class_docstr: A TFUniformReplayBuffer with batched adds and uniform sampling.
class_docstr_tok: ["A","TFUniformReplayBuffer","with","batched","adds","and","uniform","sampling","."]
code: def variables(self):
      return (
          self._data_table.variables()
          + self._id_table.variables()
          + [self._last_id]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import gin
  import numpy
  import tensorflow
  from tf_agents.replay_buffers import replay_buffer
  from tf_agents.replay_buffers import table
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 2 for calling the TFUniformReplayBuffer obj's underlying member method code with example usage: obj.variables() and returns: unknown