code: def get_multiple_2d_rotated_targets():
      image_1, shape = get_2d_images(test_case_2d_target)
      image_2 = image_1[::-1, ::-1]
      image_3 = image_1[::-1,]
      image_4 = image_1[
          :,
          ::-1,
      ]
      return np.stack([image_1, image_2, image_3, image_4]), [4] + list(
          shape
      )
  
imports: from __future__ import absolute_import, print_function, division
  import base64
  import numpy
  import tensorflow
  from niftynet.layer.grid_warper import AffineGridWarperLayer
  from niftynet.layer.resampler import ResamplerLayer
  from tests.niftynet_testcase import NiftyNetTestCase
label_desc: Use image node_id 3 for calling a global function with example usage: get_multiple_2d_rotated_targets() and returns: np,  unknown