cluster_name: default
min_workers: 0
max_workers: 0
target_utilization_fraction: 0.8
idle_timeout_minutes: 5

# Cloud-provider specific configuration.
provider:
    type: aws
    region: us-west-2
    availability_zone: us-west-2a
auth:
    ssh_user: ubuntu

head_node:
    InstanceType: m5.xlarge
    ImageId: ami-0888a3b5189309429  # DLAMI 7/1/19
    BlockDeviceMappings:
        - DeviceName: /dev/sda1
          Ebs:
              VolumeSize: 150

worker_nodes:
    InstanceType: m5.large
    ImageId: ami-0888a3b5189309429  # DLAMI 7/1/19
    BlockDeviceMappings:
        - DeviceName: /dev/sda1
          Ebs:
              VolumeSize: 150

    # Run workers on spot by default. Comment this out to use on-demand.
    InstanceMarketOptions:
        MarketType: spot

# List of shell commands to run to set up nodes.
setup_commands:
    # Install nightly Ray wheels.
    - source activate tensorflow_p36 && pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/<<<RAY_BRANCH>>>/<<<RAY_COMMIT>>>/ray-<<<RAY_VERSION>>>-cp36-cp36m-manylinux1_x86_64.whl
    - source activate tensorflow_p36 && pip install ray[rllib] ray[debug] gym[atari]
    # Uncomment the following if you wish to build Ray instead.
    # - sudo apt-get update
    # - sudo apt-get install -y build-essential curl unzip
    # - git clone https://github.com/ray-project/ray || true
    # - ray/ci/travis/install-bazel.sh
    # - cd ray/python; git checkout master; git pull; source activate tensorflow_p36 && pip install -e . --verbose

# Custom commands that will be run on the head node after common setup.
head_setup_commands: []

# Custom commands that will be run on worker nodes after common setup.
worker_setup_commands: []

# Command to start ray on the head node. You don't need to change this.
head_start_ray_commands: []

# Command to start ray on worker nodes. You don't need to change this.
worker_start_ray_commands: []