code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          input_ids,
          attention_mask,
          qformer_input_ids,
          qformer_attention_mask,
          pixel_values,
      ) = config_and_inputs
      inputs_dict = {
          "pixel_values": pixel_values,
          "input_ids": input_ids,
          "attention_mask": attention_mask,
          "qformer_input_ids": qformer_input_ids,
          "qformer_attention_mask": qformer_attention_mask,
          "labels": input_ids,
      }
      return config, inputs_dict
  
imports: import inspect
  import tempfile
  import unittest
  import numpy
  import requests
  from transformers import CONFIG_MAPPING, InstructBlipConfig, InstructBlipProcessor, InstructBlipQFormerConfig, InstructBlipVisionConfig
  from transformers.testing_utils import require_accelerate, require_bitsandbytes, require_torch, require_vision, slow, torch_device
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 5 for calling the InstructBlipForConditionalGenerationDecoderOnlyModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict