Remove outputDir and dataDir in config file

docs/en_US/TrainingService/PaiMode.md

@@ -32,8 +32,6 @@ trial:
   cpuNum: 1
   memoryMB: 8196
   image: msranni/nni:latest
-  dataDir: hdfs://10.1.1.1:9000/nni
-  outputDir: hdfs://10.1.1.1:9000/nni
 # Configuration to access OpenPAI Cluster
 paiConfig:
   userName: your_pai_nni_user
@@ -51,10 +49,6 @@ Compared with [LocalMode](LocalMode.md) and [RemoteMachineMode](RemoteMachineMod
 * image
     * Required key. In pai mode, your trial program will be scheduled by OpenPAI to run in [Docker container](https://www.docker.com/). This key is used to specify the Docker image used to create the container in which your trial will run.
     * We already build a docker image [nnimsra/nni](https://hub.docker.com/r/msranni/nni/) on [Docker Hub](https://hub.docker.com/). It contains NNI python packages, Node modules and javascript artifact files required to start experiment, and all of NNI dependencies. The docker file used to build this image can be found at [here](https://github.com/Microsoft/nni/tree/master/deployment/docker/Dockerfile). You can either use this image directly in your config file, or build your own image based on it.
-* dataDir
-    * Optional key. It specifies the HDFS data direcotry for trial to download data. The format should be something like hdfs://{your HDFS host}:9000/{your data directory}
-* outputDir
-    * Optional key. It specifies the HDFS output directory for trial. Once the trial is completed (either succeed or fail), trial's stdout, stderr will be copied to this directory by NNI sdk automatically. The format should be something like hdfs://{your HDFS host}:9000/{your output directory}
 * virtualCluster
     * Optional key. Set the virtualCluster of OpenPAI. If omitted, the job will run on default virtual cluster.
 * shmMB
@@ -80,9 +74,10 @@ And you will be redirected to HDFS web portal to browse the output files of that
 
 You can see there're three fils in output folder: stderr, stdout, and trial.log
 
-If you also want to save trial's other output into HDFS, like model files, you can use environment variable `NNI_OUTPUT_DIR` in your trial code to save your own output files, and NNI SDK will copy all the files in `NNI_OUTPUT_DIR` from trial's container to HDFS.
+## data management
+If your training data is not to large, the could be put into codeDir, and nni will upload the data to hdfs, or you could build your own docker image with the data. If you have large dataset, it's not appropriate to put the data in codeDir, and you could follow the [guidance](https://github.com/microsoft/pai/blob/master/docs/user/storage.md) to mount the data folder in container.
 
-Any problems when using NNI in pai mode, please create issues on [NNI github repo](https://github.com/Microsoft/nni).
+If you also want to save trial's other output into HDFS, like model files, you can use environment variable `NNI_OUTPUT_DIR` in your trial code to save your own output files, and NNI SDK will copy all the files in `NNI_OUTPUT_DIR` from trial's container to HDFS, the target path is `hdfs://host:port/{username}/nni/{experiments}/{experimentId}/trials/{trialId}/nnioutput`
 
 ## version check
 NNI support version check feature in since version 0.6. It is a policy to insure the version of NNIManager is consistent with trialKeeper, and avoid errors caused by version incompatibility.
@@ -92,4 +87,6 @@ Check policy:
 3. Note that the version check feature only check first two digits of version.For example, NNIManager v0.6.1 could use trialKeeper v0.6 or trialKeeper v0.6.2, but could not use trialKeeper v0.5.1 or trialKeeper v0.7.
 
 If you could not run your experiment and want to know if it is caused by version check, you could check your webUI, and there will be an error message about version check.
-![](../../img/version_check.png)
+![](../../img/version_check.png)
+
+Any problems when using NNI in pai mode, please create issues on [NNI github repo](https://github.com/Microsoft/nni).

docs/zh_CN/PaiMode.md

@@ -34,8 +34,6 @@ trial:
   cpuNum: 1
   memoryMB: 8196
   image: msranni/nni:latest
-  dataDir: hdfs://10.1.1.1:9000/nni
-  outputDir: hdfs://10.1.1.1:9000/nni
 # 配置访问的 OpenPAI 集群
 paiConfig:
   userName: your_pai_nni_user
@@ -54,10 +52,6 @@ paiConfig:
 * image 
     * 必填。 在 pai 模式中，Trial 程序由 OpenPAI 在 [Docker 容器](https://www.docker.com/)中安排运行。 此键用来指定 Trial 程序的容器使用的 Docker 映像。
     * [Docker Hub](https://hub.docker.com/) 上有预制的 NNI Docker 映像 [nnimsra/nni](https://hub.docker.com/r/msranni/nni/)。 它包含了用来启动 NNI Experiment 所依赖的所有 Python 包，Node 模块和 JavaScript。 生成此 Docker 映像的文件在[这里](https://github.com/Microsoft/nni/tree/master/deployment/docker/Dockerfile)。 可以直接使用此映像，或参考它来生成自己的映像。
-* dataDir 
-    * 可选。 指定了 Trial 用于下载数据的 HDFS 数据目录。 格式应为 hdfs://{your HDFS host}:9000/{数据目录}
-* outputDir 
-    * 可选。 指定了 Trial 的 HDFS 输出目录。 Trial 在完成（成功或失败）后，Trial 的 stdout， stderr 会被 NNI 自动复制到此目录中。 格式应为 hdfs://{your HDFS host}:9000/{输出目录}
 * virtualCluster 
     * 可选。 设置 OpenPAI 的 virtualCluster，即虚拟集群。 如果未设置此参数，将使用默认的虚拟集群。
 * shmMB 

