code: def get_config(self):
      return DPTConfig(
          image_size=self.image_size,
          patch_size=self.patch_size,
          num_channels=self.num_channels,
          hidden_size=self.hidden_size,
          fusion_hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          backbone_out_indices=self.backbone_out_indices,
          num_attention_heads=self.num_attention_heads,
          intermediate_size=self.intermediate_size,
          hidden_act=self.hidden_act,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          is_decoder=False,
          initializer_range=self.initializer_range,
          is_hybrid=self.is_hybrid,
          neck_hidden_sizes=self.neck_hidden_sizes,
      )
  
imports: import unittest
  from transformers import DPTConfig
  from transformers.file_utils import is_torch_available, is_vision_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the DPTModelTester obj's underlying member method code with example usage: obj.get_config() and returns: DPTConfig