code: def test_forward_signature(self):
      (
          config,
          _,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
      model = FastSpeech2ConformerModel(config)
      signature = inspect.signature(model.forward)
      # signature.parameters is an OrderedDict => so arg_names order is deterministic
      arg_names = [*signature.parameters.keys()]
  
      expected_arg_names = [
          "input_ids",
          "attention_mask",
          "spectrogram_labels",
          "duration_labels",
          "pitch_labels",
          "energy_labels",
          "speaker_ids",
          "lang_ids",
          "speaker_embedding",
          "return_dict",
          "output_attentions",
          "output_hidden_states",
      ]
      self.assertListEqual(arg_names, expected_arg_names)
  
imports: import inspect
  import tempfile
  import unittest
  from transformers import FastSpeech2ConformerConfig, FastSpeech2ConformerHifiGanConfig, FastSpeech2ConformerTokenizer, FastSpeech2ConformerWithHifiGanConfig, is_torch_available
  from transformers.testing_utils import require_g2p_en, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_tensor
label_desc: Use image node_id 8 for calling the FastSpeech2ConformerModelTest obj's underlying member method code with example usage: obj.test_forward_signature() without return types