code: def testVariadicReduceV2SingleArg(self):
      @def_function.function
      def reducer_add(op_element, acc_val):
          return (op_element + acc_val,)
  
      dtype = np.float32
      arg_spec = array_ops.zeros(
          [], dtype
      )  # pylint: disable=cell-var-from-loop
      reducer_func = reducer_add.get_concrete_function(
          arg_spec, arg_spec
      )
  
      res = xla.variadic_reduce(
          (array_ops.placeholder(np.float32, shape=(3, 4, 5)),),
          (array_ops.placeholder(np.float32, shape=()),),
          dimensions_to_reduce=(1,),
          reducer=reducer_func,
      )
      self.assertLen(res, 1)
      self.assertEqual(res[0].shape, tensor_shape.TensorShape([3, 5]))
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 14 for calling the XlaOpsShapeInferenceTest obj's underlying member method code with example usage: obj.testVariadicReduceV2SingleArg() and returns: unknown