Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MachineSpec
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MachineSpec
- 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
-
#accelerator_count ⇒ Fixnum
The number of accelerators to attach to the machine.
-
#accelerator_type ⇒ String
Immutable.
-
#machine_type ⇒ String
Immutable.
-
#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.
-
#tpu_topology ⇒ String
Immutable.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1MachineSpec
constructor
A new instance of GoogleCloudAiplatformV1MachineSpec.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1MachineSpec
Returns a new instance of GoogleCloudAiplatformV1MachineSpec.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13474 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13442 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13448 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13459 def machine_type @machine_type 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13466 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
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13472 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 13479 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) @reservation_affinity = args[:reservation_affinity] if args.key?(:reservation_affinity) @tpu_topology = args[:tpu_topology] if args.key?(:tpu_topology) end |