revert changes

ml-agents/mlagents/trainers/learn.py

             param_manager=env_parameter_manager,
             init_path=maybe_init_path,
             multi_gpu=False,
-            force_torch=force_torch,
+            force_torch="torch" in DetectDefault.non_default_args,
         )
         # Create controller and begin training.
         tc = TrainerController(

ml-agents/mlagents/trainers/settings.py

     threaded: bool = True
     self_play: Optional[SelfPlaySettings] = None
     behavioral_cloning: Optional[BehavioralCloningSettings] = None
-    framework: FrameworkType = FrameworkType.PYTORCH
+    framework: FrameworkType = FrameworkType.TENSORFLOW
 
     cattr.register_structure_hook(
         Dict[RewardSignalType, RewardSignalSettings], RewardSignalSettings.structure