class_docstr: Reverb ReplayBuffer exposed as a TF-Agents replay buffer.
class_docstr_tok: ["Reverb","ReplayBuffer","exposed","as","a","TF-Agents","replay","buffer","."]
docstr: Adds a batch of items to the replay buffer.
  
  ***Warning***: `ReverbReplayBuffer` does not support `add_batch`. See
  `reverb_utils.ReverbObserver` for more information on how to add data
  to the buffer.
  
  Args:
    items: Ignored.
  
  Returns:
    Nothing.
  
  Raises: NotImplementedError
docstr_tok: ["Adds","a","batch","of","items","to","the","replay","buffer",".","*","*","*","Warning","*","*","*",":","`","ReverbReplayBuffer","`","does","not","support","`","add_batch","`",".","See","`","reverb_utils.ReverbObserver","`","for","more","information","on","how","to","add","data","to","the","buffer",".","Args",":","items",":","Ignored",".","Returns",":","Nothing",".","Raises",":","NotImplementedError"]
code: def add_batch(self, items):
      """Adds a batch of items to the replay buffer.
  
      ***Warning***: `ReverbReplayBuffer` does not support `add_batch`. See
      `reverb_utils.ReverbObserver` for more information on how to add data
      to the buffer.
  
      Args:
        items: Ignored.
  
      Returns:
        Nothing.
  
      Raises: NotImplementedError
      """
      raise NotImplementedError(
          "ReverbReplayBuffer does not support `add_batch`. See "
          "`reverb_utils.ReverbObserver` for more information on how to add data "
          "to the buffer."
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gin
  import tensorflow.compat.v2
  from tf_agents.replay_buffers import replay_buffer
  from tf_agents.typing import types
  from tf_agents.utils import lazy_loader
label_desc: Use image node_id 7 for calling the ReverbReplayBuffer obj's underlying member method code with example usage: obj.add_batch(items) without return types