)
      sample_list.add_field("image_feature_0", mock_input.img_feats)
      sample_list.add_field("image_info_0", image_info)
      sample_list.add_field("input_mask", input_mask)
      sample_list.add_field("input_mask_corrupt", input_mask)
      sample_list.add_field("segment_ids", mock_input.token_type_ids)
      sample_list.add_field(
          "segment_ids_corrupt", mock_input.token_type_ids
      )
      sample_list.add_field("labels", mock_input.labels)
      sample_list.add_field(
          "contrastive_labels", mock_input.contrastive_labels
      )
      sample_list.add_field("lm_label_ids", mock_input.lm_label_ids)
      sample_list = sample_list.to(get_current_device())
      sample_list.dataset_name = "test"
      sample_list.dataset_type = "test"
      return sample_list
  
imports: import unittest
  import tests.test_utils
  import torch
  from mmf.common.sample import SampleList
  from mmf.models.vinvl import VinVLBase, VinVLForClassification, VinVLForPretraining
  from mmf.utils.build import build_model
  from mmf.utils.configuration import Configuration
  from mmf.utils.env import setup_imports, teardown_imports
  from mmf.utils.general import get_current_device
  from omegaconf import OmegaConf
label_desc: Use image node_id 3 for calling the TestVinVLModel obj's underlying member method code with example usage: obj._get_sample_list() and returns: sample_list