code: def test_sum_initial(self):
      # Integer, single axis
      assert_equal(np.sum([3], initial=2), 5)
  
      # Floating point
      assert_almost_equal(np.sum([0.2], initial=0.1), 0.3)
  
      # Multiple non-adjacent axes
      assert_equal(
          np.sum(
              np.ones((2, 3, 5), dtype=np.int64), axis=(0, 2), initial=2
          ),
          [12, 12, 12],
      )
  
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 8 for calling the TestSum obj's underlying member method code with example usage: obj.test_sum_initial() without return types