docker-compose for lambdalabs machine

docker-compose.yml

version: "3.4"
services:
  miniconda:
    image: "hfbook-miniconda3:latest"
    build:
      context: .
      dockerfile: Dockerfile
    volumes:
      - ./notebooks:/src/notebooks
    # https://gist.github.com/charlesfrye/e27adfc47129a4c209f6dfcb14467fba
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              device_ids: [ '0', '1' ]
              capabilities: [ gpu ]

Dockerfile

from continuumio/miniconda3:latest

RUN mkdir -p /src/notebooks

WORKDIR /src/notebooks

COPY notebooks/environment.yml notebooks/requirements.txt /src/notebooks/

RUN conda env create -f environment.yml

# from https://github.com/nlp-with-transformers/notebooks
COPY notebooks /src/notebooks

# https://pythonspeed.com/articles/activate-conda-dockerfile/
RUN ["conda" ,"run", "--no-capture-output", "-n", "book", "python", "-c", "import sys;print('hello from docker');print(sys.version_info)"]

# https://stackoverflow.com/a/42873832/5819113
ENTRYPOINT ["tail", "-f", "/dev/null"]

lsq.md

$ls -q Dockerfile docker-compose.yml notebooks