Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RaySpec
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RaySpec
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb
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.
-
#resource_pool_images ⇒ Hash<String,String>
Optional.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1RaySpec
constructor
A new instance of GoogleCloudAiplatformV1beta1RaySpec.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1RaySpec
Returns a new instance of GoogleCloudAiplatformV1beta1RaySpec.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 14629 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 is not set.
Corresponds to the JSON property headNodeResourcePoolId
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 14608 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(e.g.
tensorflow or Pytorch) by choosing from Vertex prebuild images(https://cloud.
google.com/vertex-ai/docs/training/pre-built-containers). 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_v1beta1/classes.rb', line 14618 def image_uri @image_uri end |
#resource_pool_images ⇒ Hash<String,String>
Optional. Required if image_uri is not 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_v1beta1/classes.rb', line 14627 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_v1beta1/classes.rb', line 14634 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) @resource_pool_images = args[:resource_pool_images] if args.key?(:resource_pool_images) end |