Lidar_Muxa/docker-compose.yml

services:
  # ==========================================================================
  # CPU СЕРВИСЫ (Стандартный запуск без GPU / Standalone)
  # ==========================================================================
  test:
    build:
      context: .
      dockerfile: Dockerfile
    image: flyguard:latest
    container_name: flyguard-test
    command: ["test"]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
    shm_size: '2gb'

  evaluate:
    image: flyguard:latest
    container_name: flyguard-evaluate
    command: ["evaluate", "--mbon-dir", "artifacts/mbon_folds"]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
    shm_size: '2gb'

  benchmark:
    image: flyguard:latest
    container_name: flyguard-benchmark
    command: [
      "benchmark",
      "--memory", "artifacts/mushroom_body.npz",
      "--mbon-dir", "artifacts/mbon_folds",
      "--augment",
      "--out", "artifacts/benchmark.json"
    ]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
    shm_size: '2gb'

  pipeline:
    image: flyguard:latest
    container_name: flyguard-pipeline
    command: ["pipeline", "--all", "--memory", "artifacts/mushroom_body.npz"]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
    shm_size: '2gb'

  shell:
    image: flyguard:latest
    container_name: flyguard-shell
    command: ["bash"]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
    stdin_open: true
    tty: true
    shm_size: '2gb'

  # ==========================================================================
  # NVIDIA GPU СЕРВИСЫ (NVIDIA GeForce RTX 4070 Ti Super 16GB / CUDA 12.x)
  # Использование: docker compose run --rm <имя-сервиса>
  # ==========================================================================
  gpu-test:
    build:
      context: .
      dockerfile: Dockerfile.gpu
    image: flyguard:gpu
    container_name: flyguard-gpu-test
    command: ["test"]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    shm_size: '8gb'

  gpu-benchmark:
    image: flyguard:gpu
    container_name: flyguard-gpu-benchmark
    command: [
      "benchmark",
      "--memory", "artifacts/mushroom_body.npz",
      "--mbon-dir", "artifacts/mbon_folds",
      "--augment",
      "--device", "cuda",
      "--out", "artifacts/benchmark_gpu.json"
    ]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    shm_size: '8gb'

  gpu-evaluate:
    image: flyguard:gpu
    container_name: flyguard-gpu-evaluate
    command: ["evaluate", "--mbon-dir", "artifacts/mbon_folds", "--device", "cuda"]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    shm_size: '8gb'

  train-mbon-gpu:
    image: flyguard:gpu
    container_name: flyguard-train-mbon-gpu
    command: [
      "train-mbon",
      "--device", "cuda",
      "--n-kc", "50000",
      "--active", "100",
      "--epochs", "100",
      "--save-folds", "artifacts/mbon_folds_50k",
      "--out", "artifacts/mbon_readout_50k.npz"
    ]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    shm_size: '8gb'

  train-track-gpu:
    image: flyguard:gpu
    container_name: flyguard-train-track-gpu
    command: [
      "train-track",
      "--device", "cuda",
      "--epochs", "300",
      "--baseline",
      "--save-folds", "artifacts/track_folds",
      "--out", "artifacts/track_readout.npz"
    ]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    shm_size: '8gb'

  gpu-pipeline:
    image: flyguard:gpu
    container_name: flyguard-gpu-pipeline
    command: [
      "pipeline",
      "--all",
      "--memory", "artifacts/mushroom_body.npz",
      "--readout", "artifacts/mbon_readout.npz",
      "--device", "cuda",
      "--verbose"
    ]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data:ro
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    shm_size: '8gb'

  gpu-shell:
    image: flyguard:gpu
    container_name: flyguard-gpu-shell
    command: ["bash"]
    volumes:
      - ./artifacts:/app/artifacts
      - ./data:/data
    environment:
      - PYTHONUNBUFFERED=1
      - FLYGUARD_DATA=/data
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    stdin_open: true
    tty: true
    shm_size: '8gb'