code: def test3DimMatrixWithRagged2ndDim(self, encoding):
      test_value = ragged_factory_ops.constant(
          [
              [[72, 101, 108, 108, 111], [87, 111, 114, 108, 100]],
              [[102, 105, 120, 101, 100]],
              [
                  [72, 121, 112, 101, 114],
                  [119, 111, 114, 100, 115],
                  [99, 117, 98, 101, 46],
              ],
          ],
          np.int32,
      )
      expected_value = [
          ["Hello".encode(encoding), "World".encode(encoding)],
          ["fixed".encode(encoding)],
          [
              "Hyper".encode(encoding),
              "words".encode(encoding),
              "cube.".encode(encoding),
          ],
      ]
      unicode_encode_op = ragged_string_ops.unicode_encode(
          test_value, encoding
      )
      self.assertAllEqual(unicode_encode_op, expected_value)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_string_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.platform import test
label_desc: Use image node_id 12 for calling the UnicodeEncodeOpTest obj's underlying member method code with example usage: obj.test3DimMatrixWithRagged2ndDim(encoding) without return types