temporarily initialize model with trained model (to be reverted)

com.unity.ml-agents/Runtime/Academy.cs

             var trainer = m_Trainers.Find(x => x.BehaviorName == behaviorName);
             if (trainer == null)
             {
-                trainer = new Trainer(behaviorName, actionSpec);
+                trainer = new Trainer(behaviorName, actionSpec, model);
                 m_Trainers.Add(trainer);
             }
             return trainer;

com.unity.ml-agents/Runtime/Policies/BehaviorParameters.cs

                         return new BarracudaPolicy(actionSpec, actuatorManager, m_Model, m_InferenceDevice, m_BehaviorName);
                     }
                 case BehaviorType.InEditorTraining:
-                    return new TrainingPolicy(actionSpec, m_BehaviorName);
+                    return new TrainingPolicy(actionSpec, m_BehaviorName, m_Model);
                 case BehaviorType.Default:
                     if (Academy.Instance.IsCommunicatorOn)
                     {

com.unity.ml-agents/Runtime/Policies/TrainingModelRunner.cs

         /// </exception>
         public TrainingModelRunner(
             ActionSpec actionSpec,
+            NNModel model,
             int seed = 0)
         {
             Model barracudaModel;
-            barracudaModel = ModelLoader.Load(new NNModel());
+            // barracudaModel = ModelLoader.Load(new NNModel());
+            barracudaModel = ModelLoader.Load(model);
+            m_Model = barracudaModel;
-
 
             m_InferenceInputs = barracudaModel.GetInputTensors();
             m_OutputNames = barracudaModel.GetOutputNames();

com.unity.ml-agents/Runtime/Policies/TrainingPolicy.cs

         /// <inheritdoc />
         public TrainingPolicy(
             ActionSpec actionSpec,
-            string behaviorName
+            string behaviorName,
+            NNModel model
         )
         {
             var trainer = Academy.Instance.GetOrCreateTrainer(behaviorName, actionSpec, model);

com.unity.ml-agents/Runtime/Trainer.cs

         int batchSize = 64;
         float GAMMA;
 
-        public Trainer(string behaviorName, ActionSpec actionSpec, int seed=0)
+        public Trainer(string behaviorName, ActionSpec actionSpec, NNModel model, int seed=0)
-            m_ModelRunner = new TrainingModelRunner(actionSpec, seed);
+            m_ModelRunner = new TrainingModelRunner(actionSpec, model, seed);
             Academy.Instance.TrainerUpdate += Update;
         }