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Export an Amazon SageMaker Studio Lab environment to Amazon SageMaker Studio Classic

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Export an Amazon SageMaker Studio Lab environment to Amazon SageMaker Studio Classic - Amazon SageMaker AI
Step 1: Export your Studio Lab conda environmentStep 2: Save your Studio Lab artifactsStep 3: Import your Studio Lab artifacts to Studio ClassicStep 4: Install your Studio Lab conda environments in Studio Classic

Amazon SageMaker Studio Classic offers many features for machine learning and deep learning work flows that are unavailable in Amazon SageMaker Studio Lab. This page shows how to migrate a Studio Lab environment to Studio Classic to take advantage of more compute capacity, storage, and features. However, you may want to familiarize yourself with Studio Classic's prebuilt containers, which are optimized for the full MLOP pipeline. For more information, see Amazon SageMaker Studio Lab

To migrate your Studio Lab environment to Studio Classic, you must first onboard to Studio Classic following the steps in Amazon SageMaker AI domain overview.

Step 1: Export your Studio Lab conda environment

You can export a conda environment and add libraries or packages to the environment by following the steps in Manage your environment. The following example demonstrates using the default environment to be exported to Studio Classic.

  1. Open the Studio Lab terminal by opening the File Browser panel ( Black square icon representing a placeholder or empty image. ), choose the plus (+) sign on the menu at the top of the file browser to open the Launcher, then choose Terminal. From the Studio Lab terminal, list the conda environments by running the following.

    conda env list

    This command outputs a list of the conda environments and their locations in the file system. When you onboard to Studio Lab, you automatically activate the studiolab  conda environment.

    # conda environments: #
           default                  /home/studio-lab-user/.conda/envs/default
           studiolab             *  /home/studio-lab-user/.conda/envs/studiolab
           studiolab-safemode       /opt/amazon/sagemaker/safemode-home/.conda/envs/studiolab-safemode
           base                     /opt/conda

    We recommend that you do not export the studiolab, studiolab-safemode, and base environments. These environments are not usable in Studio Classic for the following reasons:

    • studiolab: This sets up the JupyterLab environment for Studio Lab. Studio Lab runs a different major version of JupyterLab than Studio Classic, so it is not usable in Studio Classic.

    • studiolab-safemode: This also sets up the JupyterLab environment for Studio Lab. Studio Lab runs a different major version of JupyterLab than Studio Classic, so it is not usable in Studio Classic.

    • base: This environment comes with conda by default. The base environment in Studio Lab and the base environment in Studio Classic have incompatible versions of many packages.

  2. For the conda environment that you want to migrate to Studio Classic, first activate the conda environment. The default environment is then changed when new libraries are installed or removed from it. To get the exact state of the environment, export it into a YAML file using the command line. The following command lines export the default environment into a YAML file, creating a file called myenv.yml.

    conda activate default
conda env export > ~/myenv.yml

Step 2: Save your Studio Lab artifacts

Now that you have saved your environment to a YAML file, you can move the environment file to any platform.

Save to a local machine using Studio Lab GUI
Note

Downloading a directory from the Studio Lab GUI by right-clicking on the directory is currently unavailable. If you wish to export a directory, please follow the steps using the Save to Git repository tab.

One option is to save the environment onto your local machine. To do this, use the following procedure.

  1. In Studio Lab, choose the File Browser icon ( Black square icon representing a placeholder or empty image. ) on the left menu, so that the File Browser panel shows on the left.

  2. Navigate to your user directory by choosing the file icon beneath the file search bar.

  3. Choose (right-click) the myenv.yml file and then choose Download. You can repeat this process for other files you want to import to Studio Classic.

Save to a Git repository

Another option is to save your environment to a Git repository. This option uses GitHub as an example. These steps require a GitHub account and repository. For more information, visit GitHub. The following procedure shows how to synchronize your content with GitHub using the Studio Lab terminal.

  1. From the Studio Lab terminal, navigate to your user directory and make a new directory to contain the files you want to export. 

    cd ~
mkdir <NEW_DIRECTORY_NAME>

  2. After you create a new directory, copy any file or directory you want to export to <NEW_DIRECTORY_NAME>.

    Copy a file using the following code format:

    cp <FILE_NAME> <NEW_DIRECTORY_NAME>

    For example, replace <FILE_NAME> with myenv.yml.

    Copy any directory using the following code format:

    cp -r <DIRECTORY_NAME> <NEW_DIRECTORY_NAME>

    For example, replace <DIRECTORY_NAME> with any directory name in your user directory.

  3. Navigate to the new directory and initialize the directory as a Git repository using the following command. For more information, see the git-init documentation. 

    cd <NEW_DIRECTORY_NAME>
git init

  4. Using Git, add all relevant files and then commit your changes. 

    git add .
git commit -m "<COMMIT_MESSAGE>"

    For example, replace <COMMIT_MESSAGE> with Add Amazon SageMaker Studio Lab artifacts to GitHub repository to migrate to Amazon SageMaker Studio Classic .

