class_docstr: Base wrapper class.
class_docstr_tok: ["Base","wrapper","class","."]
code: def __init__(self, batch_env):
      super(WrapperBase, self).__init__(
          batch_env.observ_space, batch_env.action_space
      )
      self._length = len(batch_env)
      self._batch_env = batch_env
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import range
  from tensor2tensor.rl.envs.in_graph_batch_env import InGraphBatchEnv
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new WrapperBase object from inherited base classes: InGraphBatchEnv with example: obj = WrapperBase(batch_env)