docstr: Test the causal LM model with `past_key_values` and a longer decoder sequence length
docstr_tok: ["Test","the","causal","LM","model","with","`","past_key_values","`","and","a","longer","decoder","sequence","length"]
code: def test_causal_lm_model_past_with_large_inputs(self):
      """Test the causal LM model with `past_key_values` and a longer decoder sequence length"""
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_causal_lm_model_past_large_inputs(
          *config_and_inputs
      )
  
imports: import unittest
  from transformers import RobertaConfig, 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
label_desc: Use image node_id 11 for calling the TFRobertaModelTest obj's underlying member method code with example usage: obj.test_causal_lm_model_past_with_large_inputs() without return types