code: def get_config(self):
      return RegNetConfig(
          num_channels=self.num_channels,
          embeddings_size=self.embeddings_size,
          hidden_sizes=self.hidden_sizes,
          depths=self.depths,
          hidden_act=self.hidden_act,
          num_labels=self.num_labels,
      )
  
imports: import inspect
  import unittest
  from transformers import RegNetConfig
  from transformers.file_utils import cached_property, is_torch_available, is_vision_available
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 3 for calling the RegNetModelTester obj's underlying member method code with example usage: obj.get_config() and returns: RegNetConfig