code: def Test():
      data = tf.constant([1, 2, 3, 4, 5, 6])
      # Create placeholders to prevent constant folding.
      x_op = tf.placeholder(dtype=tf.int32)
      y_op = tf.placeholder(dtype=tf.int32)
      less_op = tf.less(x_op, y_op)
      switch_op = control_flow_ops.switch(data, less_op)
      merge_op = control_flow_ops.merge(switch_op)[0]
      result = tf.transpose(merge_op)
  
      tensor_info_result = (
          tf.compat.v1.saved_model.utils.build_tensor_info(result)
      )
  
      signature_def = (
          tf.saved_model.signature_def_utils.build_signature_def(
              inputs=None,
              outputs={"result": tensor_info_result},
              method_name="some_function",
          )
      )
  
      return {"key": signature_def}, None, None
  
imports: import tensorflow.compat.v1
  from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common_v1
  from tensorflow.python.ops import control_flow_ops
label_desc: Use image node_id 1 for calling a global function with example usage: Test() and returns: dict,  None,  None