docstr: Similar to `test_causal_lm_base_model_past_with_large_inputs` but with cross-attention
docstr_tok: ["Similar","to","`","test_causal_lm_base_model_past_with_large_inputs","`","but","with","cross-attention"]
code: def test_decoder_model_past_with_large_inputs(self):
      """Similar to `test_causal_lm_base_model_past_with_large_inputs` but with cross-attention"""
      config_and_inputs = (
          self.model_tester.prepare_config_and_inputs_for_decoder()
      )
      self.model_tester.create_and_check_decoder_model_past_large_inputs(
          *config_and_inputs
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import ElectraConfig, 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 TFElectraModelTest obj's underlying member method code with example usage: obj.test_decoder_model_past_with_large_inputs() without return types