code: def test_mean_float16(self):
      # This fail if the sum inside mean is done in float16 instead
      # of float32.
      assert np.mean(np.ones(100000, dtype="float16")) == 1
  
imports: from unittest import skipIf, SkipTest
  import numpy
  import pytest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 3 for calling the TestMean obj's underlying member method code with example usage: obj.test_mean_float16() without return types