class_docstr: Env wrapper that normalize reward, observation based on running mean return and running mean variance.
      
class_docstr_tok: ["Env","wrapper","that","normalize","reward",",","observation","based","on","running","mean","return","and","running","mean","variance","."]
code: def get_ob_rms(self):
      return self.ob_rms
  
imports: import numpy
  import gym
  import time
  from parl.env.compat_wrappers import CompatWrapper
label_desc: Use image node_id 5 for calling the VecNormalizeEnv obj's underlying member method code with example usage: obj.get_ob_rms() and returns: self