code: def test_many_elements_quantile(self):  # pytorch#64947
      for p in TEST_NDARRAYS:
          for elements in (1000, 17_000_000):
              for t in [*TEST_NDARRAYS, list]:
                  x = p(np.random.randn(elements))
                  q = percentile(x, t([10, 50]))
                  if isinstance(x, torch.Tensor):
                      self.assertIsInstance(q, torch.Tensor)
                  assert_allclose(q.shape, [2], type_test=False)
  
file_path: MONAI/tests/test_utils_pytorch_numpy_unification.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.transforms.utils_pytorch_numpy_unification import mode, percentile
  from monai.utils import set_determinism
  from tests.utils import TEST_NDARRAYS, assert_allclose, skip_if_quick
label_desc: Use image node_id 3 for calling the TestPytorchNumpyUnification obj's underlying member method code with example usage: obj.test_many_elements_quantile() without return types