com.google.cloud.vertexai.api

Class DedicatedResources

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessageV3

com.google.cloud.vertexai.api.DedicatedResources

All Implemented Interfaces:

DedicatedResourcesOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable

public final class DedicatedResources
extends com.google.protobuf.GeneratedMessageV3
implements DedicatedResourcesOrBuilder

 A description of resources that are dedicated to a DeployedModel, and
 that need a higher degree of manual configuration.
 

Protobuf type google.cloud.vertexai.v1.DedicatedResources

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	DedicatedResources.Builder A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3

com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	AUTOSCALING_METRIC_SPECS_FIELD_NUMBER
static int	MACHINE_SPEC_FIELD_NUMBER
static int	MAX_REPLICA_COUNT_FIELD_NUMBER
static int	MIN_REPLICA_COUNT_FIELD_NUMBER
static int	REQUIRED_REPLICA_COUNT_FIELD_NUMBER
static int	SPOT_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage

memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
AutoscalingMetricSpec	getAutoscalingMetricSpecs(int index) Immutable.
int	getAutoscalingMetricSpecsCount() Immutable.
List<AutoscalingMetricSpec>	getAutoscalingMetricSpecsList() Immutable.
AutoscalingMetricSpecOrBuilder	getAutoscalingMetricSpecsOrBuilder(int index) Immutable.
List<? extends AutoscalingMetricSpecOrBuilder>	getAutoscalingMetricSpecsOrBuilderList() Immutable.
static DedicatedResources	getDefaultInstance()
DedicatedResources	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
MachineSpec	getMachineSpec() Required.
MachineSpecOrBuilder	getMachineSpecOrBuilder() Required.
int	getMaxReplicaCount() Immutable.
int	getMinReplicaCount() Required.
com.google.protobuf.Parser<DedicatedResources>	getParserForType()
int	getRequiredReplicaCount() Optional.
int	getSerializedSize()
boolean	getSpot() Optional.
int	hashCode()
boolean	hasMachineSpec() Required.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static DedicatedResources.Builder	newBuilder()
static DedicatedResources.Builder	newBuilder(DedicatedResources prototype)
DedicatedResources.Builder	newBuilderForType()
protected DedicatedResources.Builder	newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object	newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static DedicatedResources	parseDelimitedFrom(InputStream input)
static DedicatedResources	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static DedicatedResources	parseFrom(byte[] data)
static DedicatedResources	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static DedicatedResources	parseFrom(ByteBuffer data)
static DedicatedResources	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static DedicatedResources	parseFrom(com.google.protobuf.ByteString data)
static DedicatedResources	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static DedicatedResources	parseFrom(com.google.protobuf.CodedInputStream input)
static DedicatedResources	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static DedicatedResources	parseFrom(InputStream input)
static DedicatedResources	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<DedicatedResources>	parser()
DedicatedResources.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Methods inherited from class com.google.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

MACHINE_SPEC_FIELD_NUMBER

public static final int MACHINE_SPEC_FIELD_NUMBER

See Also:

Constant Field Values

MIN_REPLICA_COUNT_FIELD_NUMBER

public static final int MIN_REPLICA_COUNT_FIELD_NUMBER

See Also:

Constant Field Values

MAX_REPLICA_COUNT_FIELD_NUMBER

public static final int MAX_REPLICA_COUNT_FIELD_NUMBER

See Also:

Constant Field Values

REQUIRED_REPLICA_COUNT_FIELD_NUMBER

public static final int REQUIRED_REPLICA_COUNT_FIELD_NUMBER

See Also:

Constant Field Values

AUTOSCALING_METRIC_SPECS_FIELD_NUMBER

public static final int AUTOSCALING_METRIC_SPECS_FIELD_NUMBER

See Also:

Constant Field Values

SPOT_FIELD_NUMBER

public static final int SPOT_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class com.google.protobuf.GeneratedMessageV3

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

hasMachineSpec

public boolean hasMachineSpec()

 Required. Immutable. The specification of a single machine used by the
 prediction.
 

.google.cloud.vertexai.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Specified by:

hasMachineSpec in interface DedicatedResourcesOrBuilder

Returns:

Whether the machineSpec field is set.

getMachineSpec

public MachineSpec getMachineSpec()

 Required. Immutable. The specification of a single machine used by the
 prediction.
 

.google.cloud.vertexai.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Specified by:

getMachineSpec in interface DedicatedResourcesOrBuilder

Returns:

The machineSpec.

getMachineSpecOrBuilder

public MachineSpecOrBuilder getMachineSpecOrBuilder()

 Required. Immutable. The specification of a single machine used by the
 prediction.
 

.google.cloud.vertexai.v1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Specified by:

getMachineSpecOrBuilder in interface DedicatedResourcesOrBuilder

getMinReplicaCount

public int getMinReplicaCount()

 Required. Immutable. The minimum number of machine replicas this
 DeployedModel will be always deployed on. This value must be greater than
 or equal to 1.

