code: def create_and_check_causal_lm_model_past(
      self,
      config,
      input_ids,
      token_type_ids,
      input_mask,
      sequence_labels,
      token_labels,
      choice_labels,
  ):
      config.is_decoder = True
  
      model = TFRemBertForCausalLM(config=config)
  
      # first forward pass
      outputs = model(input_ids, use_cache=True)
      outputs_use_cache_conf = model(input_ids)
      outputs_no_past = model(input_ids, use_cache=False)
  
      self.parent.assertTrue(
          len(outputs) == len(outputs_use_cache_conf)
      )
      self.parent.assertTrue(len(outputs) == len(outputs_no_past) + 1)
  
      past_key_values = outputs.past_key_values
  
      # create hypothetical next token and extent to next_input_ids
      next_tokens = ids_tensor((self.batch_size, 1), config.vocab_size)
  
      # append to next input_ids and attn_mask
      next_input_ids = tf.concat([input_ids, next_tokens], axis=-1)
  
      output_from_no_past = model(
          next_input_ids, output_hidden_states=True
      ).hidden_states[0]
      output_from_past = model(
          next_tokens,
          past_key_values=past_key_values,
          output_hidden_states=True,
      ).hidden_states[0]
  
      # select random slice
      random_slice_idx = int(
          ids_tensor((1,), output_from_past.shape[-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: from __future__ import annotations
  import unittest
  from transformers import RemBertConfig, is_tf_available
  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
label_desc: Use image node_id 9 for calling the TFRemBertModelTester obj's underlying member method code with example usage: obj.create_and_check_causal_lm_model_past(config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels) without return types