code: def get_config(self):
      return MobileNetV1Config(
          num_channels=self.num_channels,
          image_size=self.image_size,
          depth_multiplier=self.depth_multiplier,
          min_depth=self.min_depth,
          tf_padding=self.tf_padding,
          hidden_act=self.hidden_act,
          classifier_dropout_prob=self.classifier_dropout_prob,
          initializer_range=self.initializer_range,
      )
  
imports: import unittest
  from transformers import MobileNetV1Config
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the MobileNetV1ModelTester obj's underlying member method code with example usage: obj.get_config() and returns: MobileNetV1Config