Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RaySpec
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RaySpec
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb more...
Overview
Configuration information for the Ray cluster. For experimental launch, Ray cluster creation and Persistent cluster creation are 1:1 mapping: We will provision all the nodes within the Persistent cluster as Ray nodes.
Instance Attribute Summary collapse
-
#head_node_resource_pool_id ⇒ String
Optional.
-
#image_uri ⇒ String
Optional.
-
#ray_logs_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RayLogsSpec
Configuration for the Ray OSS Logs.
-
#ray_metric_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RayMetricSpec
Configuration for the Ray metrics.
-
#resource_pool_images ⇒ Hash<String,String>
Optional.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1RaySpec
constructor
A new instance of GoogleCloudAiplatformV1RaySpec.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1RaySpec
Returns a new instance of GoogleCloudAiplatformV1RaySpec.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20558 def initialize(**args) update!(**args) end |
Instance Attribute Details
#head_node_resource_pool_id ⇒ String
Optional. This will be used to indicate which resource pool will serve as the
Ray head node(the first node within that pool). Will use the machine from the
first workerpool as the head node by default if this field isn't set.
Corresponds to the JSON property headNodeResourcePoolId
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20527 def head_node_resource_pool_id @head_node_resource_pool_id end |
#image_uri ⇒ String
Optional. Default image for user to choose a preferred ML framework (for
example, TensorFlow or Pytorch) by choosing from Vertex prebuilt images. Either
this or the resource_pool_images is required. Use this field if you need all
the resource pools to have the same Ray image. Otherwise, use the @code
resource_pool_images
field.
Corresponds to the JSON property imageUri
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20537 def image_uri @image_uri end |
#ray_logs_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RayLogsSpec
Configuration for the Ray OSS Logs.
Corresponds to the JSON property rayLogsSpec
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20542 def ray_logs_spec @ray_logs_spec end |
#ray_metric_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RayMetricSpec
Configuration for the Ray metrics.
Corresponds to the JSON property rayMetricSpec
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20547 def ray_metric_spec @ray_metric_spec end |
#resource_pool_images ⇒ Hash<String,String>
Optional. Required if image_uri isn't set. A map of resource_pool_id to
prebuild Ray image if user need to use different images for different head/
worker pools. This map needs to cover all the resource pool ids. Example: "
ray_head_node_pool": "head image" "ray_worker_node_pool1": "worker image" "
ray_worker_node_pool2": "another worker image"
Corresponds to the JSON property resourcePoolImages
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20556 def resource_pool_images @resource_pool_images end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 20563 def update!(**args) @head_node_resource_pool_id = args[:head_node_resource_pool_id] if args.key?(:head_node_resource_pool_id) @image_uri = args[:image_uri] if args.key?(:image_uri) @ray_logs_spec = args[:ray_logs_spec] if args.key?(:ray_logs_spec) @ray_metric_spec = args[:ray_metric_spec] if args.key?(:ray_metric_spec) @resource_pool_images = args[:resource_pool_images] if args.key?(:resource_pool_images) end |