Merge pull request #100 from hysunflower/bug_fix

bug_fix

python/paddle_fl/mpc/examples/mnist_demo/process_data.py

@@ -17,6 +17,7 @@ Process data for MNIST.
 import numpy as np
 import paddle
 import six
+import os
 from paddle_fl.mpc.data_utils import aby3
 
 sample_reader = paddle.dataset.mnist.train()

python/paddle_fl/mpc/examples/uci_demo/README.md

@@ -31,7 +31,7 @@ export REDIS_PORT=/your/redis/port
 Launch demo with the `run_standalone.sh` script. The concrete command is:
 
 ```bash
-bash run_standalone.sh uci_housing_demo.py
+bash run_standalone.sh uci_demo.py
 ```
 
 The loss with cypher text format will be displayed on screen while training. At the same time, the loss data would be also save in `/tmp` directory, and the format of file name is similar to what is described in Step 1.
@@ -84,9 +84,9 @@ Data owner encrypts data. Concrete operations are consistent with “Prepare Dat
 
 According to the suffix of file name, distribute encrypted data files to `/tmp ` directories of all 3 computation parties. For example, send `house_feature.part0` and `house_label.part0` to `/tmp` of party 0 with `scp` command.
 
-#### (3). Modify uci_housing_demo.py
+#### (3). Modify uci_demo.py
 
-Each computation party makes the following modifications on `uci_housing_demo.py` according to the environment of machine.
+Each computation party makes the following modifications on `uci_demo.py` according to the environment of machine.
 
 * Modify IP Information
 
@@ -107,7 +107,7 @@ $REDIS_BIN -h $SERVER -p $PORT flushall
 Launch demo on each computation party with the following command,
 
 ```
-$PYTHON_EXECUTABLE uci_housing_demo.py $PARTY_ID $SERVER $PORT
+$PYTHON_EXECUTABLE uci_demo.py $PARTY_ID $SERVER $PORT
 ```
 
 where PYTHON_EXECUTABLE is the python which installs PaddleFL, PARTY_ID is the ID of computation party, which is 0, 1, or 2, SERVER and PORT represent the IP and port of Redis server respectively.

python/paddle_fl/mpc/examples/uci_demo/README_CN.md

@@ -31,7 +31,7 @@ export REDIS_PORT=/your/redis/port
 然后使用`run_standalone.sh`脚本，启动并运行demo，命令如下：
 
 ```bash 
-bash run_standalone.sh uci_housing_demo.py
+bash run_standalone.sh uci_demo.py
 ```
 
 运行之后将在屏幕上打印训练过程中的密文loss数据，同时，对应的密文loss数据将会保存到/tmp目录下的文件中，文件命名格式类似于步骤1中所述。
@@ -85,9 +85,9 @@ fi
 
 `house_feature.part0`和`house_label.part0`发送到party0的/tmp目录下。
 
-#### 3. 计算party修改uci_housing_demo.py脚本
+#### 3. 计算party修改uci_demo.py脚本
 
-各计算party根据自己的机器环境，对uci_housing_demo.py做如下改动：
+各计算party根据自己的机器环境，对uci_demo.py做如下改动：
 
 * 修改IP信息
 
@@ -109,7 +109,7 @@ $REDIS_BIN -h $SERVER -p $PORT flushall
 在各计算party分别执行以下命令，启动demo：
 
 ```
-$PYTHON_EXECUTABLE uci_housing_demo.py $PARTY_ID $SERVER $PORT
+$PYTHON_EXECUTABLE uci_demo.py $PARTY_ID $SERVER $PORT
 ```
 
 其中，PYTHON_EXECUTABLE表示自己安装了PaddleFL的python，PARTY_ID表示计算party的编号，值为0、1或2，SERVER和PORT分别表示redis server的IP地址和端口号。

python/paddle_fl/mpc/tests/unittests/run_test_example.sh

 #!/bin/bash
 
 # set redis server ip and port for test
-export TEST_REDIS_IP="test_redis_server_ip"
-export TEST_REDIS_PORT="test_redis_port"
+export TEST_REDIS_IP=${LOCALHOST}
+export TEST_REDIS_PORT=${REDIS_PORT}
 
 # unittest command
 PYTHON_TEST="python -m unittest"