提交 a8a4462b 编写于 作者: D Dong Daxiang 提交者: GitHub

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

bug fix
......@@ -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
......
......@@ -228,20 +228,12 @@ curl -H "Content-Type:application/json" -X POST -d '{"url": "https://paddle-serv
| Key | Value |
| :----------------- | :----------------------------------------------------------- |
| 模型名 | DNN-CTR |
| 下载链接 | https://paddle-serving.bj.bcebos.com/criteo_ctr_example/criteo_ctr_demo_model.tar.gz |
| 下载链接 | https://paddle-serving.bj.bcebos.com/criteo_ctr_example/criteo_ctr_demo_model.tar.gz |
| 客户端/服务端代码 | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/criteo_ctr |
| 介绍 | 从项目的特征向量中获得点击概率 |
| 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
......
......@@ -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))
......@@ -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
......
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