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.
13705 13706 13707 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13705 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
13673 13674 13675 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13673 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
13679 13680 13681 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13679 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
13690 13691 13692 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13690 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
13697 13698 13699 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13697 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
13703 13704 13705 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13703 def tpu_topology @tpu_topology end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
13710 13711 13712 13713 13714 13715 13716 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 13710 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 |