code: def benchmarkAccumulateN(self):
      self._template = "{:<15}" * 6
      args = {
          "sizes": (128, 128**2),
          "ninputs": (1, 10, 100, 300),
          "repeats": 100,
      }
      benchmarks = (
          ("Replicated", self._GenerateReplicatedInputs),
          ("Unordered", self._GenerateUnorderedInputs),
          ("Ordered", self._GenerateOrderedInputs),
          ("Reversed", self._GenerateReversedInputs),
      )
  
      print(
          self._template.format(
              "", "Size", "#Inputs", "#Repeat", "Method", "Duration"
          )
      )
      print("-" * 90)
      for benchmark in benchmarks:
          self._RunBenchmark(*benchmark, **args)
  
imports: import random
  import time
  from tensorflow.python.client import session
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import gen_control_flow_ops
  from tensorflow.python.ops import gen_state_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the AccumulateNBenchmark obj's underlying member method code with example usage: obj.benchmarkAccumulateN() without return types