update pbnbv

app_inference.py

@@ -4,6 +4,8 @@ from runners.global_and_local_points_inferencer import GlobalAndLocalPointsInfer
 from runners.local_points_inferencer import LocalPointsInferencer
 from runners.inference_server import InferencerServer
 from runners.evaluate_uncertainty_guide import EvaluateUncertaintyGuide
+from runners.evaluate_pbnbv import EvaluatePBNBV
+
 @PytorchBootApplication("global_points_inference")
 class GlobalPointsInferenceApp:
     @staticmethod
@@ -46,6 +48,27 @@ class LocalPointsInferenceApp:
         '''       
         LocalPointsInferencer("./configs/local/local_only_inference_config.yaml").run()
 
+@PytorchBootApplication("real_global_only_inference")
+class RealGlobalOnlyInferenceApp:
+    @staticmethod
+    def start():
+        ''' 
+            call default or your custom runners here, code will be executed 
+        automatically when type "pytorch-boot run" or "ptb run" in terminal
+        
+            example:
+                Trainer("path_to_your_train_config").run()
+                Evaluator("path_to_your_eval_config").run()
+        '''       
+        GlobalPointsInferencer("./configs/local/real_global_only_inference_config.yaml").run()
+
+@PytorchBootApplication("mlp_inference")
+class MLPInferenceApp:
+    @staticmethod
+    def start():
+        GlobalAndLocalPointsInferencer("./configs/local/mlp_inference_config.yaml").run()
+
+
 @PytorchBootApplication("server")
 class InferenceServerApp:
     @staticmethod
@@ -72,4 +95,10 @@ class EvaluateUncertaintyGuideApp:
                 Trainer("path_to_your_train_config").run()
                 Evaluator("path_to_your_eval_config").run()
         '''       
-        EvaluateUncertaintyGuide("./configs/local/uncertainty_guide_evaluation_config.yaml").run()
+        EvaluateUncertaintyGuide("./configs/local/uncertainty_guide_evaluation_config.yaml").run()
+
+@PytorchBootApplication("evaluate_pbnbv")
+class EvaluatePBNBVApp:
+    @staticmethod
+    def start():
+        EvaluatePBNBV("./configs/local/pbnbv_evalutaion_config.yaml").run()