Package com.google.cloud.aiplatform.v1

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

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method 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.MessageLiteOrBuilder

        isInitialized

      • Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

    • 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.v1.DeployedModel] this field is
 optional, and the default value is `n1-standard-2`. For
 [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
 part of [WorkerPoolSpec][google.cloud.aiplatform.v1.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.v1.DeployedModel] this field is
 optional, and the default value is `n1-standard-2`. For
 [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob] or as
 part of [WorkerPoolSpec][google.cloud.aiplatform.v1.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.v1.MachineSpec.accelerator_count].
        .google.cloud.aiplatform.v1.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.v1.MachineSpec.accelerator_count].
        .google.cloud.aiplatform.v1.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.