Merge pull request #390 from wangjiawei04/develop

fix Ctr with cube

python/examples/criteo_ctr_with_cube/README.md

@@ -19,15 +19,18 @@ go to directory `python/examples/criteo_ctr_with_cube`
 sh get_data.sh
 ```
 
-### Train and Save Model
+### Download Model and Sparse Parameter Sequence Files
 ```
-python local_train.py
+wget https://paddle-serving.bj.bcebos.com/unittest/ctr_cube_unittest.tar.gz
+tar xf ctr_cube_unittest.tar.gz
+mv models/ctr_client_conf ./
+mv models/ctr_serving_model_kv ./
+mv models/data ./cube/
 ```
-the trained model will be in ./ctr_server_model and ./ctr_client_config, and ctr_server_model_kv, ctr_client_conf_kv。
+the model will be in ./ctr_server_model_kv and ./ctr_client_config.
 
 ### Start Sparse Parameter Indexing Service
 ```
-cp ../../../build_server/core/predictor/seq_generator seq_generator
 cp ../../../build_server/output/bin/cube* ./cube/
 sh cube_prepare.sh &
 ```

python/examples/criteo_ctr_with_cube/README_CN.md

@@ -17,15 +17,18 @@ make install -j10
 sh get_data.sh
 ```
 
-### 保存模型和配置文件
+### 下载模型和稀疏参数序列文件
 ```
-python local_train.py
+wget https://paddle-serving.bj.bcebos.com/unittest/ctr_cube_unittest.tar.gz
+tar xf ctr_cube_unittest.tar.gz
+mv models/ctr_client_conf ./
+mv models/ctr_serving_model_kv ./
+mv models/data ./cube/
 ```
-执行脚本后会在当前目录生成ctr_server_model和ctr_client_config文件夹,以及ctr_server_model_kv, ctr_client_conf_kv。
+执行脚本后会在当前目录有ctr_server_model_kv和ctr_client_config文件夹。
 
 ### 启动稀疏参数索引服务
 ```
-cp ../../../build_server/core/predictor/seq_generator seq_generator
 cp ../../../build_server/output/bin/cube* ./cube/
 sh cube_prepare.sh &
 ```