code: def _create_graph_with_ragged_tensor():
      x1 = tf.compat.v1.placeholder(tf.int64, (1, 3, 3))
      x2 = tf.compat.v1.sparse.placeholder(tf.int64, (4, 3))
      y1 = tf.RaggedTensor.from_tensor(x1, ragged_rank=2)
      y2 = tf.RaggedTensor.from_sparse(x2) + 1
      return {"x1": x1, "x2": x2, "y1": y1, "y2": y2}
  
imports: import abc
  import os
  import tempfile
  import tensorflow
  from tensorflow_transform import graph_tools
  from tensorflow_transform import test_case
  from tfx_bsl.types import tfx_namedtuple
  from tensorflow.python.ops import control_flow_ops
label_desc: Use image node_id 11 for calling a global function with example usage: _create_graph_with_ragged_tensor() and returns: dict