code: def get_config(self):
      return MobileViTConfig(
          image_size=self.image_size,
          patch_size=self.patch_size,
          num_channels=self.num_channels,
          num_attention_heads=self.num_attention_heads,
          hidden_act=self.hidden_act,
          conv_kernel_size=self.conv_kernel_size,
          output_stride=self.output_stride,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          classifier_dropout_prob=self.classifier_dropout_prob,
          initializer_range=self.initializer_range,
          hidden_sizes=[12, 16, 20],
          neck_hidden_sizes=[8, 8, 16, 16, 32, 32, 32],
      )
  
imports: from __future__ import annotations
  import inspect
  import unittest
  from transformers import MobileViTConfig
  from transformers.file_utils import is_tf_available, is_vision_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the TFMobileViTModelTester obj's underlying member method code with example usage: obj.get_config() and returns: MobileViTConfig