class_docstr: Reverb ReplayBuffer exposed as a TF-Agents replay buffer.
class_docstr_tok: ["Reverb","ReplayBuffer","exposed","as","a","TF-Agents","replay","buffer","."]
docstr: Updates the priorities for the given keys.
docstr_tok: ["Updates","the","priorities","for","the","given","keys","."]
code: def update_priorities(self, keys, priorities):
      """Updates the priorities for the given keys."""
      # TODO(b/144858635): Return ops here and support v1.
      self._tf_client.update_priorities(
          self._table_name, keys, priorities
      )
  
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 13 for calling the ReverbReplayBuffer obj's underlying member method code with example usage: obj.update_priorities(keys, priorities) without return types