mirror of
https://github.com/wassname/ray.git
synced 2026-07-08 03:14:22 +08:00
Alex Wu
58 lines
1.7 KiB
YAML
58 lines
1.7 KiB
YAML
cluster_name: ray-release-microbenchmark-alex
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min_workers: 0
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max_workers: 0
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target_utilization_fraction: 0.8
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idle_timeout_minutes: 5
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# Cloud-provider specific configuration.
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provider:
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type: aws
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region: us-west-1
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availability_zone: us-west-1a
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auth:
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ssh_user: ubuntu
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head_node:
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InstanceType: m4.16xlarge
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ImageId: ami-03fac5402e10ea93b # Ubuntu 18.04
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BlockDeviceMappings:
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- DeviceName: /dev/sda1
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Ebs:
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VolumeSize: 150
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worker_nodes:
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InstanceType: m5.large
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ImageId: ami-03fac5402e10ea93b # Ubuntu 18.04
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BlockDeviceMappings:
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- DeviceName: /dev/sda1
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Ebs:
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VolumeSize: 150
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# Run workers on spot by default. Comment this out to use on-demand.
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InstanceMarketOptions:
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MarketType: spot
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# List of shell commands to run to set up nodes.
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setup_commands:
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# Install latest TensorFlow
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- echo set-window-option -g mouse on > ~/.tmux.conf
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- echo 'termcapinfo xterm* ti@:te@' > ~/.screenrc
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# Custom commands that will be run on the head node after common setup.
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head_setup_commands:
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# Install Anaconda.
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- wget --quiet https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh || true
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- bash Anaconda3-5.0.1-Linux-x86_64.sh -b -p $HOME/anaconda3 || true
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- echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
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- pip install -U pip
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- conda uninstall -y terminado
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# Custom commands that will be run on worker nodes after common setup.
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worker_setup_commands: []
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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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# Command to start ray on worker nodes. You don't need to change this.
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worker_start_ray_commands: []
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