examples/trials/auto-gbdt/config_pai.yml

@@ -23,10 +23,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/cifar10_pytorch/config_pai.yml

@@ -23,10 +23,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/ga_squad/config_pai.yml

@@ -23,10 +23,6 @@ trial:
   memoryMB: 32869
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/mnist-advisor/config_pai.yml

@@ -27,10 +27,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/mnist-annotation/config_pai.yml

@@ -22,10 +22,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/mnist-batch-tune-keras/config_pai.yml

@@ -20,10 +20,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/mnist-keras/config_pai.yml

@@ -23,10 +23,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/mnist/config_pai.yml

@@ -23,10 +23,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/network_morphism/FashionMNIST/config_pai.yml

@@ -30,10 +30,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/network_morphism/cifar10/config_pai.yml

@@ -30,10 +30,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/sklearn/classification/config_pai.yml

@@ -23,10 +23,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

examples/trials/sklearn/regression/config_pai.yml

@@ -23,10 +23,6 @@ trial:
   memoryMB: 8196
   #The docker image to run nni job on pai
   image: msranni/nni:latest
-  #The hdfs directory to store data on pai, format 'hdfs://host:port/directory'
-  dataDir: hdfs://10.10.10.10:9000/username/nni
-  #The hdfs directory to store output data generated by nni, format 'hdfs://host:port/directory'
-  outputDir: hdfs://10.10.10.10:9000/username/nni
 paiConfig:
   #The username to login pai
   userName: username

src/nni_manager/training_service/pai/paiConfig.ts

@@ -69,10 +69,6 @@ export class PAIJobConfig {
     public readonly jobName: string;
     // URL pointing to the Docker image for all tasks in the job
     public readonly image: string;
-    // Data directory existing on HDFS
-    public readonly dataDir: string;
-    // Output directory on HDFS
-    public readonly outputDir: string;
     // Code directory on HDFS
     public readonly codeDir: string;
 
@@ -90,12 +86,10 @@ export class PAIJobConfig {
      * @param outputDir Output directory on HDFS
      * @param taskRoles List of taskRole, one task role at least
      */
-    constructor(jobName: string, image : string, dataDir : string, outputDir : string, codeDir : string,
+    constructor(jobName: string, image : string, codeDir : string,
                 taskRoles : PAITaskRole[], virtualCluster: string) {
         this.jobName = jobName;
         this.image = image;
-        this.dataDir = dataDir;
-        this.outputDir = outputDir;
         this.codeDir = codeDir;
         this.taskRoles = taskRoles;
         this.virtualCluster = virtualCluster;
@@ -130,22 +124,18 @@ export class NNIPAITrialConfig extends TrialConfig {
     public readonly cpuNum: number;
     public readonly memoryMB: number;
     public readonly image: string;
-    public readonly dataDir: string;
-    public outputDir: string;
 
     //The virtual cluster job runs on. If omitted, the job will run on default virtual cluster
     public virtualCluster?: string;
     //Shared memory for one task in the task role
     public shmMB?: number;
 
     constructor(command : string, codeDir : string, gpuNum : number, cpuNum: number, memoryMB: number,
-                image: string, dataDir: string, outputDir: string, virtualCluster?: string, shmMB?: number) {
+                image: string, virtualCluster?: string, shmMB?: number) {
         super(command, codeDir, gpuNum);
         this.cpuNum = cpuNum;
         this.memoryMB = memoryMB;
         this.image = image;
-        this.dataDir = dataDir;
-        this.outputDir = outputDir;
         this.virtualCluster = virtualCluster;
         this.shmMB = shmMB;
     }

src/nni_manager/training_service/pai/paiData.ts

@@ -70,9 +70,6 @@ export const PAI_TRIAL_COMMAND_FORMAT: string =
 --pai_hdfs_output_dir '{9}' --pai_hdfs_host '{10}' --pai_user_name {11} --nni_hdfs_exp_dir '{12}' --webhdfs_path '/webhdfs/api/v1' \
 --nni_manager_version '{13}' --log_collection '{14}'`;
 
-export const PAI_OUTPUT_DIR_FORMAT: string =
-`hdfs://{0}:9000/`;
-
 // tslint:disable:no-http-string
 export const PAI_LOG_PATH_FORMAT: string =
 `http://{0}/webhdfs/explorer.html#{1}`;