code: def get_config(self):
      return GPTNeoConfig(
          vocab_size=self.vocab_size,
          hidden_size=self.hidden_size,
          num_layers=self.num_hidden_layers,
          num_heads=self.num_attention_heads,
          max_position_embeddings=self.max_position_embeddings,
          use_cache=True,
          bos_token_id=self.bos_token_id,
          eos_token_id=self.eos_token_id,
          pad_token_id=self.pad_token_id,
          window_size=self.window_size,
          attention_types=self.attention_types,
      )
  
imports: import unittest
  from transformers import GPTNeoConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the GPTNeoModelTester obj's underlying member method code with example usage: obj.get_config() and returns: GPTNeoConfig