code: def test_tensor_input(self):
      test_data = torch.tensor([[1, 2], [3, 4]])
      test_data = test_data.rot90()
      self.assertFalse(test_data.is_contiguous())
      result = ToNumpyd(keys="img")({"img": test_data})["img"]
      self.assertTrue(isinstance(result, np.ndarray))
      self.assertTrue(result.flags["C_CONTIGUOUS"])
      assert_allclose(result, test_data, type_test=False)
  
file_path: MONAI/tests/test_to_numpyd.py
imports: from __future__ import annotations
  import unittest
  from unittest import skipUnless
  import numpy
  import torch
  from monai.transforms import ToNumpyd
  from monai.utils import optional_import
  from tests.utils import HAS_CUPY, assert_allclose, skip_if_no_cuda
label_desc: Use image node_id 3 for calling the TestToNumpyd obj's underlying member method code with example usage: obj.test_tensor_input() without return types