code: def tfcond(_):
      p = array_ops.placeholder(dtypes.bool, name="p_hold")
      x = array_ops.placeholder(dtypes.int32, name="x_hold")
      y = array_ops.placeholder(dtypes.int32, name="y_hold")
      z = cond.cond(p, lambda: x, lambda: y)
      array_ops.identity(z, name="result")
  
imports: import argparse
  import os
  import sys
  from absl import app
  import six
  from six.moves import range
  from tensorflow.core.protobuf import saver_pb2
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.training import saver
label_desc: Use image node_id 5 for calling a global function with example usage: tfcond(_) without return types