code: def get_config(self):
      return BridgeTowerConfig.from_text_vision_configs(
          text_config=self.text_model_tester.get_config(),
          vision_config=self.vision_model_tester.get_config(),
          share_cross_modal_transformer_layers=self.share_cross_modal_transformer_layers,
          share_link_tower_layers=self.share_link_tower_layers,
          link_tower_type=self.link_tower_type,
          init_layernorm_from_vision_encoder=self.init_layernorm_from_vision_encoder,
          contrastive_hidden_size=self.contrastive_hidden_size,
          logit_scale_init_value=self.logit_scale_init_value,
          hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          num_attention_heads=self.num_attention_heads,
          intermediate_size=self.intermediate_size,
      )
  
imports: import tempfile
  import unittest
  import numpy
  from transformers import BridgeTowerConfig, BridgeTowerTextConfig, BridgeTowerVisionConfig, is_torch_available, is_vision_available
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the BridgeTowerModelTester obj's underlying member method code with example usage: obj.get_config() and returns: BridgeTowerConfig