code: def test_ragged_inputs_with_multiple_ragged_dimensions_and_multiple_ngrams(
      self,
  ):
      data = [[[[b"aa", b"bb", b"cc", b"dd"]], [[b"ee", b"ff"]]]]
      data_tensor = ragged_factory_ops.constant(data)
      ngram_op = ragged_string_ops.ngrams(
          data_tensor, ngram_width=(3, 4), separator=b"|"
      )
      result = self.evaluate(ngram_op)
      expected_ngrams = [
          [[[b"aa|bb|cc", b"bb|cc|dd", b"aa|bb|cc|dd"]], [[]]]
      ]
      self.assertAllEqual(expected_ngrams, result)
  
imports: from absl.testing import parameterized
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor
  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.platform import test
label_desc: Use image node_id 16 for calling the StringNgramsTest obj's underlying member method code with example usage: obj.test_ragged_inputs_with_multiple_ragged_dimensions_and_multiple_ngrams() without return types