  5. Push the commit to your remote repository. This repository has the format https://github.com/<GITHUB_USERNAME>/ <REPOSITORY_NAME>.git where <GITHUB_USERNAME> is your GitHub user name and the <REPOSITORY_NAME> is your remote repository name. Create a branch <BRANCH_NAME> to push the content to the GitHub repository.

    git branch -M <BRANCH_NAME>
git remote add origin https://github.com/<GITHUB_USERNAME>/<REPOSITORY_NAME>.git
git push -u origin <BRANCH_NAME>
anchoranchor
Note

Downloading a directory from the Studio Lab GUI by right-clicking on the directory is currently unavailable. If you wish to export a directory, please follow the steps using the Save to Git repository tab.

One option is to save the environment onto your local machine. To do this, use the following procedure.

  1. In Studio Lab, choose the File Browser icon ( Black square icon representing a placeholder or empty image. ) on the left menu, so that the File Browser panel shows on the left.

  2. Navigate to your user directory by choosing the file icon beneath the file search bar.

  3. Choose (right-click) the myenv.yml file and then choose Download. You can repeat this process for other files you want to import to Studio Classic.

Step 3: Import your Studio Lab artifacts to Studio Classic

The following procedure shows how to import artifacts to Studio Classic. The instructions on using Feature Store through the console depends on if you have enabled Studio or Studio Classic as your default experience. For information on accessing Studio Classic through the console, see Launch Studio Classic if Studio is your default experience.

From Studio Classic, you can import files from your local machine or from a Git repository. You can do this using the Studio Classic GUI or terminal. The following procedure uses the examples from Step 2: Save your Studio Lab artifacts.

Import using the Studio Classic GUI

If you saved the files to your local machine, you can import the files to Studio Classic using the following steps.

  1. Open the File Browser panel ( Black square icon representing a placeholder or empty image. ) at the top left of Studio Classic.

  2. Choose the Upload Files icon ( Black square icon representing a placeholder or empty image. ) on the menu at the top of the File Browser panel.

  3. Navigate to the file that you want to import, then choose Open.

Note

To import a directory into Studio Classic, first compress the directory on your local machine to a file. On a Mac, right-click the directory and choose Compress "<DIRECTORY_NAME>". In Windows, right-click the directory and choose Send to, and then choose Compressed (zipped) folder. After the directory is compressed, import the compressed file using the preceding steps. Unzip the compressed file by navigating to the Studio Classic terminal and running the command <DIRECTORY_NAME>.zip.

Import using a Git repository

This example provides two options for how to clone a GitHub repository into Studio Classic. You can use the Studio Classic GUI by choosing the Git ( Black square icon representing a placeholder or empty image. ) tab on the left side of Studio Classic. Choose Clone a Repository, then paste your GitHub repository URL from Step 2: Save your Studio Lab artifacts. Another option is to use the Studio Classic terminal by using the following procedure.

  1. Open the Studio Classic Launcher. For more information on opening the Launcher, see Amazon SageMaker Studio Classic Launcher.

  2. In the Launcher, in the Notebooks and compute resources section, choose Change environment.

  3. In Studio Classic, open the Launcher. To open the Launcher, choose Amazon SageMaker Studio Classic at the top-left corner of Studio Classic.

    To learn about all the available ways to open the Launcher, see Use the Amazon SageMaker Studio Classic Launcher.

  4. In the Change environment dialog, use the Image dropdown list to select the Data Science image and choose Select. This image comes with conda pre-installed.

  5. In the Studio Classic Launcher, choose Open image terminal.

  6. From the image terminal, run the following command to clone your repository. This command creates a directory named after <REPOSITORY_NAME> in your Studio Classic instance and clones your artifacts in that repository.

    git clone https://github.com/<GITHUB_USERNAME>/<REPOSITORY_NAME>.git
anchoranchor

If you saved the files to your local machine, you can import the files to Studio Classic using the following steps.

  1. Open the File Browser panel ( Black square icon representing a placeholder or empty image. ) at the top left of Studio Classic.

  2. Choose the Upload Files icon ( Black square icon representing a placeholder or empty image. ) on the menu at the top of the File Browser panel.

  3. Navigate to the file that you want to import, then choose Open.

Note

To import a directory into Studio Classic, first compress the directory on your local machine to a file. On a Mac, right-click the directory and choose Compress "<DIRECTORY_NAME>". In Windows, right-click the directory and choose Send to, and then choose Compressed (zipped) folder. After the directory is compressed, import the compressed file using the preceding steps. Unzip the compressed file by navigating to the Studio Classic terminal and running the command <DIRECTORY_NAME>.zip.

Step 4: Install your Studio Lab conda environments in Studio Classic

You can now recreate your conda environment by using your YAML file in your Studio Classic instance. Open the Studio Classic Launcher. For more information on opening the Launcher, see Amazon SageMaker Studio Classic Launcher. From the Launcher, choose Open image terminal. In the terminal navigate to the directory that contains the YAML file, then run the following commands. 

conda env create --file <ENVIRONMENT_NAME>.yml
conda activate <ENVIRONMENT_NAME>

After these commands are complete, you can select your environment as the kernel for your Studio Classic notebook instances. To view the available environment, run conda env list. To activate your environment, run conda activate <ENVIRONMENT_NAME>.

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Related resources

Amazon SageMaker AI API Reference
AWS CLI commands for Amazon SageMaker AI
SDKs & Tools 

Related resources

Amazon SageMaker AI API Reference
AWS CLI commands for Amazon SageMaker AI
SDKs & Tools 
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