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Ian Rodney
29 lines
892 B
YAML
29 lines
892 B
YAML
# An unique identifier for the head node and workers of this cluster.
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cluster_name: minimal
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hi: 1
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# The maximum number of workers nodes to launch in addition to the head
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# node. This takes precedence over min_workers. min_workers default to 0.
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min_workers: 0
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max_workers: 0
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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-2b
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# How Ray will authenticate with newly launched nodes.
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auth:
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ssh_user: ubuntu
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head_node:
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InstanceType: m4.10xlarge
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ImageId: ami-3b6bce43 # Amazon Deep Learning AMI (Ubuntu)
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setup_commands:
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- error me
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# - echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
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# # Command to start ray on the head node. You don't need to change this.
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head_start_ray_commands:
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- ray stop
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- ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml |