cluster_name: ray-xgboost-release-gpu-small

min_workers: 4
max_workers: 4

idle_timeout_minutes: 15

docker:
    image: anyscale/ray:latest-gpu
    container_name: ray_container
    pull_before_run: true

provider:
    type: aws
    region: us-west-2
    availability_zone: us-west-2a
    cache_stopped_nodes: false

auth:
    ssh_user: ubuntu

head_node:
    # 64 CPUs
    InstanceType: m5.xlarge

worker_nodes:
    # 64 CPUs
    InstanceType: p2.xlarge

setup_commands:
    - pip install pytest xgboost_ray
    - sudo mkdir -p /data || true
    - sudo chown ray:1000 /data || true
    - rm -rf /data/classification.parquet || true
    - python ~/release-automation-xgboost_tests/create_test_data.py /data/classification.parquet --seed 1234 --num-rows 1000000 --num-cols 40 --num-partitions 100 --num-classes 2