ConsistentlyInconsistentYT--Pixeltovoxelprojector/docker/docker-compose.yml

version: '3.8'

# ============================================================================
# Pixel to Voxel Projector - Docker Compose Configuration
# ============================================================================

services:
  # Main application service
  pixeltovoxel:
    build:
      context: ..
      dockerfile: docker/Dockerfile
      args:
        - CUDA_VERSION=12.2.0
    image: pixeltovoxel:latest
    container_name: pixeltovoxel_app

    # GPU configuration
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu, compute, utility, video]

    # Runtime configuration
    runtime: nvidia

    # Environment variables
    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
      - DISPLAY=${DISPLAY:-:0}
      - PYTHONUNBUFFERED=1
      - OMP_NUM_THREADS=8
      - CUDA_VISIBLE_DEVICES=0

    # Volumes
    volumes:
      # Mount source code for development
      - ../:/app
      # Data directory
      - ${DATA_DIR:-./data}:/data
      # Output directory
      - ${OUTPUT_DIR:-./output}:/output
      # Logs directory
      - ${LOGS_DIR:-./logs}:/logs
      # X11 socket for GUI applications
      - /tmp/.X11-unix:/tmp/.X11-unix:rw
      # Shared memory for high-speed data transfer
      - /dev/shm:/dev/shm

    # Network configuration
    network_mode: host

    # Ports (if not using host network)
    # ports:
    #   - "8888:8888"  # Jupyter
    #   - "5555:5555"  # ZMQ publisher
    #   - "5556:5556"  # ZMQ subscriber
    #   - "6006:6006"  # TensorBoard

    # Privileges for GPU and hardware access
    privileged: true

    # Devices
    devices:
      - /dev/video0:/dev/video0  # Camera access (adjust as needed)

    # Shared memory size (important for PyTorch DataLoader)
    shm_size: '8gb'

    # Keep container running
    stdin_open: true
    tty: true

    # Command
    command: /bin/bash

  # Jupyter service for interactive development
  jupyter:
    build:
      context: ..
      dockerfile: docker/Dockerfile
    image: pixeltovoxel:latest
    container_name: pixeltovoxel_jupyter

    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

    runtime: nvidia

    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
      - PYTHONUNBUFFERED=1

    volumes:
      - ../:/app
      - ${DATA_DIR:-./data}:/data
      - ${OUTPUT_DIR:-./output}:/output
      - ${LOGS_DIR:-./logs}:/logs

    ports:
      - "8888:8888"

    shm_size: '8gb'

    command: >
      jupyter lab
      --ip=0.0.0.0
      --port=8888
      --no-browser
      --allow-root
      --NotebookApp.token=''
      --NotebookApp.password=''

  # Benchmark service for performance testing
  benchmark:
    build:
      context: ..
      dockerfile: docker/Dockerfile
    image: pixeltovoxel:latest
    container_name: pixeltovoxel_benchmark

    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

    runtime: nvidia

    environment:
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
      - PYTHONUNBUFFERED=1

    volumes:
      - ../:/app
      - ${OUTPUT_DIR:-./output}:/output
      - ${LOGS_DIR:-./logs}:/logs

    shm_size: '8gb'

    command: python3 /app/tests/benchmarks/run_all_benchmarks.py

# ============================================================================
# Usage Instructions
# ============================================================================
#
# Start all services:
#   docker-compose -f docker/docker-compose.yml up -d
#
# Start specific service:
#   docker-compose -f docker/docker-compose.yml up pixeltovoxel
#
# Start with GPU selection:
#   CUDA_VISIBLE_DEVICES=0 docker-compose -f docker/docker-compose.yml up
#
# Start Jupyter only:
#   docker-compose -f docker/docker-compose.yml up jupyter
#
# Run benchmarks:
#   docker-compose -f docker/docker-compose.yml up benchmark
#
# Access running container:
#   docker-compose -f docker/docker-compose.yml exec pixeltovoxel bash
#
# View logs:
#   docker-compose -f docker/docker-compose.yml logs -f pixeltovoxel
#
# Stop all services:
#   docker-compose -f docker/docker-compose.yml down
#
# Rebuild and start:
#   docker-compose -f docker/docker-compose.yml up --build
#
# Set custom directories:
#   DATA_DIR=/path/to/data OUTPUT_DIR=/path/to/output \
#   docker-compose -f docker/docker-compose.yml up
#
# ============================================================================