class_docstr: SimulatedBatchEnv in a Gym-like interface, environments are  batched.
code: def batch_size(self):
      return self._batch_env.batch_size
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from gym import Env
  import numpy
  from tensor2tensor.rl.envs.simulated_batch_env import SimulatedBatchEnv
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the SimulatedBatchGymEnv obj's underlying member method code with example usage: obj.batch_size() and returns: self