diff --git a/hub_module/modules/image/keypoint_detection/hand_pose_localization/model.py b/hub_module/modules/image/keypoint_detection/hand_pose_localization/model.py
index c79e8177f08c645b401ac73fa9d92499147dcb86..acc47f7fc0a170aab56dcb71e7049e2b07d37e12 100644
--- a/hub_module/modules/image/keypoint_detection/hand_pose_localization/model.py
+++ b/hub_module/modules/image/keypoint_detection/hand_pose_localization/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,31 +18,33 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-        
-        # 预训练模型路径
-        model = os.path.join(modelpath, "__model__")
-        params = os.path.join(modelpath, "__params__")
-
+                
         # 加载模型参数
-        config = AnalysisConfig(model, params)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
+        config.enable_memory_optim()
         config.switch_use_feed_fetch_ops(False)
         config.switch_specify_input_names(True)
         
@@ -58,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/keypoint_detection/hand_pose_localization/module.py b/hub_module/modules/image/keypoint_detection/hand_pose_localization/module.py
index 74a4125314aaf805107214e1ac6cba8765f02a3b..04e5342a05d0bfd42f13ad29d5610d8d33a29c8a 100644
--- a/hub_module/modules/image/keypoint_detection/hand_pose_localization/module.py
+++ b/hub_module/modules/image/keypoint_detection/hand_pose_localization/module.py
@@ -1,4 +1,3 @@
-# coding=utf-8
 import os
 
 from paddlehub import Module
@@ -22,7 +21,7 @@ class Hand_Pose_Localization(Module):
         self.model_path = os.path.join(self.directory, "hand_pose_localization")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=True)       
     
     # 关键点检测函数
     def keypoint_detection(
diff --git a/hub_module/modules/image/style_transfer/UGATIT_100w/model.py b/hub_module/modules/image/style_transfer/UGATIT_100w/model.py
index f1639493622da8209cdb6d28808fc0aaad154349..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/UGATIT_100w/model.py
+++ b/hub_module/modules/image/style_transfer/UGATIT_100w/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,24 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
diff --git a/hub_module/modules/image/style_transfer/UGATIT_100w/module.py b/hub_module/modules/image/style_transfer/UGATIT_100w/module.py
index 5a2bdd0fe8dd9bf03baa13c73e6ee3c170a60fbf..f00f3ae188777c0e74bbc40c7a428ff3f0d96371 100644
--- a/hub_module/modules/image/style_transfer/UGATIT_100w/module.py
+++ b/hub_module/modules/image/style_transfer/UGATIT_100w/module.py
@@ -21,7 +21,7 @@ class UGATIT_100w(Module):
         self.model_path = os.path.join(self.directory, "UGATIT_100w")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False) 
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/UGATIT_83w/model.py b/hub_module/modules/image/style_transfer/UGATIT_83w/model.py
index f1639493622da8209cdb6d28808fc0aaad154349..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/UGATIT_83w/model.py
+++ b/hub_module/modules/image/style_transfer/UGATIT_83w/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,24 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
diff --git a/hub_module/modules/image/style_transfer/UGATIT_83w/module.py b/hub_module/modules/image/style_transfer/UGATIT_83w/module.py
index 7baf4584a6b2eda3b061db91602d139fb0ae68c6..26c0d4880c26de942c89af89ee7ca94d2008a894 100644
--- a/hub_module/modules/image/style_transfer/UGATIT_83w/module.py
+++ b/hub_module/modules/image/style_transfer/UGATIT_83w/module.py
@@ -21,7 +21,7 @@ class UGATIT_83w(Module):
         self.model_path = os.path.join(self.directory, "UGATIT_83w")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)     
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/UGATIT_92w/model.py b/hub_module/modules/image/style_transfer/UGATIT_92w/model.py
index f1639493622da8209cdb6d28808fc0aaad154349..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/UGATIT_92w/model.py
+++ b/hub_module/modules/image/style_transfer/UGATIT_92w/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,24 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
diff --git a/hub_module/modules/image/style_transfer/UGATIT_92w/module.py b/hub_module/modules/image/style_transfer/UGATIT_92w/module.py
index b6a8723a88337359685a56c8a0049a0b87e65971..cb5443a08ce0970bf81b94e84909f01154b7d3fe 100644
--- a/hub_module/modules/image/style_transfer/UGATIT_92w/module.py
+++ b/hub_module/modules/image/style_transfer/UGATIT_92w/module.py
@@ -21,7 +21,7 @@ class UGATIT_92w(Module):
         self.model_path = os.path.join(self.directory, "UGATIT_92w")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)  
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/model.py b/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/module.py b/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/module.py
index 8b77d8944b814ddf95c94d8042ac01a57d7cc5ed..7cc68bd7f1be32dc6faf7360c93ce95c20f8ab38 100644
--- a/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v1_hayao_60/module.py
@@ -21,7 +21,7 @@ class Animegan_V1_Hayao_60(Module):
         self.model_path = os.path.join(self.directory, "animegan_v1_hayao_60")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)     
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/model.py b/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/module.py b/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/module.py
index cdb31f679435880aced64d86ec7a2529ae950a08..15e8aa166b0cd69601a0150b5f49887d8dbabb8f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_hayao_64/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Hayao_64(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_hayao_64")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)     
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/model.py b/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/module.py b/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/module.py
index ebb1640ee159fcc54b4655e80329c7259bc0ca74..4a842288a2b981e2b747fce8bcd3e86a03bb08df 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_hayao_99/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Hayao_99(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_hayao_99")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)    
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/model.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/module.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/module.py
index 4631c2811eacff546e612d56ca425a9daa4f43d7..c689126a19f0a16f02e10f1890b8d378d14bf3ea 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_54/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Paprika_54(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_paprika_54")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)    
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/model.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/module.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/module.py
index 7d54fafabb396b3f0c8f360d182e1c9e2ac00cc4..653894236c71176f80cfb2e74697c9da9ac953d3 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_74/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Paprika_74(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_paprika_74")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)    
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/model.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/module.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/module.py
index c57d71727f69f18bc700d8776027130176b52b0f..0fd91bebb6d0699c3c0548b5bb593584a96f393f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_97/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Paprika_97(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_paprika_97")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)    
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/model.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/module.py b/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/module.py
index 6daab80718a1e5809489df9e7732edee05472dce..d040ca4228a846765f7704cdcb7f013b6080f988 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_paprika_98/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Paprika_98(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_paprika_98")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)      
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/model.py b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/module.py b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/module.py
index cc0612f2f92a40683d5ca6fe2cd24f769ef5b1a4..ab016ba852abd20f03519ce76e12701e8380a5ae 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_33/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Shinkai_33(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_shinkai_33")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)    
     
