Merge pull request #402 from MRXLT/0.2.0-fix-gpu-v3

bug fix

README.md

@@ -228,14 +228,6 @@ curl -H "Content-Type:application/json" -X POST -d '{"url": "https://paddle-serv
 | Description        | Get click probability from a feature vector of item          |
 
 
-
-| Key                | Value                                                        |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name         | DNN-CTR(with cube)                                           |
-| URL                | https://paddle-serving.bj.bcebos.com/unittest/ctr_cube_unittest.tar.gz                            |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/criteo_ctr_with_cube |
-| Description        | Get click probability from a feature vector of item          |
-
 <h2 align="center">Document</h2>
 
 ### New to Paddle Serving

README_CN.md

@@ -234,14 +234,6 @@ curl -H "Content-Type:application/json" -X POST -d '{"url": "https://paddle-serv
 
 
 
-| Key                | Value                                                        |
-| :----------------- | :----------------------------------------------------------- |
-| 模型名         | DNN-CTR(with cube)                                           |
-| 下载链接               | https://paddle-serving.bj.bcebos.com/unittest/ctr_cube_unittest.tar.gz                            |
-| 客户端/服务端代码 | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/criteo_ctr_with_cube |
-| 介绍        | 从项目的特征向量中获得点击概率         |
-
-
 <h2 align="center">文档</h2>
 
 ### 新手教程

python/examples/imdb/benchmark_batch.py

@@ -61,4 +61,7 @@ def single_func(idx, resource):
 
 multi_thread_runner = MultiThreadRunner()
 result = multi_thread_runner.run(single_func, args.thread, {})
-print(result)
+avg_cost = 0
+for cost in result[0]:
+    avg_cost += cost
+print("total cost of each thread".format(avg_cost / args.thread))

python/paddle_serving_server_gpu/__init__.py

@@ -115,6 +115,7 @@ class Server(object):
         self.reload_interval_s = 10
         self.module_path = os.path.dirname(paddle_serving_server.__file__)
         self.cur_path = os.getcwd()
+        self.check_cuda
         self.use_local_bin = False
         self.gpuid = 0
 
@@ -141,6 +142,13 @@ class Server(object):
             self.use_local_bin = True
             self.bin_path = os.environ["SERVING_BIN"]
 
+    def check_cuda(self):
+        r = os.system("whereis cuda")
+        if r != 0:
+            raise SystemExit(
+                "CUDA not found, please check your environment or use cpu version by \"pip install paddle_serving_server\""
+            )
+
     def set_gpuid(self, gpuid=0):
         self.gpuid = gpuid