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[ADD] Docker publish workflow (#357)
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* Add workflow for publishing docker image to github packages and dockerhub

* add docker installation to docs

* add workflow dispatch
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ravinkohli committed Dec 21, 2021
1 parent 57a490a commit 00e2b96
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80 changes: 80 additions & 0 deletions .github/workflows/docker-publish.yml
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# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.

name: Publish Docker image

on:
push:
# Push to `master` or `development`
branches:
- master
- development
- add_docker-publish
workflow_dispatch:

jobs:
push_to_registries:
name: Push Docker image to multiple registries
runs-on: ubuntu-latest
permissions:
packages: write
contents: read
steps:
- name: Check out the repo
uses: actions/checkout@v2

- name: Extract branch name
shell: bash
run: echo "##[set-output name=branch;]$(echo ${GITHUB_REF#refs/heads/})"
id: extract_branch

- name: Log in to Docker Hub
uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}

- name: Log in to the Container registry
uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}

- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38
with:
images: |
automlorg/autopytorch
ghcr.io/${{ github.repository }}
- name: Build and push Docker images
uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc
with:
context: .
push: true
tags: ${{ steps.extract_branch.outputs.branch }}

- name: Docker Login
run: docker login ghcr.io -u $GITHUB_ACTOR -p $GITHUB_TOKEN
env:
GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}

- name: Pull Docker image
run: docker pull ghcr.io/$GITHUB_REPOSITORY/autoPyTorch:$BRANCH
env:
BRANCH: ${{ steps.extract_branch.outputs.branch }}

- name: Run image
run: docker run -i -d --name unittester -v $GITHUB_WORKSPACE:/workspace -w /workspace ghcr.io/$GITHUB_REPOSITORY/autoPyTorch:$BRANCH
env:
BRANCH: ${{ steps.extract_branch.outputs.branch }}

- name: Auto-PyTorch loaded
run: docker exec -i unittester python3 -c 'import autoPyTorch; print(f"Auto-PyTorch imported from {autoPyTorch.__file__}")'

- name: Run unit testing
run: docker exec -i unittester python3 -m pytest -v test
30 changes: 28 additions & 2 deletions docs/installation.rst
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Expand Up @@ -37,5 +37,31 @@ Installing Auto-Pytorch
Docker Image
=========================
TODO
============
A Docker image is also provided on dockerhub. To download from dockerhub,
use:

.. code:: bash
docker pull automlorg/autopytorch:master
You can also verify that the image was downloaded via:

.. code:: bash
docker images # Verify that the image was downloaded
This image can be used to start an interactive session as follows:

.. code:: bash
docker run -it automlorg/autopytorch:master
To start a Jupyter notebook, you could instead run e.g.:

.. code:: bash
docker run -it -v ${PWD}:/opt/nb -p 8888:8888 automlorg/autopytorch:master /bin/bash -c "mkdir -p /opt/nb && jupyter notebook --notebook-dir=/opt/nb --ip='0.0.0.0' --port=8888 --no-browser --allow-root"
Alternatively, it is possible to use the development version of autoPyTorch by replacing all
occurences of ``master`` by ``development``.

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