com.google.cloud.aiplatform.v1beta1

Interface MachineSpecOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

MachineSpec, MachineSpec.Builder

public interface MachineSpecOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
int	getAcceleratorCount() The number of accelerators to attach to the machine.
AcceleratorType	getAcceleratorType() Immutable.
int	getAcceleratorTypeValue() Immutable.
String	getMachineType() Immutable.
com.google.protobuf.ByteString	getMachineTypeBytes() Immutable.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getMachineType

String getMachineType()

 Immutable. The type of the machine.
 See the [list of machine types supported for
 prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
 See the [list of machine types supported for custom
 training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
 For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
 value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
 [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
 

string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];

Returns:

The machineType.

getMachineTypeBytes

com.google.protobuf.ByteString getMachineTypeBytes()

 Immutable. The type of the machine.
 See the [list of machine types supported for
 prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)
 See the [list of machine types supported for custom
 training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).
 For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
 value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
 [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
 

string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];

Returns:

The bytes for machineType.

getAcceleratorTypeValue

int getAcceleratorTypeValue()

 Immutable. The type of accelerator(s) that may be attached to the machine as per
 [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
 

.google.cloud.aiplatform.v1beta1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];

Returns:

The enum numeric value on the wire for acceleratorType.

getAcceleratorType

AcceleratorType getAcceleratorType()

 Immutable. The type of accelerator(s) that may be attached to the machine as per
 [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
 

.google.cloud.aiplatform.v1beta1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];

Returns:

The acceleratorType.

getAcceleratorCount

int getAcceleratorCount()

 The number of accelerators to attach to the machine.
 

int32 accelerator_count = 3;

Returns:

The acceleratorCount.