Class UpdateTensorboardRunRequest (3.42.0)

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
Type Description
int

UPDATE_MASK_FIELD_NUMBER

public static final int UPDATE_MASK_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static UpdateTensorboardRunRequest getDefaultInstance()
Returns
Type Description
UpdateTensorboardRunRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static UpdateTensorboardRunRequest.Builder newBuilder()
Returns
Type Description
UpdateTensorboardRunRequest.Builder

newBuilder(UpdateTensorboardRunRequest prototype)

public static UpdateTensorboardRunRequest.Builder newBuilder(UpdateTensorboardRunRequest prototype)
Parameter
Name Description
prototype UpdateTensorboardRunRequest
Returns
Type Description
UpdateTensorboardRunRequest.Builder

parseDelimitedFrom(InputStream input)

public static UpdateTensorboardRunRequest parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static UpdateTensorboardRunRequest parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static UpdateTensorboardRunRequest parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static UpdateTensorboardRunRequest parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static UpdateTensorboardRunRequest parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static UpdateTensorboardRunRequest parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static UpdateTensorboardRunRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
UpdateTensorboardRunRequest
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<UpdateTensorboardRunRequest> parser()
Returns
Type Description
Parser<UpdateTensorboardRunRequest>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

public UpdateTensorboardRunRequest getDefaultInstanceForType()
Returns
Type Description
UpdateTensorboardRunRequest

getParserForType()

public Parser<UpdateTensorboardRunRequest> getParserForType()
Returns
Type Description
Parser<UpdateTensorboardRunRequest>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
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
Type Description
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
Type Description
TensorboardRunOrBuilder

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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

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

Returns
Type Description
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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

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

Returns
Type Description
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
Type Description
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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

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

Returns
Type Description
boolean

Whether the updateMask field is set.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public UpdateTensorboardRunRequest.Builder newBuilderForType()
Returns
Type Description
UpdateTensorboardRunRequest.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected UpdateTensorboardRunRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
UpdateTensorboardRunRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public UpdateTensorboardRunRequest.Builder toBuilder()
Returns
Type Description
UpdateTensorboardRunRequest.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException