code: def test_decoder_model_past_with_large_inputs(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs()
      config.decoder_sparse_step = 0
      self.model_tester.create_and_check_decoder_model_past_large_inputs(
          config, inputs_dict
      )
  
imports: import copy
  import tempfile
  import unittest
  from transformers import NllbMoeConfig, is_torch_available, set_seed
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 5 for calling the NllbMoeModelTest obj's underlying member method code with example usage: obj.test_decoder_model_past_with_large_inputs() without return types