code: def get_config(self):
      return CONFIG_MAPPING["opt"](
          vocab_size=self.vocab_size,
          hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          num_attention_heads=self.num_attention_heads,
          ffn_dim=self.intermediate_size,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          max_position_embeddings=self.max_position_embeddings,
          eos_token_id=self.eos_token_id,
          bos_token_id=self.bos_token_id,
          pad_token_id=self.pad_token_id,
          embed_dim=self.embed_dim,
          is_encoder_decoder=False,
          word_embed_proj_dim=self.word_embed_proj_dim,
      )
  
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 3 for calling the InstructBlipTextModelDecoderOnlyTester obj's underlying member method code with example usage: obj.get_config() and returns: CONFIG_MAPPING