class_docstr: Abstract class for batch of environments inside the TensorFlow graph.
    
class_docstr_tok: ["Abstract","class","for","batch","of","environments","inside","the","TensorFlow","graph","."]
docstr: Step the batch of environments.
  
  The results of the step can be accessed from the variables defined below.
  
  Args:
    action: Tensor holding the batch of actions to apply.
  
  Returns:
    Operation.
docstr_tok: ["Step","the","batch","of","environments",".","The","results","of","the","step","can","be","accessed","from","the","variables","defined","below",".","Args",":","action",":","Tensor","holding","the","batch","of","actions","to","apply",".","Returns",":","Operation","."]
code: def simulate(self, action):
      """Step the batch of environments.
  
      The results of the step can be accessed from the variables defined below.
  
      Args:
        action: Tensor holding the batch of actions to apply.
  
      Returns:
        Operation.
      """
      raise NotImplementedError
  
file_path: tensor2tensor/tensor2tensor/rl/envs/in_graph_batch_env.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gym
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling the InGraphBatchEnv obj's underlying member method code with example usage: obj.simulate(action) without return types