Class: Google::Cloud::AIPlatform::V1::ResourcePool

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/persistent_resource.rb

Overview

Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.

Defined Under Namespace

Classes: AutoscalingSpec

Instance Attribute Summary collapse

Instance Attribute Details

#autoscaling_spec ⇒ ::Google::Cloud::AIPlatform::V1::ResourcePool::AutoscalingSpec 



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# File 'proto_docs/google/cloud/aiplatform/v1/persistent_resource.rb', line 170

class ResourcePool
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The min/max number of replicas allowed if enabling autoscaling
  # @!attribute [rw] min_replica_count
  #   @return [::Integer]
  #     Optional. min replicas in the node pool,
  #     must be ≤ replica_count and < max_replica_count or will throw error.
  #     For autoscaling enabled Ray-on-Vertex, we allow min_replica_count of a
  #     resource_pool to be 0 to match the OSS Ray
  #     behavior(https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#cluster-config-parameters).
  #     As for Persistent Resource, the min_replica_count must be > 0, we added
  #     a corresponding validation inside
  #     CreatePersistentResourceRequestValidator.java.
  # @!attribute [rw] max_replica_count
  #   @return [::Integer]
  #     Optional. max replicas in the node pool,
  #     must be ≥ replica_count and > min_replica_count or will throw error
  class AutoscalingSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#disk_spec ⇒ ::Google::Cloud::AIPlatform::V1::DiskSpec 



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# File 'proto_docs/google/cloud/aiplatform/v1/persistent_resource.rb', line 170

class ResourcePool
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The min/max number of replicas allowed if enabling autoscaling
  # @!attribute [rw] min_replica_count
  #   @return [::Integer]
  #     Optional. min replicas in the node pool,
  #     must be ≤ replica_count and < max_replica_count or will throw error.
  #     For autoscaling enabled Ray-on-Vertex, we allow min_replica_count of a
  #     resource_pool to be 0 to match the OSS Ray
  #     behavior(https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#cluster-config-parameters).
  #     As for Persistent Resource, the min_replica_count must be > 0, we added
  #     a corresponding validation inside
  #     CreatePersistentResourceRequestValidator.java.
  # @!attribute [rw] max_replica_count
  #   @return [::Integer]
  #     Optional. max replicas in the node pool,
  #     must be ≥ replica_count and > min_replica_count or will throw error
  class AutoscalingSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#id ⇒ ::String 



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# File 'proto_docs/google/cloud/aiplatform/v1/persistent_resource.rb', line 170

class ResourcePool
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The min/max number of replicas allowed if enabling autoscaling
  # @!attribute [rw] min_replica_count
  #   @return [::Integer]
  #     Optional. min replicas in the node pool,
  #     must be ≤ replica_count and < max_replica_count or will throw error.
  #     For autoscaling enabled Ray-on-Vertex, we allow min_replica_count of a
  #     resource_pool to be 0 to match the OSS Ray
  #     behavior(https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#cluster-config-parameters).
  #     As for Persistent Resource, the min_replica_count must be > 0, we added
  #     a corresponding validation inside
  #     CreatePersistentResourceRequestValidator.java.
  # @!attribute [rw] max_replica_count
  #   @return [::Integer]
  #     Optional. max replicas in the node pool,
  #     must be ≥ replica_count and > min_replica_count or will throw error
  class AutoscalingSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#machine_spec ⇒ ::Google::Cloud::AIPlatform::V1::MachineSpec 



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# File 'proto_docs/google/cloud/aiplatform/v1/persistent_resource.rb', line 170

class ResourcePool
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The min/max number of replicas allowed if enabling autoscaling
  # @!attribute [rw] min_replica_count
  #   @return [::Integer]
  #     Optional. min replicas in the node pool,
  #     must be ≤ replica_count and < max_replica_count or will throw error.
  #     For autoscaling enabled Ray-on-Vertex, we allow min_replica_count of a
  #     resource_pool to be 0 to match the OSS Ray
  #     behavior(https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#cluster-config-parameters).
  #     As for Persistent Resource, the min_replica_count must be > 0, we added
  #     a corresponding validation inside
  #     CreatePersistentResourceRequestValidator.java.
  # @!attribute [rw] max_replica_count
  #   @return [::Integer]
  #     Optional. max replicas in the node pool,
  #     must be ≥ replica_count and > min_replica_count or will throw error
  class AutoscalingSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#replica_count ⇒ ::Integer 



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# File 'proto_docs/google/cloud/aiplatform/v1/persistent_resource.rb', line 170

class ResourcePool
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The min/max number of replicas allowed if enabling autoscaling
  # @!attribute [rw] min_replica_count
  #   @return [::Integer]
  #     Optional. min replicas in the node pool,
  #     must be ≤ replica_count and < max_replica_count or will throw error.
  #     For autoscaling enabled Ray-on-Vertex, we allow min_replica_count of a
  #     resource_pool to be 0 to match the OSS Ray
  #     behavior(https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#cluster-config-parameters).
  #     As for Persistent Resource, the min_replica_count must be > 0, we added
  #     a corresponding validation inside
  #     CreatePersistentResourceRequestValidator.java.
  # @!attribute [rw] max_replica_count
  #   @return [::Integer]
  #     Optional. max replicas in the node pool,
  #     must be ≥ replica_count and > min_replica_count or will throw error
  class AutoscalingSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#used_replica_count ⇒ ::Integer (readonly) 



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# File 'proto_docs/google/cloud/aiplatform/v1/persistent_resource.rb', line 170

class ResourcePool
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The min/max number of replicas allowed if enabling autoscaling
  # @!attribute [rw] min_replica_count
  #   @return [::Integer]
  #     Optional. min replicas in the node pool,
  #     must be ≤ replica_count and < max_replica_count or will throw error.
  #     For autoscaling enabled Ray-on-Vertex, we allow min_replica_count of a
  #     resource_pool to be 0 to match the OSS Ray
  #     behavior(https://docs.ray.io/en/latest/cluster/vms/user-guides/configuring-autoscaling.html#cluster-config-parameters).
  #     As for Persistent Resource, the min_replica_count must be > 0, we added
  #     a corresponding validation inside
  #     CreatePersistentResourceRequestValidator.java.
  # @!attribute [rw] max_replica_count
  #   @return [::Integer]
  #     Optional. max replicas in the node pool,
  #     must be ≥ replica_count and > min_replica_count or will throw error
  class AutoscalingSpec
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end