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[Autoscaler] Update YAML example for CoordinatorSenderNodeProvider (#51292)
Signed-off-by: Dongjun Na <[email protected]>
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python/ray/autoscaler/local/example-minimal-automatic.yaml

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@@ -15,6 +15,7 @@ provider:
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# node. This number should be >= 0.
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# Set to 0 by default.
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min_workers: 0
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# The maximum number of worker nodes to add to the Ray cluster in addition to the head node.
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# This takes precedence over min_workers.
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# Required for automatically managed clusters.
@@ -33,3 +34,22 @@ auth:
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# setup_commands:
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# - if [ $(which ray) ]; then pip uninstall ray -y; fi
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# - pip install -U "ray[default] @ https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp37-cp37m-manylinux2014_x86_64.whl"
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# Defaults are empty to avoid any surprise changes to on-prem cluster's state.
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# Refer to example yamls for examples of ray installation in setup commands.
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initialization_commands: []
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setup_commands: []
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head_setup_commands: []
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worker_setup_commands: []
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available_node_types: {}
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head_node_type: {}
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head_start_ray_commands: []
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worker_start_ray_commands: []
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file_mounts: {}
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cluster_synced_files: []
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file_mounts_sync_continuously: false
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rsync_exclude: []
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rsync_filter: []

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