code: def create_and_check_model_forward(self, config, inputs_dict):
      model = TFWhisperModel(config=config)
  
      input_features = inputs_dict["input_features"]
      decoder_input_ids = inputs_dict["decoder_input_ids"]
  
      # first forward pass
      last_hidden_state = model(
          input_features, decoder_input_ids=decoder_input_ids
      ).last_hidden_state
  
      self.parent.assertTrue(last_hidden_state.shape, (13, 7, 16))
  
imports: import inspect
  import os
  import tempfile
  import traceback
  import unittest
  import numpy
  from transformers import WhisperConfig, WhisperFeatureExtractor, WhisperProcessor
  from transformers.testing_utils import is_tf_available, require_tf, require_tokenizers, run_test_in_subprocess, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 6 for calling the TFWhisperModelTester obj's underlying member method code with example usage: obj.create_and_check_model_forward(config, inputs_dict) without return types