code: def prepare_config_and_inputs(self):
      config = self.get_config()
  
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      ).clamp(3)
      input_ids[:, -1] = self.eos_token_id  # Eos Token
  
      attention_mask = input_ids.ne(self.pad_token_id)
  
      return config, input_ids, attention_mask
  
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 InstructBlipTextModelDecoderOnlyTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids,  attention_mask