code: def get_config(self):
      return Data2VecAudioConfig(
          hidden_size=self.hidden_size,
          feat_extract_dropout=self.feat_extract_dropout,
          feat_extract_activation=self.feat_extract_activation,
          conv_dim=self.conv_dim,
          conv_stride=self.conv_stride,
          conv_kernel=self.conv_kernel,
          conv_bias=self.conv_bias,
          mask_time_prob=self.mask_time_prob,
          mask_time_length=self.mask_time_length,
          num_conv_pos_embeddings=self.num_conv_pos_embeddings,
          num_conv_pos_embedding_groups=self.num_conv_pos_embedding_groups,
          num_hidden_layers=self.num_hidden_layers,
          num_attention_heads=self.num_attention_heads,
          hidden_dropout_prob=self.hidden_dropout_prob,
          intermediate_size=self.intermediate_size,
          layer_norm_eps=self.layer_norm_eps,
          hidden_act=self.hidden_act,
          initializer_range=self.initializer_range,
          vocab_size=self.vocab_size,
          num_adapter_layers=self.num_adapter_layers,
          adapter_stride=self.adapter_stride,
          tdnn_dim=self.tdnn_dim,
          tdnn_kernel=self.tdnn_kernel,
          tdnn_dilation=self.tdnn_dilation,
          xvector_output_dim=self.xvector_output_dim,
      )
  
imports: import math
  import unittest
  import numpy
  from datasets import load_dataset
  from tests.test_modeling_common import floats_tensor, ids_tensor, random_attention_mask
  from transformers import Data2VecAudioConfig, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_soundfile, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init
label_desc: Use image node_id 3 for calling the Data2VecAudioModelTester obj's underlying member method code with example usage: obj.get_config() and returns: Data2VecAudioConfig