code: def testNoOp(self):
      # No random cropping is performed since the size is value.shape.
      for shape in (2, 1, 1), (2, 1, 3), (4, 5, 3):
          value = np.arange(0, np.prod(shape), dtype=np.int32).reshape(
              shape
          )
          with self.cached_session():
              crop = random_crop_ops.random_crop(value, shape).eval()
              self.assertAllEqual(crop, value)
  
file_path: tensorflow/tensorflow/python/kernel_tests/random/random_crop_test.py
imports: import numpy
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import random_crop_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the RandomCropTest obj's underlying member method code with example usage: obj.testNoOp() without return types