code: def create_and_check_model(self, config, input_ids, input_mask):
      model = GPTNeoXModel(config=config)
      model.to(torch_device)
      model.eval()
      _ = model(input_ids, attention_mask=input_mask)
      result = model(input_ids)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.seq_length, self.hidden_size),
      )
  
imports: import unittest
  from transformers import GPTNeoXConfig, is_torch_available
  from transformers.testing_utils import require_torch, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 5 for calling the GPTNeoXModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, input_ids, input_mask) without return types