Class TensorboardRun.Builder (2.4.0) 

public static final class TensorboardRun.Builder extends GeneratedMessageV3.Builder<TensorboardRun.Builder> implements TensorboardRunOrBuilder

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc

Protobuf type google.cloud.aiplatform.v1.TensorboardRun

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TensorboardRun.Builder

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public TensorboardRun.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
TensorboardRun.Builder
Overrides

build()

public TensorboardRun build()
Returns
TypeDescription
TensorboardRun

buildPartial()

public TensorboardRun buildPartial()
Returns
TypeDescription
TensorboardRun

clear()

public TensorboardRun.Builder clear()
Returns
TypeDescription
TensorboardRun.Builder
Overrides

clearCreateTime()

public TensorboardRun.Builder clearCreateTime()

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TensorboardRun.Builder

clearDescription()

public TensorboardRun.Builder clearDescription()

Description of this TensorboardRun.

string description = 3;

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

clearDisplayName()

public TensorboardRun.Builder clearDisplayName()

Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

clearEtag()

public TensorboardRun.Builder clearEtag()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 9;

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public TensorboardRun.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
TensorboardRun.Builder
Overrides

clearLabels()

public TensorboardRun.Builder clearLabels()
Returns
TypeDescription
TensorboardRun.Builder

clearName()

public TensorboardRun.Builder clearName()

Output only. Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public TensorboardRun.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
TensorboardRun.Builder
Overrides

clearUpdateTime()

public TensorboardRun.Builder clearUpdateTime()

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TensorboardRun.Builder

clone()

public TensorboardRun.Builder clone()
Returns
TypeDescription
TensorboardRun.Builder
Overrides

containsLabels(String key)

public boolean containsLabels(String key)

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
Timestamp

The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TimestampOrBuilder

getDefaultInstanceForType()

public TensorboardRun getDefaultInstanceForType()
Returns
TypeDescription
TensorboardRun

getDescription()

public String getDescription()

Description of this TensorboardRun.

string description = 3;

Returns
TypeDescription
String

The description.

getDescriptionBytes()

public ByteString getDescriptionBytes()

Description of this TensorboardRun.

string description = 3;

Returns
TypeDescription
ByteString

The bytes for description.

getDescriptor()

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

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getDisplayName()

public String getDisplayName()

Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
String

The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
ByteString

The bytes for displayName.

getEtag()

public String getEtag()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 9;

Returns
TypeDescription
String

The etag.

getEtagBytes()

public ByteString getEtagBytes()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 9;

Returns
TypeDescription
ByteString

The bytes for etag.

getLabels()

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
TypeDescription
Map<String,String>

getLabelsCount()

public int getLabelsCount()

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Returns
TypeDescription
int

getLabelsMap()

public Map<String,String> getLabelsMap()

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Returns
TypeDescription
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Parameters
NameDescription
keyString
defaultValueString
Returns
TypeDescription
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Parameter
NameDescription
keyString
Returns
TypeDescription
String

getMutableLabels()

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
TypeDescription
Map<String,String>

getName()

public String getName()

Output only. Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
String

The name.

getNameBytes()

public ByteString getNameBytes()

Output only. Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
ByteString

The bytes for name.

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
Timestamp

The updateTime.

getUpdateTimeBuilder()

public Timestamp.Builder getUpdateTimeBuilder()

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
Builder

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
TimestampOrBuilder

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
boolean

Whether the createTime field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
TypeDescription
boolean

Whether the updateTime field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

internalGetMutableMapField(int number)

protected MapField internalGetMutableMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeCreateTime(Timestamp value)

public TensorboardRun.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
valueTimestamp
Returns
TypeDescription
TensorboardRun.Builder

mergeFrom(TensorboardRun other)

public TensorboardRun.Builder mergeFrom(TensorboardRun other)
Parameter
NameDescription
otherTensorboardRun
Returns
TypeDescription
TensorboardRun.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public TensorboardRun.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
TensorboardRun.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public TensorboardRun.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
TensorboardRun.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TensorboardRun.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
TensorboardRun.Builder
Overrides

mergeUpdateTime(Timestamp value)

public TensorboardRun.Builder mergeUpdateTime(Timestamp value)

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
valueTimestamp
Returns
TypeDescription
TensorboardRun.Builder

putAllLabels(Map<String,String> values)

public TensorboardRun.Builder putAllLabels(Map<String,String> values)

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Parameter
NameDescription
valuesMap<String,String>
Returns
TypeDescription
TensorboardRun.Builder

putLabels(String key, String value)

public TensorboardRun.Builder putLabels(String key, String value)

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Parameters
NameDescription
keyString
valueString
Returns
TypeDescription
TensorboardRun.Builder

removeLabels(String key)

public TensorboardRun.Builder removeLabels(String key)

The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> labels = 8;

Parameter
NameDescription
keyString
Returns
TypeDescription
TensorboardRun.Builder

setCreateTime(Timestamp value)

public TensorboardRun.Builder setCreateTime(Timestamp value)

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
valueTimestamp
Returns
TypeDescription
TensorboardRun.Builder

setCreateTime(Timestamp.Builder builderForValue)

public TensorboardRun.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this TensorboardRun was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
builderForValueBuilder
Returns
TypeDescription
TensorboardRun.Builder

setDescription(String value)

public TensorboardRun.Builder setDescription(String value)

Description of this TensorboardRun.

string description = 3;

Parameter
NameDescription
valueString

The description to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setDescriptionBytes(ByteString value)

public TensorboardRun.Builder setDescriptionBytes(ByteString value)

Description of this TensorboardRun.

string description = 3;

Parameter
NameDescription
valueByteString

The bytes for description to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setDisplayName(String value)

public TensorboardRun.Builder setDisplayName(String value)

Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueString

The displayName to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setDisplayNameBytes(ByteString value)

public TensorboardRun.Builder setDisplayNameBytes(ByteString value)

Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
NameDescription
valueByteString

The bytes for displayName to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setEtag(String value)

public TensorboardRun.Builder setEtag(String value)

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 9;

Parameter
NameDescription
valueString

The etag to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setEtagBytes(ByteString value)

public TensorboardRun.Builder setEtagBytes(ByteString value)

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 9;

Parameter
NameDescription
valueByteString

The bytes for etag to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public TensorboardRun.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
TensorboardRun.Builder
Overrides

setName(String value)

public TensorboardRun.Builder setName(String value)

Output only. Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
valueString

The name to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setNameBytes(ByteString value)

public TensorboardRun.Builder setNameBytes(ByteString value)

Output only. Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
valueByteString

The bytes for name to set.

Returns
TypeDescription
TensorboardRun.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public TensorboardRun.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
TensorboardRun.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final TensorboardRun.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
TensorboardRun.Builder
Overrides

setUpdateTime(Timestamp value)

public TensorboardRun.Builder setUpdateTime(Timestamp value)

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
valueTimestamp
Returns
TypeDescription
TensorboardRun.Builder

setUpdateTime(Timestamp.Builder builderForValue)

public TensorboardRun.Builder setUpdateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this TensorboardRun was last updated.

.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
NameDescription
builderForValueBuilder
Returns
TypeDescription
TensorboardRun.Builder