Merge pull request #361 from barrierye/fix-doc

add gpu_ids description

doc/RUN_IN_DOCKER.md

 # How to run PaddleServing in Docker
 
-([简体中文](./RUN_IN_DOCKER_CN.md)|English)
+([简体中文](RUN_IN_DOCKER_CN.md)|English)
 
 ## Requirements
 
@@ -137,6 +137,13 @@ pip install paddle-serving-server-gpu
 
 ### Test example
 
+When running the GPU Server, you need to set the GPUs used by the prediction service through the `--gpu_ids` option, and the CPU is used by default. An error will be reported when the value of `--gpu_ids` exceeds the environment variable `CUDA_VISIBLE_DEVICES`. The following example specifies to use a GPU with index 0:
+```shell
+export CUDA_VISIBLE_DEVICES=0,1
+python -m paddle_serving_server_gpu.serve --model uci_housing_model --port 9292 --gpu_ids 0
+```
+
+
 Get the trained Boston house price prediction model by the following command:
 
 ```bash
@@ -180,4 +187,9 @@ tar -xzf uci_housing.tar.gz
   print(fetch_map)
   ```
 
-  
+
+
+
+## Attention
+
+The images provided by this document are all runtime images, which do not support compilation. If you want to compile from source, refer to [COMPILE](COMPILE.md).

doc/RUN_IN_DOCKER_CN.md

@@ -129,12 +129,13 @@ pip install paddle-serving-server-gpu
 
 ### 测试example
 
-GPU版本在运行Server端代码前需要设置`CUDA_VISIBLE_DEVICES`环境变量来指定预测服务使用的GPU，下面的示例为指定索引为0和1两块GPU：
-
-```bash
- export CUDA_VISIBLE_DEVICES=0,1
+在运行GPU版Server时需要通过`--gpu_ids`选项设置预测服务使用的GPU，缺省状态默认使用CPU。当设置的`--gpu_ids`超出环境变量`CUDA_VISIBLE_DEVICES`时会报错。下面的示例为指定使用索引为0的GPU：
+```shell
+export CUDA_VISIBLE_DEVICES=0,1
+python -m paddle_serving_server_gpu.serve --model uci_housing_model --port 9292 --gpu_ids 0
 ```
 
+
 通过下面命令获取训练好的Boston房价预估模型：
 
 ```bash
@@ -177,3 +178,7 @@ tar -xzf uci_housing.tar.gz
   fetch_map = client.predict(feed={"x": data}, fetch=["price"])
   print(fetch_map)
   ```
+
+## 注意事项
+
+该文档提供的镜像均为运行镜像，不支持开发编译。如果想要从源码编译，请查看[如何编译PaddleServing](COMPILE.md)。