     # 关键点检测函数
     def style_transfer(
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/model.py b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/model.py
index a72cf8a33eac897f749b92a3f1d7fe70b792807a..66db7bba3d3db8d86f038b62a337a48bb218b55f 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/model.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/model.py
@@ -7,9 +7,9 @@ __all__ = ['Model']
 
 class Model():
     # 初始化函数
-    def __init__(self, modelpath, use_gpu):
+    def __init__(self, modelpath, use_gpu=False, use_mkldnn=True, combined=True):
         # 加载模型预测器
-        self.predictor = self.load_model(modelpath, use_gpu)
+        self.predictor = self.load_model(modelpath, use_gpu, use_mkldnn, combined)
 
         # 获取模型的输入输出
         self.input_names = self.predictor.get_input_names()
@@ -18,25 +18,30 @@ class Model():
         self.output_tensor = self.predictor.get_output_tensor(self.output_names[0])
 
     # 模型加载函数
-    def load_model(self, modelpath, use_gpu):
+    def load_model(self, modelpath, use_gpu, use_mkldnn, combined):
         # 对运行位置进行配置
         if use_gpu:
             try:
-                places = os.environ["CUDA_VISIBLE_DEVICES"]
-                places = int(places[0])
-            except Exception as e:
-                print('Error: %s. Please set the environment variables "CUDA_VISIBLE_DEVICES".' % e)
+                int(os.environ.get('CUDA_VISIBLE_DEVICES'))
+            except Exception:
+                print('Error! Unable to use GPU. Please set the environment variables "CUDA_VISIBLE_DEVICES=GPU_id" to use GPU.')
                 use_gpu = False
-
+                
         # 加载模型参数
-        config = AnalysisConfig(modelpath)
+        if combined:
+            model = os.path.join(modelpath, "__model__")
+            params = os.path.join(modelpath, "__params__")
+            config = AnalysisConfig(model, params)
+        else:
+            config = AnalysisConfig(modelpath)
 
         # 设置参数
         if use_gpu:   
-            config.enable_use_gpu(100, places)
+            config.enable_use_gpu(100, 0)
         else:
             config.disable_gpu()
-            config.enable_mkldnn()
+            if use_mkldnn:
+                config.enable_mkldnn()
         config.disable_glog_info()
         config.switch_ir_optim(True)
         config.enable_memory_optim()
@@ -55,7 +60,8 @@ class Model():
 
         # 遍历输入数据进行预测
         for input_data in input_datas:
-            self.input_tensor.copy_from_cpu(input_data)
+            inputs = input_data.copy()
+            self.input_tensor.copy_from_cpu(inputs)
             self.predictor.zero_copy_run()
             output = self.output_tensor.copy_to_cpu()
             outputs.append(output)
diff --git a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/module.py b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/module.py
index d733092d979e610c2aff2fc719113a6b8b4298db..c16775e589d565f465b9f7d31023f96a1b2c7f52 100644
--- a/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/module.py
+++ b/hub_module/modules/image/style_transfer/animegan_v2_shinkai_53/module.py
@@ -21,7 +21,7 @@ class Animegan_V2_Shinkai_53(Module):
         self.model_path = os.path.join(self.directory, "animegan_v2_shinkai_53")
 
         # 加载模型
-        self.model = Model(self.model_path, use_gpu)     
+        self.model = Model(self.model_path, use_gpu=use_gpu, use_mkldnn=False, combined=False)    
     
     # 关键点检测函数
     def style_transfer(