code: def _binary_op(fn):
      """Wrapper that restricts `fn` to have the correct signature."""
  
      def binary_op_wrapper(x, y, name=None):
          return fn(x, y, name=name)
  
      return binary_op_wrapper
  
imports: from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from local_xla.xla import xla_data_pb2
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import bitwise_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops.numpy_ops import np_utils
label_desc: Use image node_id 5 for calling a global function with example usage: _binary_op(fn) and returns: binary_op_wrapper, fn