code: def get_config(self):
      return FastSpeech2ConformerConfig(
          hidden_size=self.hidden_size,
          encoder_layers=self.num_hidden_layers,
          decoder_layers=self.num_hidden_layers,
          encoder_linear_units=self.encoder_linear_units,
          decoder_linear_units=self.decoder_linear_units,
          speech_decoder_postnet_units=self.speech_decoder_postnet_units,
          speech_decoder_postnet_layers=self.speech_decoder_postnet_layers,
          num_mel_bins=self.num_mel_bins,
          pitch_predictor_layers=self.pitch_predictor_layers,
          energy_predictor_layers=self.energy_predictor_layers,
          duration_predictor_layers=self.duration_predictor_layers,
      )
  
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 3 for calling the FastSpeech2ConformerModelTester obj's underlying member method code with example usage: obj.get_config() and returns: FastSpeech2ConformerConfig