mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00
46 lines
1.2 KiB
YAML
46 lines
1.2 KiB
YAML
cluster_name: ray-release-long-running-tests
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docker:
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image: anyscale/ray-ml:nightly
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container_name: ray_container
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pull_before_run: False
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provider:
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type: aws
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region: us-west-2
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availability_zone: us-west-2a, us-west-2b, us-west-2c
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auth:
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ssh_user: ubuntu
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available_node_types:
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cpu_8_ondemand:
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node_config:
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InstanceType: m5.2xlarge
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TagSpecifications:
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- ResourceType: "instance"
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Tags:
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- Key: anyscale-user
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Value: "release-automation@anyscale.com"
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- Key: anyscale-custodian
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Value: "ignore"
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- Key: anyscale-expiration
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Value: '{{env["ANSYCALE_EXPIRATION"]}}'
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BlockDeviceMappings:
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- DeviceName: /dev/sda1
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Ebs:
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VolumeSize: 200
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resources: {"CPU": 8}
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min_workers: 0
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max_workers: 0
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head_node_type: cpu_8_ondemand
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worker_default_node_type: cpu_8_ondemand
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setup_commands:
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- sudo apt update && sudo apt install -y unzip
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- pip install --upgrade pip
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- pip install -U tensorflow==1.14
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- pip install -U {{env["RAY_WHEEL"]}}
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- pip install -q "ray[all]" "gym[atari]"
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