AutoML_Capstone/docker-compose.yml at main · Capstone-AutoML/AutoML_Capstone · GitHub

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services:
  capstone:
    image: celt313/automl_capstone:v0.0.3
    ipc: host
    container_name: automl_capstone
    working_dir: /app
    entrypoint: bash
    command: -c "source activate capstone_env && ./fetch_dataset.sh && python src/main.py"
    volumes:
      - .:/app
    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

  generate_box:
    image: celt313/automl_capstone:v0.0.3
    profiles: ["optional"]
    entrypoint: bash
    command: -c "source activate capstone_env && python src/generate_boxed_images.py"
    volumes:
      - .:/app

  auto_labeling:
    image: celt313/automl_capstone:v0.0.3
    ipc: host
    profiles: ["optional"]
    entrypoint: bash
    command: -c "source activate capstone_env && ./fetch_dataset.sh && python src/label_main.py"
    volumes:
      - .:/app
    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

  train_compress:
    image: celt313/automl_capstone:v0.0.3
    ipc: host
    profiles: ["optional"]
    entrypoint: bash
    command: -c "source activate capstone_env && python src/train_compress_main.py"
    volumes:
      - .:/app
    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

  test:
    image: celt313/automl_capstone:v0.0.3
    profiles: ["optional"]
    entrypoint: bash
    command: -c "source activate capstone_env && pytest tests/"
    volumes:
      - .:/app