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3.47 kB
| version: "3.9" | |
| services: | |
| # ============================================ | |
| # Web Interface (Gradio) | |
| # ============================================ | |
| app: | |
| build: | |
| context: . | |
| dockerfile: Dockerfile | |
| target: production | |
| image: ultrathink:latest | |
| container_name: ultrathink_app | |
| ports: | |
| - "7860:7860" # Gradio UI | |
| - "8000:8000" # FastAPI (if used) | |
| environment: | |
| - PYTHONUNBUFFERED=1 | |
| - GRADIO_SERVER_NAME=0.0.0.0 | |
| - GRADIO_SERVER_PORT=7860 | |
| volumes: | |
| - ./outputs:/app/outputs:rw | |
| - ./checkpoints:/app/checkpoints:rw | |
| command: ["python", "app_gradio.py"] | |
| restart: unless-stopped | |
| healthcheck: | |
| test: ["CMD", "curl", "-f", "http://localhost:7860"] | |
| interval: 30s | |
| timeout: 10s | |
| retries: 3 | |
| # ============================================ | |
| # Training Service (CPU) | |
| # ============================================ | |
| train: | |
| build: | |
| context: . | |
| dockerfile: Dockerfile | |
| target: training | |
| image: ultrathink:training | |
| container_name: ultrathink_train | |
| environment: | |
| - PYTHONUNBUFFERED=1 | |
| - TORCHDYNAMO_DISABLE=1 | |
| volumes: | |
| - ./outputs:/app/outputs:rw | |
| - ./checkpoints:/app/checkpoints:rw | |
| - ./configs:/app/configs:ro | |
| command: > | |
| python train_ultrathink.py | |
| --dataset wikitext | |
| --hidden_size 256 | |
| --num_layers 2 | |
| --num_heads 4 | |
| --batch_size 2 | |
| --num_epochs 1 | |
| --output_dir /app/outputs/demo | |
| profiles: ["train"] | |
| # ============================================ | |
| # Training Service (GPU) | |
| # ============================================ | |
| train-gpu: | |
| build: | |
| context: . | |
| dockerfile: Dockerfile | |
| target: training | |
| image: ultrathink:training | |
| container_name: ultrathink_train_gpu | |
| environment: | |
| - PYTHONUNBUFFERED=1 | |
| - PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True | |
| - CUDA_VISIBLE_DEVICES=0 | |
| volumes: | |
| - ./outputs:/app/outputs:rw | |
| - ./checkpoints:/app/checkpoints:rw | |
| - ./configs:/app/configs:ro | |
| command: > | |
| python train_advanced.py | |
| --config /app/configs/train_small.yaml | |
| deploy: | |
| resources: | |
| reservations: | |
| devices: | |
| - driver: nvidia | |
| count: all | |
| capabilities: [gpu] | |
| profiles: ["train-gpu"] | |
| # ============================================ | |
| # MLflow Tracking Server | |
| # ============================================ | |
| mlflow: | |
| image: ghcr.io/mlflow/mlflow:v2.9.2 | |
| container_name: ultrathink_mlflow | |
| ports: | |
| - "5000:5000" | |
| volumes: | |
| - ./mlruns:/mlflow/mlruns:rw | |
| command: > | |
| mlflow server | |
| --backend-store-uri file:///mlflow/mlruns | |
| --default-artifact-root /mlflow/mlruns | |
| --host 0.0.0.0 | |
| --port 5000 | |
| profiles: ["mlflow"] | |
| restart: unless-stopped | |
| # ============================================ | |
| # Development Environment | |
| # ============================================ | |
| dev: | |
| build: | |
| context: . | |
| dockerfile: Dockerfile | |
| target: development | |
| image: ultrathink:dev | |
| container_name: ultrathink_dev | |
| ports: | |
| - "7860:7860" | |
| - "8888:8888" # Jupyter | |
| environment: | |
| - PYTHONUNBUFFERED=1 | |
| volumes: | |
| - .:/app:rw | |
| command: ["bash"] | |
| stdin_open: true | |
| tty: true | |
| profiles: ["dev"] | |