 If traffic against the DeployedModel increases, it may dynamically be
 deployed onto more replicas, and as traffic decreases, some of these extra
 replicas may be freed.
 

int32 min_replica_count = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Specified by:

getMinReplicaCount in interface DedicatedResourcesOrBuilder

Returns:

The minReplicaCount.

getMaxReplicaCount

public int getMaxReplicaCount()

 Immutable. The maximum number of replicas this DeployedModel may be
 deployed on when the traffic against it increases. If the requested value
 is too large, the deployment will error, but if deployment succeeds then
 the ability to scale the model to that many replicas is guaranteed (barring
 service outages). If traffic against the DeployedModel increases beyond
 what its replicas at maximum may handle, a portion of the traffic will be
 dropped. If this value is not provided, will use
 [min_replica_count][google.cloud.aiplatform.v1.DedicatedResources.min_replica_count]
 as the default value.

 The value of this field impacts the charge against Vertex CPU and GPU
 quotas. Specifically, you will be charged for (max_replica_count *
 number of cores in the selected machine type) and (max_replica_count *
 number of GPUs per replica in the selected machine type).
 

int32 max_replica_count = 3 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getMaxReplicaCount in interface DedicatedResourcesOrBuilder

Returns:

The maxReplicaCount.

getRequiredReplicaCount

public int getRequiredReplicaCount()

 Optional. Number of required available replicas for the deployment to
 succeed. This field is only needed when partial model deployment/mutation
 is desired. If set, the model deploy/mutate operation will succeed once
 available_replica_count reaches required_replica_count, and the rest of
 the replicas will be retried. If not set, the default
 required_replica_count will be min_replica_count.
 

int32 required_replica_count = 9 [(.google.api.field_behavior) = OPTIONAL];

Specified by:

getRequiredReplicaCount in interface DedicatedResourcesOrBuilder

Returns:

The requiredReplicaCount.

getAutoscalingMetricSpecsList

public List<AutoscalingMetricSpec> getAutoscalingMetricSpecsList()

 Immutable. The metric specifications that overrides a resource
 utilization metric (CPU utilization, accelerator's duty cycle, and so on)
 target value (default to 60 if not set). At most one entry is allowed per
 metric.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is above 0, the autoscaling will be based on both CPU utilization and
 accelerator's duty cycle metrics and scale up when either metrics exceeds
 its target value while scale down if both metrics are under their target
 value. The default target value is 60 for both metrics.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is 0, the autoscaling will be based on CPU utilization metric only with
 default target value 60 if not explicitly set.

 For example, in the case of Online Prediction, if you want to override
 target CPU utilization to 80, you should set
 [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
 to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
 [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
 to `80`.
 

repeated .google.cloud.vertexai.v1.AutoscalingMetricSpec autoscaling_metric_specs = 4 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getAutoscalingMetricSpecsList in interface DedicatedResourcesOrBuilder

getAutoscalingMetricSpecsOrBuilderList

public List<? extends AutoscalingMetricSpecOrBuilder> getAutoscalingMetricSpecsOrBuilderList()

 Immutable. The metric specifications that overrides a resource
 utilization metric (CPU utilization, accelerator's duty cycle, and so on)
 target value (default to 60 if not set). At most one entry is allowed per
 metric.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is above 0, the autoscaling will be based on both CPU utilization and
 accelerator's duty cycle metrics and scale up when either metrics exceeds
 its target value while scale down if both metrics are under their target
 value. The default target value is 60 for both metrics.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is 0, the autoscaling will be based on CPU utilization metric only with
 default target value 60 if not explicitly set.

 For example, in the case of Online Prediction, if you want to override
 target CPU utilization to 80, you should set
 [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
 to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
 [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
 to `80`.
 

repeated .google.cloud.vertexai.v1.AutoscalingMetricSpec autoscaling_metric_specs = 4 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getAutoscalingMetricSpecsOrBuilderList in interface DedicatedResourcesOrBuilder

getAutoscalingMetricSpecsCount

public int getAutoscalingMetricSpecsCount()

 Immutable. The metric specifications that overrides a resource
 utilization metric (CPU utilization, accelerator's duty cycle, and so on)
 target value (default to 60 if not set). At most one entry is allowed per
 metric.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is above 0, the autoscaling will be based on both CPU utilization and
 accelerator's duty cycle metrics and scale up when either metrics exceeds
 its target value while scale down if both metrics are under their target
 value. The default target value is 60 for both metrics.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is 0, the autoscaling will be based on CPU utilization metric only with
 default target value 60 if not explicitly set.

 For example, in the case of Online Prediction, if you want to override
 target CPU utilization to 80, you should set
 [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
 to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
 [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
 to `80`.
 

repeated .google.cloud.vertexai.v1.AutoscalingMetricSpec autoscaling_metric_specs = 4 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getAutoscalingMetricSpecsCount in interface DedicatedResourcesOrBuilder

getAutoscalingMetricSpecs

public AutoscalingMetricSpec getAutoscalingMetricSpecs(int index)

 Immutable. The metric specifications that overrides a resource
 utilization metric (CPU utilization, accelerator's duty cycle, and so on)
 target value (default to 60 if not set). At most one entry is allowed per
 metric.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is above 0, the autoscaling will be based on both CPU utilization and
 accelerator's duty cycle metrics and scale up when either metrics exceeds
 its target value while scale down if both metrics are under their target
 value. The default target value is 60 for both metrics.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is 0, the autoscaling will be based on CPU utilization metric only with
 default target value 60 if not explicitly set.

