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.forward)
          # signature.parameters is an OrderedDict => so arg_names order is deterministic
          arg_names = [*signature.parameters.keys()]
  
          if model.config.is_encoder_decoder:
              expected_arg_names = ["pixel_values", "pixel_mask"]
              expected_arg_names.extend(
                  ["head_mask", "decoder_head_mask", "encoder_outputs"]
                  if "head_mask" and "decoder_head_mask" in arg_names
                  else []
              )
              self.assertListEqual(
                  arg_names[: len(expected_arg_names)],
                  expected_arg_names,
              )
          else:
              expected_arg_names = ["pixel_values", "pixel_mask"]
              self.assertListEqual(arg_names[:1], expected_arg_names)
  
imports: import inspect
  import math
  import unittest
  from huggingface_hub import hf_hub_download
  from transformers import TableTransformerConfig, is_timm_available, is_vision_available
  from transformers.testing_utils import require_timm, require_vision, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor
label_desc: Use image node_id 13 for calling the TableTransformerModelTest obj's underlying member method code with example usage: obj.test_forward_signature() without return types