Files
ray/python/ray/tests/additional_property.yaml
T
2020-05-18 13:25:34 -05:00

30 lines
1.0 KiB
YAML

# An unique identifier for the head node and workers of this cluster.
cluster_name: minimal
hi: 1
# The maximum number of workers nodes to launch in addition to the head
# node. This takes precedence over min_workers. min_workers default to 0.
min_workers: 0
max_workers: 0
provider:
type: aws
region: us-west-2
availability_zone: us-west-2b
# How Ray will authenticate with newly launched nodes.
auth:
ssh_user: ubuntu
head_node:
InstanceType: m4.10xlarge
ImageId: ami-3b6bce43 # Amazon Deep Learning AMI (Ubuntu)
setup_commands:
- error me
# - echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
# - source activate tensorflow_p27 && pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.4.0-cp27-cp27mu-manylinux1_x86_64.whl
# # Command to start ray on the head node. You don't need to change this.
head_start_ray_commands:
- ray stop
- ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml