handson-ml/docker/docker-compose.yml

version: "3"
services:
  handson-ml2:
    build:
      context: ../
      dockerfile: ./docker/Dockerfile #Dockerfile.gpu
      args:
        - username=devel
        - userid=1000
    container_name: handson-ml2
    image: handson-ml2
    restart: unless-stopped
    logging:
      driver: json-file
      options:
        max-size: 50m
    ports:
      - "8888:8888"
      - "6006:6006"
    volumes:
      - ../:/home/devel/handson-ml2
    command: /opt/conda/envs/tf2/bin/jupyter notebook --ip='0.0.0.0' --port=8888 --no-browser
    #deploy:
    #  resources:
    #    reservations:
    #      devices:
    #      - capabilities: [gpu]
Created docker script I created a docker script to install and run the project. 2017-11-21 20:24:43 +01:00			`version: "3"`
			`services:`
Update docker image for 2nd edition 2019-06-04 10:43:14 +02:00			`handson-ml2:`
Docker environment enhancements - rearranged a Dockerfile to allow for incremental build - switched running from root to "default new user" - added the (easy to opt-out) configuration to use blank password - added python-graphviz which enables DT visualization in notebooks - added nbdime for "sensible notebook comparison" - added custom command to "nbdiff" a notebook with its checkpointed version - added simple README.md 2017-11-27 17:16:51 +01:00			`build:`
Created docker script I created a docker script to install and run the project. 2017-11-21 20:24:43 +01:00			`context: ../`
Add Dockerfile.gpu for GPU support 2021-03-03 10:19:27 +01:00			`dockerfile: ./docker/Dockerfile #Dockerfile.gpu`
Docker environment enhancements - rearranged a Dockerfile to allow for incremental build - switched running from root to "default new user" - added the (easy to opt-out) configuration to use blank password - added python-graphviz which enables DT visualization in notebooks - added nbdime for "sensible notebook comparison" - added custom command to "nbdiff" a notebook with its checkpointed version - added simple README.md 2017-11-27 17:16:51 +01:00			`args:`
			`- username=devel`
Dockerfile argument to set container user UID The UID of created user should be set to the UID of the user that will be running the image/container to set appropriate permissions on files within notebooks directory. Default 1000 should be ok for users using the default account created while installing linux. 2017-11-28 10:33:20 +01:00			`- userid=1000`
Update docker image for 2nd edition 2019-06-04 10:43:14 +02:00			`container_name: handson-ml2`
			`image: handson-ml2`
			`restart: unless-stopped`
Created docker script I created a docker script to install and run the project. 2017-11-21 20:24:43 +01:00			`logging:`
			`driver: json-file`
			`options:`
			`max-size: 50m`
			`ports:`
			`- "8888:8888"`
tensorflow version unpined, tensorboard support, home variable fix 2017-12-04 11:33:16 +01:00			`- "6006:6006"`
Created docker script I created a docker script to install and run the project. 2017-11-21 20:24:43 +01:00			`volumes:`
Update docker image for 2nd edition 2019-06-04 10:43:14 +02:00			`- ../:/home/devel/handson-ml2`
Update Dockerfile and docker-compose.yml, fixes #52, fixes #53, fixes #55 2019-11-05 09:27:33 +01:00			`command: /opt/conda/envs/tf2/bin/jupyter notebook --ip='0.0.0.0' --port=8888 --no-browser`
Add Dockerfile.gpu for GPU support 2021-03-03 10:19:27 +01:00			`#deploy:`
			`# resources:`
			`# reservations:`
			`# devices:`
			`# - capabilities: [gpu]`