code: def get_config(self):
      return UnivNetConfig(
          model_in_channels=self.in_channels,
          model_hidden_channels=self.hidden_channels,
          num_mel_bins=self.num_mel_bins,
          kernel_predictor_hidden_channels=self.kernel_predictor_hidden_channels,
      )
  
imports: import gc
  import inspect
  import random
  import unittest
  from datasets import Audio, load_dataset
  from transformers import UnivNetConfig, UnivNetFeatureExtractor
  from transformers.testing_utils import is_torch_available, require_torch, require_torch_gpu, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor
label_desc: Use image node_id 4 for calling the UnivNetModelTester obj's underlying member method code with example usage: obj.get_config() and returns: UnivNetConfig