code: def tfassert_eq(_):
      x = array_ops.placeholder(dtypes.int32, name="x_hold")
      y = array_ops.placeholder(dtypes.int32, name="y_hold")
      control_flow_assert.Assert(
          math_ops.equal(x, y), ["Expected x == y."], name="assert_eq"
      )
      math_ops.add(x, math_ops.negative(y), name="x_y_diff")
  
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 4 for calling a global function with example usage: tfassert_eq(_) without return types