wehub-resource-sync
76 lines
1.8 KiB
YAML
76 lines
1.8 KiB
YAML
auth:
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ssh_user: ubuntu
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cluster_name: test-cli
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docker:
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image: anyscale/ray-ml:latest
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container_name: ray_container
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pull_before_run: true
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head_image: anyscale/ray-ml:head-default
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worker_image: anyscale/ray-ml:worker-default
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max_workers:
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10
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file_mounts:
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~/tests: .
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available_node_types:
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head_node:
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resources: {}
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max_workers: 0
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node_config:
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ImageId: latest_dlami
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InstanceType: t1.micro
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default:
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resources: {}
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max_workers: 2
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min_workers: 0
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node_config:
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ImageId: latest_dlami
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InstanceType: t1.micro
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worker_nodes:
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resources: {}
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max_workers: 2
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min_workers: 1
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node_config:
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ImageId: latest_dlami
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InstanceType: t1.micro
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initialization_commands:
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- echo what
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worker_nodes1:
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resources:
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CPU: 2
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labels:
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foo: bar
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max_workers: 2
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min_workers: 1
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node_config:
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ImageId: latest_dlami
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InstanceType: t1.micro
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worker_setup_commands:
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- echo worker1
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docker:
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worker_image: anyscale/ray-ml:worker_nodes1
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pull_before_run: true
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head_node_type: head_node
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head_setup_commands:
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- echo head
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head_start_ray_commands:
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- ray stop
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- ray start --head --autoscaling-config=~/ray_bootstrap_config.yaml
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idle_timeout_minutes: 5
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initialization_commands:
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- echo init
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provider:
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availability_zone: us-west-2a
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key_pair:
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key_name: __test-cli
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region: us-west-2
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type: aws
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setup_commands:
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- echo a
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- echo b
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- echo ${echo hi}
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worker_setup_commands:
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- echo worker
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worker_start_ray_commands:
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- ray stop
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- ray start --address=$RAY_HEAD_IP
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