diff --git a/examples/robot/lifelong_learning_bench/benchmarkingjob-simple.yaml b/examples/robot/lifelong_learning_bench/benchmarkingjob-simple.yaml
index 3e6b5a49..24f795a3 100644
--- a/examples/robot/lifelong_learning_bench/benchmarkingjob-simple.yaml
+++ b/examples/robot/lifelong_learning_bench/benchmarkingjob-simple.yaml
@@ -2,7 +2,7 @@ benchmarkingjob:
   # job name of bechmarking; string type;
   name: "benchmarkingjob"
   # the url address of job workspace that will reserve the output of tests; string type;
-  workspace: "/home/vipuser/ianvs/lifelong_learning_bench/robot-workspace-test"
+  workspace: "/ianvs/lifelong_learning_bench/robot-workspace-test"
 
   # the url address of test environment configuration file; string type;
   # the file format supports yaml/yml;
diff --git a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-sam.py b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-sam.py
index 8b0d2c39..23e37902 100644
--- a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-sam.py
+++ b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-sam.py
@@ -82,6 +82,9 @@ def train(self, train_data, valid_data=None, **kwargs):
         return self.train_model_url
 
     def predict(self, data, **kwargs):
+        """
+        Use the RFNet model to predict at the edge 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -103,6 +106,9 @@ def predict(self, data, **kwargs):
         return predictions
     
     def predict_cloud(self, data, **kwargs):
+        """
+        Use the SAM model to predict at the cloud 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -124,6 +130,9 @@ def predict_cloud(self, data, **kwargs):
         return predictions
     
     def predict_score(self, data, **kwargs):
+        """
+        Get the prediction scores of RFNet model 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
diff --git a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-simple.py b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-simple.py
index 5563a82c..68820377 100755
--- a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-simple.py
+++ b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-simple.py
@@ -82,6 +82,9 @@ def train(self, train_data, valid_data=None, **kwargs):
         return self.train_model_url
 
     def predict(self, data, **kwargs):
+        """
+        Use the RFNet model to predict at the edge 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -103,6 +106,9 @@ def predict(self, data, **kwargs):
         return predictions
     
     def predict_cloud(self, data, **kwargs):
+        """
+        Use the SAM model to predict at the cloud 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -124,6 +130,9 @@ def predict_cloud(self, data, **kwargs):
         return predictions
     
     def predict_score(self, data, **kwargs):
+        """
+        Get the prediction scores of RFNet model 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
diff --git a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-sam.py b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-sam.py
index bb339951..c5b09d9a 100644
--- a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-sam.py
+++ b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-sam.py
@@ -82,6 +82,9 @@ def train(self, train_data, valid_data=None, **kwargs):
         return self.train_model_url
 
     def predict(self, data, **kwargs):
+        """
+        Use the Segformer model to predict at the edge 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -103,6 +106,9 @@ def predict(self, data, **kwargs):
         return predictions
     
     def predict_cloud(self, data, **kwargs):
+        """
+        Use the SAM model to predict at the cloud 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -124,6 +130,9 @@ def predict_cloud(self, data, **kwargs):
         return predictions
     
     def predict_score(self, data, **kwargs):
+        """
+        Get the prediction scores of RFNet model 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
diff --git a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-simple.py b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-simple.py
index e89200ce..370ee2e3 100644
--- a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-simple.py
+++ b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel-vit-simple.py
@@ -82,6 +82,9 @@ def train(self, train_data, valid_data=None, **kwargs):
         return self.train_model_url
 
     def predict(self, data, **kwargs):
+        """
+        Use the Segformer model to predict at the edge 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -103,6 +106,9 @@ def predict(self, data, **kwargs):
         return predictions
     
     def predict_cloud(self, data, **kwargs):
+        """
+        Use the SAM model to predict at the cloud 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
@@ -124,6 +130,9 @@ def predict_cloud(self, data, **kwargs):
         return predictions
     
     def predict_score(self, data, **kwargs):
+        """
+        Get the prediction scores of RFNet model 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}
diff --git a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel.py b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel.py
index 37e3fbd9..b93e2f48 100755
--- a/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel.py
+++ b/examples/robot/lifelong_learning_bench/testalgorithms/rfnet/basemodel.py
@@ -89,6 +89,9 @@ def train(self, train_data, valid_data=None, **kwargs):
         return self.train_model_url
 
     def predict(self, data, **kwargs):
+        """
+        Use the RFNet model to predict at the edge 
+        """
         if len(data) > 10:
             print("predict start for big data")
             my_kwargs = {'num_workers': self.val_args.workers, 'pin_memory': True}