commenting action pre continuous

ml-agents/mlagents/trainers/agent_processor.py

             interrupted = step.interrupted if terminated else False
             # Add the outputs of the last eval
             action = stored_take_action_outputs["action"][idx]
-            if self.policy.use_continuous_act:
-                action_pre = stored_take_action_outputs["pre_action"][idx]
-            else:
-                action_pre = None
+            #if self.policy.use_continuous_act:
+            #    action_pre = stored_take_action_outputs["pre_action"][idx]
+            #else:
+            #    action_pre = None
+            action_pre = None
             action_probs = stored_take_action_outputs["log_probs"][idx]
             action_mask = stored_decision_step.action_mask
             prev_action = self.policy.retrieve_previous_action([global_id])[0, :]