Package com.google.cloud.visionai.v1

Interface MachineSpecOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
MachineSpec, MachineSpec.Builder
@Generated public interface MachineSpecOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    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 Details

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