class_docstr: SimulatedBatchEnv in a Gym-like interface, environments are  batched.
code: def step(self, actions):
      obs, rewards, dones = self._sess.run(
          [self._obs_t, self._rewards_t, self._dones_t],
          feed_dict={self._actions_t: actions},
      )
      return obs, rewards, dones
  
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 7 for calling the SimulatedBatchGymEnv obj's underlying member method code with example usage: obj.step(actions) and returns: obs,  rewards,  dones