code: def _AccumulateNTemplate(self, inputs, init, shape, validate_shape):
      var = gen_state_ops.temporary_variable(
          shape=shape, dtype=inputs[0].dtype.base_dtype
      )
      ref = state_ops.assign(var, init, validate_shape=validate_shape)
      update_ops = [
          state_ops.assign_add(ref, tensor, use_locking=True).op
          for tensor in inputs
      ]
      with ops.control_dependencies(update_ops):
          return gen_state_ops.destroy_temporary_variable(
              ref, var_name=var.op.name
          )
  
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 1 for calling the AccumulateNBenchmark obj's underlying member method code with example usage: obj._AccumulateNTemplate(inputs, init, shape, validate_shape) and returns: gen_state_ops