Merge pull request #67 from qjing666/v0.2.0

update submitter demo

README.md

@@ -38,7 +38,7 @@ In PaddleFL, components for defining a federated learning task and training a fe
 
 #### Compile Time
 
-- **FL-Strategy**: a user can define federated learning strategies with FL-Strategy such as Fed-Avg[1]
+- **FL-Strategy**: a user can define federated learning strategies with FL-Strategy such as Fed-Avg[2]
 
 - **User-Defined-Program**: PaddlePaddle's program that defines the machine learning model structure and training strategies such as multi-task learning.
 

README_cn.md

@@ -35,7 +35,7 @@ PaddleFL是一个基于PaddlePaddle的开源联邦学习框架。研究人员可
 
 #### 编译时
 
-- **FL-Strategy**: 用户可以使用FL-Strategy定义联邦学习策略，例如Fed-Avg[1]。
+- **FL-Strategy**: 用户可以使用FL-Strategy定义联邦学习策略，例如Fed-Avg[2]。
 
 - **User-Defined-Program**: PaddlePaddle的程序定义了机器学习模型结构和训练策略，如多任务学习。
 

paddle_fl/examples/submitter_demo/conf.txt → paddle_fl/examples/submitter_demo/config.txt

 # commonly configured
-task_name=test_fl_job_submit_jingqinghe
-hdfs_output=/user/feed/mlarch/sequence_generator/dongdaxiang/job_44
+task_name=test_name
+hdfs_output=/path/to/your/output/file
 train_cmd=python dist_trainer.py
 #monitor_cmd=python system_monitor_app.py 10 100
 monitor_cmd=
 #train_cmd=python test_hadoop.py
 
-hdfs_path=afs://xingtian.afs.baidu.com:9902
+hdfs_path=/site/of/hdfs
 ugi=your_fs_name, your_ugi
-hdfs_output=/user/feed/mlarch/sequence_generator/dongdaxiang/job_44
 worker_nodes=2
 server_nodes=1
-hadoop_home=/home/jingqinghe/hadoop-xingtian/hadoop
-hpc_home=/home/jingqinghe/mpi_feed4/smart_client
+hadoop_home=/local/path/to/your/hadoop
+hpc_home=/local/path/to/your/hpc
 package_path=./package
 priority=high
 #queue name
-queue=paddle-dev-amd
-server=yq01-hpc-lvliang01-smart-master.dmop.baidu.com
+queue=queue_name
+server=/site/of/mpi/server
 
-python_tar=./python.tar.gz
-wheel=./paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl
+python_tar=/path/to/your/executable/python
+wheel=/path/to/paddle/installation/package

paddle_fl/examples/submitter_demo/run.sh

 tar -xf python.tar.gz
-python/bin/python scheduler_client.py conf.txt 
+python/bin/python scheduler_client.py config.txt