class_docstr: Reverb ReplayBuffer exposed as a TF-Agents replay buffer.
class_docstr_tok: ["Reverb","ReplayBuffer","exposed","as","a","TF-Agents","replay","buffer","."]
code: def _verify_num_steps(self, num_steps):
      if num_steps and self._sequence_length:
          if num_steps > self._sequence_length:
              raise ValueError(
                  "Can not guarantee sequential data for num_steps as sequence "
                  "length of the data is smaller.  This is not supported.  "
                  "num_steps > sequence_length ({} vs. {})".format(
                      num_steps, self._sequence_length
                  )
              )
          if self._sequence_length % num_steps != 0:
              raise ValueError(
                  "Can not guarantee sequential data since sequence_length is not a "
                  "multiple of num_steps ({} vs. {})".format(
                      num_steps, self._sequence_length
                  )
              )
  
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 14 for calling the ReverbReplayBuffer obj's underlying member method code with example usage: obj._verify_num_steps(num_steps) without return types