code: def test_get_model_dummy_input(self):
      for config in get_test_model_configs():
          model = build_model(
              config
          )  # pass in a dummy model for the cuda check
          batchsize = 8
          # input_key is list
          input_key = ["audio", "video"]
          input_shape = [
              [3, 40, 100],
              [4, 16, 223, 223],
          ]  # dummy input shapes
          result = util.get_model_dummy_input(
              model, input_shape, input_key, batchsize
          )
          self.assertEqual(result.keys(), {"audio", "video"})
          for i in range(len(input_key)):
              self.assertEqual(
                  result[input_key[i]].size(),
                  tuple([batchsize] + input_shape[i]),
              )
          # input_key is string
          input_key = "video"
          input_shape = [4, 16, 223, 223]
          result = util.get_model_dummy_input(
              model, input_shape, input_key, batchsize
          )
          self.assertEqual(result.keys(), {"video"})
          self.assertEqual(
              result[input_key].size(), tuple([batchsize] + input_shape)
          )
          # input_key is None
          input_key = None
          input_shape = [4, 16, 223, 223]
          result = util.get_model_dummy_input(
              model, input_shape, input_key, batchsize
          )
          self.assertEqual(
              result.size(), tuple([batchsize] + input_shape)
          )
  
imports: import copy
  import shutil
  import tempfile
  import unittest
  import unittest.mock
  from pathlib import Path
  import classy_vision.generic.util
  import torch
  import torch.nn
  from classy_vision.generic.util import CHECKPOINT_FILE, get_torch_version, load_checkpoint, save_checkpoint, split_batchnorm_params, Timer, update_classy_model, update_classy_state
  from classy_vision.models import build_model
  from classy_vision.tasks import build_task
  from classy_vision.trainer import LocalTrainer
  from test.generic.config_utils import get_fast_test_task_config, get_test_model_configs
  from test.generic.utils import compare_model_state, compare_states
label_desc: Use image node_id 5 for calling the TestUtilMethods obj's underlying member method code with example usage: obj.test_get_model_dummy_input() without return types