code: def test_inference_head(self):
      model = M2M100ForConditionalGeneration.from_pretrained(
          "facebook/m2m100_418M"
      ).to(torch_device)
  
      # change to intended input
      input_ids = _long_tensor(
          [
              [
                  128028,
                  98,
                  12,
                  30527,
                  2732,
                  159,
                  7755,
                  61904,
                  39144,
                  38,
                  2,
              ]
          ]
      )
      decoder_input_ids = _long_tensor(
          [
              [
                  2,
                  128028,
                  98,
                  12,
                  30527,
                  2732,
                  159,
                  7755,
                  61904,
                  39144,
                  38,
              ]
          ]
      )
      inputs_dict = prepare_m2m_100_inputs_dict(
          model.config, input_ids, decoder_input_ids
      )
      with torch.no_grad():
          output = model(**inputs_dict)[0]
      expected_shape = torch.Size((1, 11, model.config.vocab_size))
      self.assertEqual(output.shape, expected_shape)
      # change to expected output here
      expected_slice = torch.tensor(
          [
              [-1.0448, -1.0411, 3.7992],
              [-3.2191, -3.2386, -1.3451],
              [-3.6210, -3.5993, 0.4925],
          ],
          device=torch_device,
      )
      self.assertTrue(
          torch.allclose(
              output[:, :3, :3], expected_slice, atol=TOLERANCE
          )
      )
  
imports: import copy
  import tempfile
  import unittest
  from transformers import M2M100Config, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, 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, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the M2M100ModelIntegrationTests obj's underlying member method code with example usage: obj.test_inference_head() without return types