Using workspace browser

Available in VPC

Source files of the workspace can be managed and edited in the workspace browser menu.

Upload files

The following describes how to upload files in the workspace browser menu.

1. From the NAVER Cloud Platform console, click the Services > Big Data & Analytics > Data Forest menus, in that order.
2. Click AI Forest > Workspace browser.
3. Click the account with the workspace that needs browsing.
4. Click the workspace from the workspace browser list.
   
5. Click the [Upload] button.
6. When the upload window appears, add files, and then click the [Start transfer] button.
   
7. Click the [OK] button when the upload is completed.

Manage files

The following describes how to manage files uploaded to a workplace.

1. From the NAVER Cloud Platform console, click the Services > Big Data & Analytics > Data Forest menus, in that order.
2. Click AI Forest > Workspace browser.
3. Select an account, and then click a workspace.
4. Select files to manage.
5. Click the button for the feature you want.
   
   • [Run]: Run the DL app with the selected files in the current workspace.
   • [Upload]: You can upload files to the folder.
   • [Add new folder/file]: You can add new files or folders to the current folder. Double-click the added file to go to the editor page.
   • [Edit]: You can change the name of the selected folder or file, or delete them.
   • [Folder path]: The path of the current folder or file is displayed at the upper right corner of the page. You can click the folder name to directly go to the parent folder.

Write execution script file

The following describes how to add an execution script to a workspace.

1. From the NAVER Cloud Platform console, click the Services > Big Data & Analytics > Data Forest menus, in that order.
2. Click AI Forest > Workspace browser.
3. Select an account, and then click a workspace.
4. Click [Add new folder/file] > [File].
5. Enter a new file name, and then click the [Save] button.
6. Double-click the file name from the file list. The file editor window will appear.
   
7. Write an execution script, and then click the [Save] button.
8. To change the file type, select the file extension at the upper right corner of the editor.
9. Click the [Run] button to run the DL app with the current workspace.
   • For more information about running workspaces, refer to Create and manage workspaces.

Precautions for writing execution scripts

You must create an execution script when configuring a file in a workspace. The execution script runs the user's code through the commands in Command when running a DL app. Generally, it's a shell script that contains a script which executes the user's program.

Example: run.sh which is the execution script for the MNIST example
When you write an execution script, make sure that it contains the shebang (the #!/bin/bash part from the example below). You can also write it in a Python or binary file and make it run with a command.

  #!/bin/bash
  #pip show tensorflow
  python fully_connected_feed.py --input_data_dir ./data_in --log_dir ./data_out --max_steps 20000