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Submarine on K8s

Submarine for K8s supports distributed TensorFlow and PyTorch.

Submarine can run on K8s >= 1.14, supports features like GPU isolation.

We have validated Submarine on the following versions:

[FIXME]: is it accurate?

K8s Version Support?
1.13.x (or earlier) X
1.14.x √
1.15.x √
1.16.x √
1.17.x To be verified
1.17.x To be verified

Install Submarine

Setup Kubernetes

Submarine can be deployed on any K8s environment if version matches. If you don't have a running K8s, you can set up a K8s using Docker Desktop, MiniKube, or kind, Kubernetes-in-Docker.

From our experiences, Docker Desktop is an easier choice.

Install Submarine Use Helm Charts

After you have an up-and-running K8s, you can follow Submarine Helm Charts Guide to deploy Submarine services on K8s cluster in minutes.

Model Training (Experiment) on K8s

Model Training With Submarine Python SDK

Submarine Python SDK can runs on any machine and it will talk to Submarine Server via REST API. So you can install Submarine Python SDK on your laptop, a gateway machine, your favorite IDE (like PyCharm/Jupyter, etc.).

Prepare Python Environment to run Submarine SDK

First of all

Submarine SDK requires Python3.7+. It's better to use a new Python environment created by Anoconda or Python virtualenv to try this to avoid trouble to existing Python environment. A sample Python virtual env can be setup like this:

wget https://files.pythonhosted.org/packages/33/bc/fa0b5347139cd9564f0d44ebd2b147ac97c36b2403943dbee8a25fd74012/virtualenv-16.0.0.tar.gz
tar xf virtualenv-16.0.0.tar.gz

# Make sure to install using Python 3
python3 virtualenv-16.0.0/virtualenv.py venv
. venv/bin/activate

Install Submarine SDK

Install SDK from pypi.org (recommended)

Starting from 0.4.0, Submarine provides Python SDK. Please change it to a proper version needed.

pip install submarine-sdk==0.4.0

Install SDK from source code

Please first clone code from github or go to http://submarine.apache.org/download.html to download released source code.

git clone https://github.com/apache/submarine.git
git checkout <correct release tag/branch>
cd submarine/submarine-sdk/pysubmarine
pip install .

Run with Submarine Python SDK

Assuming you've installed submarine on K8s and forward the service to localhost, now you can open a Python shell, Jupyter notebook or any tools with Submarine SDK installed.

Follow SDK experiment example to try the SDK.

Model Training With Submarine REST API

Alternatively, we support use REST API to submit, list, delete experiments (model training)