Runtime Environment FAQ (Frequently Asked Questions)

How can I save my installed dependencies to avoid reinstalling them after each restart?

There are two ways to save your dependencies:

1. Use the pip install --user xxx command to install dependencies in the default conda environment. Dependencies installed this way will be saved in the user directory and will not be lost after restart.
2. Create a custom conda environment and place it in the user directory (/openbayes/home). For more information, see Dependency Management with Conda.

However, dependencies installed via apt cannot be saved and need to be reinstalled at startup.

Can I use custom runtime (images)?

Platform users currently cannot directly use custom images, but can use custom frameworks within the corresponding images.

We have added pre-built images for common versions of TensorFlow, PyTorch, MXNet, and Darknet that are ready to use. For more information about images, visit Runtime Environment (Images) Overview.

Our Private Deployment service can provide customized image services for enterprises.

Is Caffe2 support provided?

According to Caffe2's official announcement, Caffe2 has been merged into PyTorch, so we no longer provide support for the Caffe2 framework. The HyperAI platform currently supports the PyTorch framework.