diff --git a/app/api/api_image2sketch.py b/app/api/api_image2sketch.py
index 414361d..5bc6191 100644
--- a/app/api/api_image2sketch.py
+++ b/app/api/api_image2sketch.py
@@ -1,5 +1,6 @@
 import json
 import logging
+import time
 
 from fastapi import APIRouter, HTTPException
 
@@ -27,9 +28,11 @@ def image2sketch(request_item: Image2SketchModel):
         }
     """
     try:
+        start_time = time.time()
         logger.info(f"image2sketch request item is : @@@@@@:{json.dumps(request_item.dict())}")
         service = Image2SketchServer(request_item)
         sketch_url = service.get_result()
+        logger.info(f"run time is : {time.time() - start_time}")
     except Exception as e:
         logger.warning(f"image2sketch Run Exception @@@@@@:{e}")
         raise HTTPException(status_code=404, detail=str(e))
diff --git a/app/service/image2sketch/opt.py b/app/service/image2sketch/opt.py
index 03cf7a3..8f33b9c 100644
--- a/app/service/image2sketch/opt.py
+++ b/app/service/image2sketch/opt.py
@@ -7,7 +7,6 @@ class Config:
         self.dataroot = "app/service/image2sketch/datasets/ref_unpair"
         self.name = 'semi_unpair'
         self.gpu_ids = [0]
-        self.checkpoints_dir = 'app/service/image2sketch/checkpoints/'
         # 模型参数
         self.model = 'unpaired'
         self.input_nc = 3
@@ -48,5 +47,7 @@ class Config:
         self.morm = 'batch'
         if DEBUG:
             self.style_image = "service/image2sketch/datasets/ref_unpair/testC/20180422151845_stEe4.jpeg"
+            self.checkpoints_dir = 'service/image2sketch/checkpoints/'
         else:
+            self.checkpoints_dir = 'app/service/image2sketch/checkpoints/'
             self.style_image = "app/service/image2sketch/datasets/ref_unpair/testC/20180422151845_stEe4.jpeg"
diff --git a/app/service/image2sketch/server.py b/app/service/image2sketch/server.py
index 7a15b55..ebd363e 100644
--- a/app/service/image2sketch/server.py
+++ b/app/service/image2sketch/server.py
@@ -55,9 +55,6 @@ class Image2SketchServer:
         self.data['A'] = transform(A)
         self.data['A'] = self.data['A'].unsqueeze(0).to(device)
 
-    def __del__(self):
-        torch.cuda.empty_cache()
-
     def get_result(self):
         self.model.set_input(self.data)
         self.model.test()  # run inference