code: def check_model_generate(
      self,
      config,
      input_ids,
      attention_mask,
      decoder_input_ids,
      decoder_attention_mask,
      **kwargs,
  ):
      self.assertIsNotNone(config.question_encoder)
      self.assertIsNotNone(config.generator)
  
      for model_class in self.all_model_classes[1:]:
          model = model_class(
              config, retriever=self.get_retriever(config)
          ).to(torch_device)
          model.eval()
  
          self.assertTrue(model.config.is_encoder_decoder)
  
          outputs = model.generate(
              input_ids=input_ids,
              num_beams=2,
              num_return_sequences=2,
              decoder_start_token_id=config.generator.eos_token_id,
          )
  
          self.assertIsNotNone(outputs)
  
imports: import gc
  import json
  import os
  import shutil
  import tempfile
  import unittest
  from unittest.mock import patch
  import numpy
  from transformers import BartTokenizer, T5Tokenizer
  from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
  from transformers.models.dpr.tokenization_dpr import DPRContextEncoderTokenizer, DPRQuestionEncoderTokenizer
  from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
  from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, require_torch_non_multi_gpu, slow, torch_device
  from transformers.utils import cached_property, is_datasets_available, is_faiss_available, is_torch_available
  from ..bart.test_modeling_bart import BartModelTester
  from ..dpr.test_modeling_dpr import DPRModelTester
  from ..t5.test_modeling_t5 import T5ModelTester
label_desc: Use image node_id 11 for calling the RagTestMixin obj's underlying member method code with example usage: obj.check_model_generate(config, input_ids, attention_mask, decoder_input_ids, decoder_attention_mask) without return types