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[autoscaler] remove worker_default_node_type that is useless. (#13588)
This commit is contained in:
Ameer Haj Ali
GitHub
parent
4e01a9ec38
commit
1fbb752f42
10 changed files with 1 additions and 32 deletions
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@ -111,9 +111,6 @@ An example of configuring multiple node types is as follows `(full example) <htt
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# Specify the node type of the head node (as configured above).
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head_node_type: cpu_4_ondemand
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# Specify the default type of the worker node (as configured above).
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worker_default_node_type: cpu_16_spot
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The above config defines two CPU node types (``cpu_4_ondemand`` and ``cpu_16_spot``), and two GPU types (``gpu_1_ondemand`` and ``gpu_8_ondemand``). Each node type has a name (e.g., ``cpu_4_ondemand``), which has no semantic meaning and is only for debugging. Let's look at the inner fields of the ``gpu_1_ondemand`` node type:
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@ -85,13 +85,6 @@ def validate_config(config: Dict[str, Any]) -> None:
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if config["head_node_type"] not in config["available_node_types"]:
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raise ValueError(
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"`head_node_type` must be one of `available_node_types`.")
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if "worker_default_node_type" not in config:
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raise ValueError("You must specify `worker_default_node_type` if "
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"`available_node_types is set.")
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if (config["worker_default_node_type"] not in config[
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"available_node_types"]):
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raise ValueError("`worker_default_node_type` must be one of "
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"`available_node_types`.")
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def prepare_config(config):
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@ -123,7 +116,6 @@ def rewrite_legacy_yaml_to_available_node_types(
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},
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}
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config["head_node_type"] = NODE_TYPE_LEGACY_HEAD
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config["worker_default_node_type"] = NODE_TYPE_LEGACY_WORKER
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return config
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@ -55,9 +55,6 @@ available_node_types:
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# Specify the node type of the head node (as configured above).
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head_node_type: cpu_4_ondemand
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# Specify the default type of the worker node (as configured above).
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worker_default_node_type: cpu_16_spot
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# The default settings for the head node. This will be merged with the per-node
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# type configs given above.
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head_node:
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@ -25,7 +25,6 @@ spec:
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required:
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- podTypes
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- headPodType
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- workerDefaultPodType
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properties:
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maxWorkers:
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description: The maximum number of workers nodes to launch in addition to the
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@ -4264,9 +4263,6 @@ spec:
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headPodType:
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description: Specifies the head node type.
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type: string
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workerDefaultPodType:
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description: Specifies the default worker node type.
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type: string
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headStartRayCommands:
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description: Commands to start Ray on the head node.
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type: array
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@ -14,8 +14,6 @@ spec:
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idleTimeoutMinutes: 5
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# Specify the pod type for the ray head node (as configured below).
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headPodType: head-node
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# Specify the default pod type for ray the worker nodes (as configured below).
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workerDefaultPodType: worker-nodes
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# Specify the allowed pod types for this ray cluster and the resources they provide.
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podTypes:
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- name: head-node
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@ -14,8 +14,6 @@ spec:
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idleTimeoutMinutes: 5
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# Specify the pod type for the ray head node (as configured below).
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headPodType: head-node
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# Specify the default pod type for ray the worker nodes (as configured below).
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workerDefaultPodType: worker-nodes
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# Specify the allowed pod types for this ray cluster and the resources they provide.
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podTypes:
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- name: head-node
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@ -254,10 +254,6 @@
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"type": "string",
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"description": "If using multiple node types, specifies the head node type."
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},
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"worker_default_node_type": {
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"type": "string",
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"description": "If using multiple node types, specifies the default worker node type."
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},
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"head_node": {
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"type": "object",
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"description": "Provider-specific config for the head node, e.g. instance type."
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@ -103,9 +103,6 @@ available_node_types:
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# Specify the node type of the head node (as configured above).
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head_node_type: cpu_4_ondemand
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# Specify the default type of the worker node (as configured above).
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worker_default_node_type: cpu_4_spot
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# The default settings for the head node. This will be merged with the per-node
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# type configs given above.
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#head_node:
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@ -17,7 +17,6 @@ CONFIG_FIELDS = {
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"upscalingSpeed": "upscaling_speed",
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"idleTimeoutMinutes": "idle_timeout_minutes",
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"headPodType": "head_node_type",
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"workerDefaultPodType": "worker_default_node_type",
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"workerStartRayCommands": "worker_start_ray_commands",
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"headStartRayCommands": "head_start_ray_commands",
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"podTypes": "available_node_types"
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@ -87,8 +87,7 @@ TYPES_A = {
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MULTI_WORKER_CLUSTER = dict(
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SMALL_CLUSTER, **{
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"available_node_types": TYPES_A,
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"head_node_type": "empty_node",
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"worker_default_node_type": "m4.large",
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"head_node_type": "empty_node"
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})
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