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[autoscaler] Better explain min/max/initial worker settings (#9132)

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This commit is contained in:
Ian Rodney
2020-06-25 20:38:03 -07:00
committed by GitHub
parent 42631c5b87
commit f940ccd6fb
1 changed files with 4 additions and 4 deletions
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python/ray/autoscaler/local/example-full.yaml
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@@ -1,19 +1,19 @@
# An unique identifier for the head node and workers of this cluster.
cluster_name: default
## NOTE: Typically for local clusters, min_workers == initial_workers == max_workers.
## NOTE: Typically for local clusters, min_workers == initial_workers == max_workers == len(worker_ips).
# The minimum number of workers nodes to launch in addition to the head
# node. This number should be >= 0.
# Typically, min_workers == initial_workers == max_workers.
# Typically, min_workers == initial_workers == max_workers == len(worker_ips).
min_workers: 0
# The initial number of worker nodes to launch in addition to the head node.
# Typically, min_workers == initial_workers == max_workers.
# Typically, min_workers == initial_workers == max_workers == len(worker_ips).
initial_workers: 0
# The maximum number of workers nodes to launch in addition to the head node.
# This takes precedence over min_workers.
# Typically, min_workers == initial_workers == max_workers.
# Typically, min_workers == initial_workers == max_workers == len(worker_ips).
max_workers: 0
# Autoscaling parameters.