code: def prepare_config_and_inputs(self):
      (
          _,
          pixel_values,
      ) = self.vision_model_tester.prepare_config_and_inputs()
      (
          _,
          _,
          _,
          qformer_input_ids,
          qformer_attention_mask,
      ) = self.qformer_model_tester.prepare_config_and_inputs()
      (
          _,
          input_ids,
          attention_mask,
      ) = self.text_model_tester.prepare_config_and_inputs()
  
      config = self.get_config()
  
      return (
          config,
          input_ids,
          attention_mask,
          qformer_input_ids,
          qformer_attention_mask,
          pixel_values,
      )
  
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 2 for calling the InstructBlipForConditionalGenerationDecoderOnlyModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids,  attention_mask,  qformer_input_ids,  qformer_attention_mask,  pixel_values