code: def _get_hidden_states(self):
      return torch.tensor(
          [
              [
                  [0.4983, -0.7584, -1.6944, 0.5440],
                  [2.6918, 0.4206, 0.4176, 0.2055],
                  [-0.0071, -0.0405, -1.4920, -0.3630],
                  [1.0492, 0.1599, -1.7648, 0.2419],
                  [-1.8348, 2.0514, -0.1946, 0.3203],
                  [0.7672, -1.1600, -1.7118, -0.9056],
                  [0.2986, 0.5372, 0.7729, -0.1927],
                  [0.0285, 0.2629, -1.1156, -1.1992],
              ]
          ],
          dtype=torch.float32,
          device=torch_device,
      )
  
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 13 for calling the GPTNeoModelTest obj's underlying member method code with example usage: obj._get_hidden_states() and returns: torch