docker-compose.yml

services:
  clawgui-eval:
    image: clawgui-eval
    build:
      context: .
      dockerfile: Dockerfile
    # ----------------------------------------------------------------
    # GPU access — requires NVIDIA Container Toolkit.
    # https://docs.nvidia.com/datacenter/cloud-native/container-toolkit
    # ----------------------------------------------------------------
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    # ----------------------------------------------------------------
    # Volume mounts
    #
    # data/ image/ output/ are downloaded from HuggingFace/ModelScope
    # and must live on the host (they are too large to bake into the image).
    #
    # Set DATA_DIR, IMAGE_DIR, OUTPUT_DIR, and MODEL_DIR in a .env file
    # or export them before running `docker compose up`.
    #
    # Example .env:
    #   DATA_DIR=/data/clawgui-eval/data
    #   IMAGE_DIR=/data/clawgui-eval/image
    #   OUTPUT_DIR=/data/clawgui-eval/output
    #   MODEL_DIR=/data/models
    # ----------------------------------------------------------------
    volumes:
      - ${DATA_DIR:-./data}:/workspace/clawgui-eval/data
      - ${IMAGE_DIR:-./image}:/workspace/clawgui-eval/image
      - ${OUTPUT_DIR:-./output}:/workspace/clawgui-eval/output
      - ${MODEL_DIR:-/tmp/models}:/models
    # ----------------------------------------------------------------
    # Override CMD to run a specific script, e.g.:
    #   docker compose run clawgui-eval bash scripts/infer/transformers/qwen3vl_run_transformers.sh
    # ----------------------------------------------------------------
    working_dir: /workspace/clawgui-eval
    ipc: host          # required for torch multiprocessing (spawn)
    ulimits:
      memlock: -1      # required for some GPU operations