code: def get_config(self):
      return GPTJConfig(
          vocab_size=self.vocab_size,
          n_embd=self.hidden_size,
          n_layer=self.num_hidden_layers,
          n_head=self.num_attention_heads,
          intermediate_size=self.intermediate_size,
          hidden_act=self.hidden_act,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          n_positions=self.max_position_embeddings,
          type_vocab_size=self.type_vocab_size,
          initializer_range=self.initializer_range,
          use_cache=True,
          bos_token_id=self.bos_token_id,
          eos_token_id=self.eos_token_id,
          pad_token_id=self.pad_token_id,
          rotary_dim=self.rotary_dim,
      )
  
imports: import datetime
  import unittest
  from transformers import GPTJConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, tooslow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  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 4 for calling the GPTJModelTester obj's underlying member method code with example usage: obj.get_config() and returns: GPTJConfig