x-defaults: &defaults
  restart: unless-stopped
  logging:
    driver: json-file
    options:
      max-size: 100m
      max-file: '3'

services:
  pytorch:
    <<: *defaults
    image: ${GLOBAL_REGISTRY:-}pytorch/pytorch:${PYTORCH_VERSION:-2.6.0-cuda12.6-cudnn9-runtime}
    ports:
      - '${JUPYTER_PORT_OVERRIDE:-8888}:8888'
      - '${TENSORBOARD_PORT_OVERRIDE:-6006}:6006'
    environment:
      TZ: ${TZ:-UTC}
      NVIDIA_VISIBLE_DEVICES: ${NVIDIA_VISIBLE_DEVICES:-all}
      NVIDIA_DRIVER_CAPABILITIES: ${NVIDIA_DRIVER_CAPABILITIES:-compute,utility}
      JUPYTER_ENABLE_LAB: ${JUPYTER_ENABLE_LAB:-yes}
    command: >
      bash -c "pip install --no-cache-dir jupyter tensorboard &&
               jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root
               --NotebookApp.token='${JUPYTER_TOKEN:-pytorch}'"
    volumes:
      - pytorch_notebooks:/workspace
      - pytorch_data:/data
    working_dir: /workspace
    deploy:
      resources:
        limits:
          cpus: ${PYTORCH_CPU_LIMIT:-4.0}
          memory: ${PYTORCH_MEMORY_LIMIT:-16G}
        reservations:
          cpus: ${PYTORCH_CPU_RESERVATION:-0.1}
          memory: ${PYTORCH_MEMORY_RESERVATION:-8G}
          devices:
            - driver: nvidia
              count: ${GPU_COUNT:-1}
              capabilities: [gpu]
    healthcheck:
      test: [CMD, wget, --no-verbose, --tries=1, --spider, 'http://localhost:8888/']
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s

volumes:
  pytorch_notebooks:
  pytorch_data:
