# An unique identifier for the head node and workers of this cluster.
cluster_name: minimal
hi: 1
# The maximum number of workers nodes to launch in addition to the head
# node. This takes precedence over min_workers. min_workers default to 0.
min_workers: 0
max_workers: 0

provider:
    type: aws
    region: us-west-2
    availability_zone: us-west-2b

# How Ray will authenticate with newly launched nodes.
auth:
    ssh_user: ubuntu

head_node:
    InstanceType: m4.10xlarge
    ImageId: ami-3b6bce43  # Amazon Deep Learning AMI (Ubuntu)

setup_commands:
    - error me
    #     - echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc

# # Command to start ray on the head node. You don't need to change this.
head_start_ray_commands:
    - ray stop
    - ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml