code: def _RunBenchmark(self, tag, input_fn, sizes, ninputs, repeats):
      for size in sizes:
          for ninput in ninputs:
              graph = ops.Graph()
              with graph.as_default():
                  inputs = input_fn(size, ninput)
  
              format_args = (tag, size, ninput, repeats)
              self._SetupAndRunBenchmark(
                  graph, inputs, repeats, format_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 10 for calling the AccumulateNBenchmark obj's underlying member method code with example usage: obj._RunBenchmark(tag, input_fn, sizes, ninputs, repeats) without return types