Updating python3 version on dvcorg/cml-py3:runner

I have some projects that require python 3.8 and I tried two options below:

1. install python3.8 inside your dvcorg/cml-py3:runner image, although I’m being unable to mount volumes on the image. I don’t know how to explore the reason behind this. I’m basically running docker run --rm -v scripts:/opt dvcorg/cml-py3:runner ./opt/test.sh although my answer is ..."exec: \"./opt/test.sh\": stat ./opt/test.sh: no such file or directory": unknown.. And the content of opt/test.sh is apt update && sudo apt install python3.8. Note: here I was not capable of finding which operating system the docker is using. Can I help to document and maintaining your docker images? Where is the repository generating them?

2. run a container of my own that runs my training, like this at github actions:

train-test:
    name: Train and report
    needs: [python-test]
    runs-on: [ubuntu-latest]
    container: docker://dvcorg/cml-py3:runner

    steps:
      - uses: actions/checkout@v2

      - name: Configure AWS Credentials
        uses: aws-actions/configure-aws-credentials@v1
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: us-east-1

      - name: Create virtualenv
        shell: bash
        run: |
          pip install --no-cache-dir pipenv==2020.8.13
          pipenv install --dev

      - name: cml_run
        shell: bash
        env:
          repo_token: ${{ secrets.GITHUB_TOKEN }}
        run: |
          # run-cache and reproduce pipeline
          dvc pull ml/input/data/training/creditcard.csv.dvc
          dvc repro

Note: I had to upgrade DVC version as the original docker version was below 1.0 and requiring Dvcfile.

Continuing with my explanation: dvc repro in the code above calls a docker command like this docker run --rm -u ${CURRENT_UID}:${CURRENT_UID} -v ${PWD}/ml:/opt/m ${DOCKER_IMAGE_NAME} train --project_name ${project-name} --input_dir /opt/${DATA_FILE} from a Makefile… The problem here is the volume mounting. On the logs, it shows that it built the volume, although the container code can’t find the files that are supposed to be in that volume.

If it helps I have an open example here: https://github.com/ricoms/credit-fraud-dealing-with-imbalanced-datasets-mlops

[0x2b3bfa0]

@ricoms & @diegobit, we’ve released new image tags with updated package versions: docker://dvcorg/cml:0-dvc2-base1-gpu includes Ubuntu 20.04, Python 3.8, CUDA 11.0.3 and CuDNN 8. 🎉

[DavidGOrtega]

👋 @ricoms

please replace

container: docker://dvcorg/cml-py3:runner

with

container: docker://dvcorg/cml-py3:latest

Actually not sure what is that runner tag 🤔 Might be a stale version. Did you find it in a tutorial?

Can I help to document and maintaining your docker images?

Absolutely!

Where is the repository generating them?

This one! the Dockerfiles are in the docker folder and Github actions inside .github/workflows are building the images.