code: def tftop_k(_):
      x = array_ops.placeholder(dtypes.int32, shape=[5], name="x")
      output = nn_ops.top_k(x, 2, name="values")
      array_ops.identity(output[1], name="indices")
  
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 11 for calling a global function with example usage: tftop_k(_) without return types