docstr: Test the base model as a decoder (of an encoder-decoder architecture)
  
  is_deocder=True + cross_attention + pass encoder outputs
docstr_tok: ["Test","the","base","model","as","a","decoder","(","of","an","encoder-decoder","architecture",")","is_deocder=True","+","cross_attention","+","pass","encoder","outputs"]
code: def test_model_as_decoder(self):
      """Test the base model as a decoder (of an encoder-decoder architecture)
  
      is_deocder=True + cross_attention + pass encoder outputs
      """
      config_and_inputs = (
          self.model_tester.prepare_config_and_inputs_for_decoder()
      )
      self.model_tester.create_and_check_model_as_decoder(
          *config_and_inputs
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import BertConfig, is_tf_available
  from transformers.models.auto import get_values
  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, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 6 for calling the TFBertModelTest obj's underlying member method code with example usage: obj.test_model_as_decoder() without return types