Class UpdateTensorboardRunRequest (3.4.2)

public final class UpdateTensorboardRunRequest extends GeneratedMessageV3 implements UpdateTensorboardRunRequestOrBuilder

Request message for TensorboardService.UpdateTensorboardRun.

Protobuf type google.cloud.aiplatform.v1.UpdateTensorboardRunRequest

Static Fields

TENSORBOARD_RUN_FIELD_NUMBER

public static final int TENSORBOARD_RUN_FIELD_NUMBER
Field Value
TypeDescription
int

UPDATE_MASK_FIELD_NUMBER

public static final int UPDATE_MASK_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static UpdateTensorboardRunRequest getDefaultInstance()
Returns
TypeDescription
UpdateTensorboardRunRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static UpdateTensorboardRunRequest.Builder newBuilder()
Returns
TypeDescription
UpdateTensorboardRunRequest.Builder

newBuilder(UpdateTensorboardRunRequest prototype)

public static UpdateTensorboardRunRequest.Builder newBuilder(UpdateTensorboardRunRequest prototype)
Parameter
NameDescription
prototypeUpdateTensorboardRunRequest
Returns
TypeDescription
UpdateTensorboardRunRequest.Builder

parseDelimitedFrom(InputStream input)

public static UpdateTensorboardRunRequest parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static UpdateTensorboardRunRequest parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static UpdateTensorboardRunRequest parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static UpdateTensorboardRunRequest parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static UpdateTensorboardRunRequest parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static UpdateTensorboardRunRequest parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
UpdateTensorboardRunRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<UpdateTensorboardRunRequest> parser()
Returns
TypeDescription
Parser<UpdateTensorboardRunRequest>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getDefaultInstanceForType()

public UpdateTensorboardRunRequest getDefaultInstanceForType()
Returns
TypeDescription
UpdateTensorboardRunRequest

getParserForType()

public Parser<UpdateTensorboardRunRequest> getParserForType()
Returns
TypeDescription
Parser<UpdateTensorboardRunRequest>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getTensorboardRun()

public TensorboardRun getTensorboardRun()

Required. The TensorboardRun's name field is used to identify the TensorboardRun to be updated. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

.google.cloud.aiplatform.v1.TensorboardRun tensorboard_run = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
TensorboardRun

The tensorboardRun.

getTensorboardRunOrBuilder()

public TensorboardRunOrBuilder getTensorboardRunOrBuilder()

Required. The TensorboardRun's name field is used to identify the TensorboardRun to be updated. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

.google.cloud.aiplatform.v1.TensorboardRun tensorboard_run = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
TensorboardRunOrBuilder

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

getUpdateMask()

public FieldMask getUpdateMask()

Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.

.google.protobuf.FieldMask update_mask = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
FieldMask

The updateMask.

getUpdateMaskOrBuilder()

public FieldMaskOrBuilder getUpdateMaskOrBuilder()

Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.

.google.protobuf.FieldMask update_mask = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
FieldMaskOrBuilder

hasTensorboardRun()

public boolean hasTensorboardRun()

Required. The TensorboardRun's name field is used to identify the TensorboardRun to be updated. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

.google.cloud.aiplatform.v1.TensorboardRun tensorboard_run = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the tensorboardRun field is set.

hasUpdateMask()

public boolean hasUpdateMask()

Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.

.google.protobuf.FieldMask update_mask = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the updateMask field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public UpdateTensorboardRunRequest.Builder newBuilderForType()
Returns
TypeDescription
UpdateTensorboardRunRequest.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected UpdateTensorboardRunRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
UpdateTensorboardRunRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public UpdateTensorboardRunRequest.Builder toBuilder()
Returns
TypeDescription
UpdateTensorboardRunRequest.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException