code: def test_all_presets(self):
      for model_name, image_size, expected_out_dims in [
          ("vit_b_32", 32, 768),
          ("vit_b_16", 64, 768),
          ("vit_l_32", 32, 1024),
          ("vit_l_16", 32, 1024),
          ("vit_h_14", 14, 1280),
      ]:
          # testing the forward pass is slow so we skip it
          self._test_model(
              {"name": model_name, "image_size": image_size},
              image_size,
              expected_out_dims,
              test_forward_pass=False,
          )
  
file_path: ClassyVision/test/models_vision_transformer_test.py
imports: import copy
  import unittest
  import torch
  from classy_vision.models import build_model
  from test.generic.utils import compare_model_state
label_desc: Use image node_id 8 for calling the TestVisionTransformer obj's underlying member method code with example usage: obj.test_all_presets() without return types