Class VeoLoraTuningSpec.Builder (3.100.0)

public static final class VeoLoraTuningSpec.Builder extends GeneratedMessage.Builder<VeoLoraTuningSpec.Builder> implements VeoLoraTuningSpecOrBuilder

Tuning Spec for Veo LoRA Model Tuning.

Protobuf type google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec

Static Methods

getDescriptor()

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

Methods

build()

public VeoLoraTuningSpec build()
Returns
Type Description
VeoLoraTuningSpec

buildPartial()

public VeoLoraTuningSpec buildPartial()
Returns
Type Description
VeoLoraTuningSpec

clear()

public VeoLoraTuningSpec.Builder clear()
Returns
Type Description
VeoLoraTuningSpec.Builder
Overrides

clearHyperParameters()

public VeoLoraTuningSpec.Builder clearHyperParameters()

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VeoLoraTuningSpec.Builder

clearTrainingDatasetUri()

public VeoLoraTuningSpec.Builder clearTrainingDatasetUri()

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
VeoLoraTuningSpec.Builder

This builder for chaining.

clearValidationDatasetUri()

public VeoLoraTuningSpec.Builder clearValidationDatasetUri()

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VeoLoraTuningSpec.Builder

This builder for chaining.

getDefaultInstanceForType()

public VeoLoraTuningSpec getDefaultInstanceForType()
Returns
Type Description
VeoLoraTuningSpec

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getHyperParameters()

public VeoHyperParameters getHyperParameters()

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VeoHyperParameters

The hyperParameters.

getHyperParametersBuilder()

public VeoHyperParameters.Builder getHyperParametersBuilder()

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VeoHyperParameters.Builder

getHyperParametersOrBuilder()

public VeoHyperParametersOrBuilder getHyperParametersOrBuilder()

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VeoHyperParametersOrBuilder

getTrainingDatasetUri()

public String getTrainingDatasetUri()

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
String

The trainingDatasetUri.

getTrainingDatasetUriBytes()

public ByteString getTrainingDatasetUriBytes()

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ByteString

The bytes for trainingDatasetUri.

getValidationDatasetUri()

public String getValidationDatasetUri()

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The validationDatasetUri.

getValidationDatasetUriBytes()

public ByteString getValidationDatasetUriBytes()

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for validationDatasetUri.

hasHyperParameters()

public boolean hasHyperParameters()

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the hyperParameters field is set.

internalGetFieldAccessorTable()

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(VeoLoraTuningSpec other)

public VeoLoraTuningSpec.Builder mergeFrom(VeoLoraTuningSpec other)
Parameter
Name Description
other VeoLoraTuningSpec
Returns
Type Description
VeoLoraTuningSpec.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public VeoLoraTuningSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
VeoLoraTuningSpec.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public VeoLoraTuningSpec.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
VeoLoraTuningSpec.Builder
Overrides

mergeHyperParameters(VeoHyperParameters value)

public VeoLoraTuningSpec.Builder mergeHyperParameters(VeoHyperParameters value)

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value VeoHyperParameters
Returns
Type Description
VeoLoraTuningSpec.Builder

setHyperParameters(VeoHyperParameters value)

public VeoLoraTuningSpec.Builder setHyperParameters(VeoHyperParameters value)

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value VeoHyperParameters
Returns
Type Description
VeoLoraTuningSpec.Builder

setHyperParameters(VeoHyperParameters.Builder builderForValue)

public VeoLoraTuningSpec.Builder setHyperParameters(VeoHyperParameters.Builder builderForValue)

Optional. Hyperparameters for Veo LoRA.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
builderForValue VeoHyperParameters.Builder
Returns
Type Description
VeoLoraTuningSpec.Builder

setTrainingDatasetUri(String value)

public VeoLoraTuningSpec.Builder setTrainingDatasetUri(String value)

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value String

The trainingDatasetUri to set.

Returns
Type Description
VeoLoraTuningSpec.Builder

This builder for chaining.

setTrainingDatasetUriBytes(ByteString value)

public VeoLoraTuningSpec.Builder setTrainingDatasetUriBytes(ByteString value)

Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string training_dataset_uri = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value ByteString

The bytes for trainingDatasetUri to set.

Returns
Type Description
VeoLoraTuningSpec.Builder

This builder for chaining.

setValidationDatasetUri(String value)

public VeoLoraTuningSpec.Builder setValidationDatasetUri(String value)

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The validationDatasetUri to set.

Returns
Type Description
VeoLoraTuningSpec.Builder

This builder for chaining.

setValidationDatasetUriBytes(ByteString value)

public VeoLoraTuningSpec.Builder setValidationDatasetUriBytes(ByteString value)

Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.

string validation_dataset_uri = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for validationDatasetUri to set.

Returns
Type Description
VeoLoraTuningSpec.Builder

This builder for chaining.