 For example, in the case of Online Prediction, if you want to override
 target CPU utilization to 80, you should set
 [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
 to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
 [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
 to `80`.
 

repeated .google.cloud.vertexai.v1.AutoscalingMetricSpec autoscaling_metric_specs = 4 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getAutoscalingMetricSpecs in interface DedicatedResourcesOrBuilder

getAutoscalingMetricSpecsOrBuilder

public AutoscalingMetricSpecOrBuilder getAutoscalingMetricSpecsOrBuilder(int index)

 Immutable. The metric specifications that overrides a resource
 utilization metric (CPU utilization, accelerator's duty cycle, and so on)
 target value (default to 60 if not set). At most one entry is allowed per
 metric.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is above 0, the autoscaling will be based on both CPU utilization and
 accelerator's duty cycle metrics and scale up when either metrics exceeds
 its target value while scale down if both metrics are under their target
 value. The default target value is 60 for both metrics.

 If
 [machine_spec.accelerator_count][google.cloud.aiplatform.v1.MachineSpec.accelerator_count]
 is 0, the autoscaling will be based on CPU utilization metric only with
 default target value 60 if not explicitly set.

 For example, in the case of Online Prediction, if you want to override
 target CPU utilization to 80, you should set
 [autoscaling_metric_specs.metric_name][google.cloud.aiplatform.v1.AutoscalingMetricSpec.metric_name]
 to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and
 [autoscaling_metric_specs.target][google.cloud.aiplatform.v1.AutoscalingMetricSpec.target]
 to `80`.
 

repeated .google.cloud.vertexai.v1.AutoscalingMetricSpec autoscaling_metric_specs = 4 [(.google.api.field_behavior) = IMMUTABLE];

Specified by:

getAutoscalingMetricSpecsOrBuilder in interface DedicatedResourcesOrBuilder

getSpot

public boolean getSpot()

 Optional. If true, schedule the deployment workload on [spot
 VMs](https://cloud.google.com/kubernetes-engine/docs/concepts/spot-vms).
 

bool spot = 5 [(.google.api.field_behavior) = OPTIONAL];

Specified by:

getSpot in interface DedicatedResourcesOrBuilder

Returns:

The spot.

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3

writeTo

public void writeTo(com.google.protobuf.CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface com.google.protobuf.MessageLite

Overrides:

writeTo in class com.google.protobuf.GeneratedMessageV3

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface com.google.protobuf.MessageLite

Overrides:

getSerializedSize in class com.google.protobuf.GeneratedMessageV3

equals

public boolean equals(Object obj)

Specified by:

equals in interface com.google.protobuf.Message

Overrides:

equals in class com.google.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface com.google.protobuf.Message

Overrides:

hashCode in class com.google.protobuf.AbstractMessage

parseFrom

public static DedicatedResources parseFrom(ByteBuffer data)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static DedicatedResources parseFrom(ByteBuffer data,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static DedicatedResources parseFrom(com.google.protobuf.ByteString data)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static DedicatedResources parseFrom(com.google.protobuf.ByteString data,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static DedicatedResources parseFrom(byte[] data)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static DedicatedResources parseFrom(byte[] data,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static DedicatedResources parseFrom(InputStream input)
                                    throws IOException

Throws:

IOException

parseFrom

public static DedicatedResources parseFrom(InputStream input,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException

Throws:

IOException

parseDelimitedFrom

public static DedicatedResources parseDelimitedFrom(InputStream input)
                                             throws IOException

Throws:

IOException

parseDelimitedFrom

public static DedicatedResources parseDelimitedFrom(InputStream input,
                                                    com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                             throws IOException

Throws:

IOException

parseFrom

public static DedicatedResources parseFrom(com.google.protobuf.CodedInputStream input)
                                    throws IOException

Throws:

IOException

parseFrom

public static DedicatedResources parseFrom(com.google.protobuf.CodedInputStream input,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException

Throws:

IOException

newBuilderForType

public DedicatedResources.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static DedicatedResources.Builder newBuilder()

newBuilder

public static DedicatedResources.Builder newBuilder(DedicatedResources prototype)

toBuilder

public DedicatedResources.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

protected DedicatedResources.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstance

public static DedicatedResources getDefaultInstance()

parser

public static com.google.protobuf.Parser<DedicatedResources> parser()

getParserForType

public com.google.protobuf.Parser<DedicatedResources> getParserForType()

Specified by:

getParserForType in interface com.google.protobuf.Message

Specified by:

getParserForType in interface com.google.protobuf.MessageLite

Overrides:

getParserForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public DedicatedResources getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder