code: def _AccumulateNInitializedWithMerge(self, inputs):
      return self._AccumulateNTemplate(
          inputs,
          init=array_ops.zeros_like(
              gen_control_flow_ops.merge(inputs)[0]
          ),
          shape=tensor_shape.TensorShape([0]),
          validate_shape=False,
      )
  
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 3 for calling the AccumulateNBenchmark obj's underlying member method code with example usage: obj._AccumulateNInitializedWithMerge(inputs) and returns: self