docstr: Test the base model of the causal LM model
  
  is_deocder=True, no cross_attention, no encoder outputs
docstr_tok: ["Test","the","base","model","of","the","causal","LM","model","is_deocder=True",",","no","cross_attention",",","no","encoder","outputs"]
code: def test_causal_lm_base_model(self):
      """Test the base model of the causal LM model
  
      is_deocder=True, no cross_attention, no encoder outputs
      """
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_causal_lm_base_model(
          *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 5 for calling the TFBertModelTest obj's underlying member method code with example usage: obj.test_causal_lm_base_model() without return types