code: def create_and_check_gpt2_model_past(
      self,
      config,
      input_ids,
      input_mask,
      head_mask,
      token_type_ids,
      *args,
  ):
      model = TFGPT2Model(config=config)
  
      # first forward pass
      outputs = model(
          input_ids, token_type_ids=token_type_ids, use_cache=True
      )
      outputs_use_cache_conf = model(
          input_ids, token_type_ids=token_type_ids
      )
      outputs_no_past = model(
          input_ids, token_type_ids=token_type_ids, use_cache=False
      )
  
      self.parent.assertTrue(
          len(outputs) == len(outputs_use_cache_conf)
      )
      self.parent.assertTrue(len(outputs) == len(outputs_no_past) + 1)
  
      output, past = outputs.to_tuple()
  
      # create hypothetical next token and extent to next_input_ids
      next_tokens = ids_tensor((self.batch_size, 1), config.vocab_size)
      next_token_types = ids_tensor(
          [self.batch_size, 1], self.type_vocab_size
      )
  
      # append to next input_ids and token_type_ids
      next_input_ids = tf.concat([input_ids, next_tokens], axis=-1)
      next_token_type_ids = tf.concat(
          [token_type_ids, next_token_types], axis=-1
      )
  
      output_from_no_past = model(
          next_input_ids, token_type_ids=next_token_type_ids
      )["last_hidden_state"]
      output_from_past = model(
          next_tokens, token_type_ids=next_token_types, past=past
      )["last_hidden_state"]
  
      # select random slice
      random_slice_idx = int(
          ids_tensor((1,), shape_list(output_from_past)[-1])
      )
      output_from_no_past_slice = output_from_no_past[
          :, -1, random_slice_idx
      ]
      output_from_past_slice = output_from_past[:, 0, random_slice_idx]
  
      # test that outputs are equal for slice
      tf.debugging.assert_near(
          output_from_past_slice, output_from_no_past_slice, rtol=1e-6
      )
  
imports: import unittest
  from transformers import GPT2Config, is_tf_available
  from transformers.testing_utils import require_tf, require_tf2onnx, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 5 for calling the TFGPT2ModelTester obj's underlying member method code with example usage: obj.create_and_check_gpt2_model_past(config, input_ids, input_mask, head_mask, token_type_ids) without return types