policy.py [88:97]:
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            if self.normalized:
                if self.normalized != 'ob':
                    self.ret_rms = RunningMeanStd(scope="retfilter")
                self.ob_rms = RunningMeanStd(shape=ob_space.shape, scope="obsfilter")

            obz = self.observation_ph
            if self.normalized:
                obz = tf.clip_by_value((self.observation_ph - self.ob_rms.mean) / self.ob_rms.std, -5.0, 5.0)

            last_out = obz
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policy.py [148:157]:
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            if self.normalized:
                if self.normalized != 'ob':
                    self.ret_rms = RunningMeanStd(scope="retfilter")
                self.ob_rms = RunningMeanStd(shape=ob_space.shape, scope="obsfilter")

            obz = self.observation_ph
            if self.normalized:
                obz = tf.clip_by_value((self.observation_ph - self.ob_rms.mean) / self.ob_rms.std, -5.0, 5.0)

            last_out = obz
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