code: def _update(self, Q_grad, pi_grad):
      self.Q_adam.update(Q_grad, self.Q_lr)
      self.pi_adam.update(pi_grad, self.pi_lr)
  
imports: from collections import OrderedDict
  import numpy
  import tensorflow
  from tensorflow.contrib.staging import StagingArea
  from baselines import logger
  from baselines.her.util import import_function, store_args, flatten_grads, transitions_in_episode_batch, convert_episode_to_batch_major
  from baselines.her.normalizer import Normalizer
  from baselines.her.replay_buffer import ReplayBuffer
  from baselines.common.mpi_adam import MpiAdam
  from baselines.common import tf_util
label_desc: Use image node_id 11 for calling the DDPG obj's underlying member method code with example usage: obj._update(Q_grad, pi_grad) without return types