code: def test_forward_signature(self):
      (
          config,
          _,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      for model_class in self.all_model_classes:
          model = model_class(config)
          signature = inspect.signature(model.call)
          # signature.parameters is an OrderedDict => so arg_names order is deterministic
          arg_names = [*signature.parameters.keys()]
  
          expected_arg_names = [
              "input_features",
              "decoder_input_ids",
              "decoder_attention_mask",
          ]
          expected_arg_names.extend(
              [
                  "decoder_position_ids",
                  "head_mask",
                  "decoder_head_mask",
                  "cross_attn_head_mask",
                  "encoder_outputs",
              ]
              if "head_mask"
              and "decoder_head_mask"
              and "cross_attn_head_mask" in arg_names
              else ["encoder_outputs"]
          )
          self.assertListEqual(
              arg_names[: len(expected_arg_names)], expected_arg_names
          )
  
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 11 for calling the TFWhisperModelTest obj's underlying member method code with example usage: obj.test_forward_signature() without return types