docstr: Test the causal LM model
docstr_tok: ["Test","the","causal","LM","model"]
code: def test_for_causal_lm(self):
      """Test the causal LM model"""
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_causal_lm_model(
          *config_and_inputs
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import RobertaPreLayerNormConfig, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, 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
label_desc: Use image node_id 7 for calling the TFRobertaPreLayerNormModelTest obj's underlying member method code with example usage: obj.test_for_causal_lm() without return types