Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MachineSpec

Inherits:
Object
  • Object
show all
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

Overview

Specification of a single machine.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1MachineSpec

Returns a new instance of GoogleCloudAiplatformV1MachineSpec.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15362

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#accelerator_count ⇒ Fixnum

The number of accelerators to attach to the machine. Corresponds to the JSON property acceleratorCount

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15324

def accelerator_count
  @accelerator_count
end

#accelerator_type ⇒ String

Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count. Corresponds to the JSON property acceleratorType

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15330

def accelerator_type
  @accelerator_type
end

#machine_type ⇒ String

Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required. Corresponds to the JSON property machineType

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15341

def machine_type
  @machine_type
end

#multihost_gpu_node_count ⇒ Fixnum

Optional. Immutable. The number of nodes per replica for multihost GPU deployments. Corresponds to the JSON property multihostGpuNodeCount

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15347

def multihost_gpu_node_count
  @multihost_gpu_node_count
end

#reservation_affinity ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReservationAffinity

A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a DeployedModel) to draw its Compute Engine resources from a Shared Reservation, or exclusively from on-demand capacity. Corresponds to the JSON property reservationAffinity

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15354

def reservation_affinity
  @reservation_affinity
end

#tpu_topology ⇒ String

Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1"). Corresponds to the JSON property tpuTopology

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 15360

def tpu_topology
  @tpu_topology
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 15367

def update!(**args)
  @accelerator_count = args[:accelerator_count] if args.key?(:accelerator_count)
  @accelerator_type = args[:accelerator_type] if args.key?(:accelerator_type)
  @machine_type = args[:machine_type] if args.key?(:machine_type)
  @multihost_gpu_node_count = args[:multihost_gpu_node_count] if args.key?(:multihost_gpu_node_count)
  @reservation_affinity = args[:reservation_affinity] if args.key?(:reservation_affinity)
  @tpu_topology = args[:tpu_topology] if args.key?(:tpu_topology)
end