code: def test_model_as_decoder_with_default_input_mask(self):
      # This regression test was failing with PyTorch < 1.3
      (
          config,
          input_ids,
          token_type_ids,
          input_mask,
          sequence_labels,
          token_labels,
          choice_labels,
          encoder_hidden_states,
          encoder_attention_mask,
      ) = self.model_tester.prepare_config_and_inputs_for_decoder()
  
      input_mask = None
  
      self.model_tester.create_and_check_model_as_decoder(
          config,
          input_ids,
          token_type_ids,
          input_mask,
          sequence_labels,
          token_labels,
          choice_labels,
          encoder_hidden_states,
          encoder_attention_mask,
      )
  
imports: import unittest
  from transformers import MegaConfig, is_torch_available
  from transformers.testing_utils import TestCasePlus, require_torch, require_torch_fp16, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 5 for calling the MegaModelTest obj's underlying member method code with example usage: obj.test_model_as_decoder_with_default_input_mask() without return types