Interface VeoHyperParametersOrBuilder (3.94.0)

public interface VeoHyperParametersOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAdapterSize()

public abstract VeoHyperParameters.AdapterSize getAdapterSize()

Optional. The adapter size for LoRA tuning.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters.AdapterSize adapter_size = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
VeoHyperParameters.AdapterSize

The adapterSize.

getAdapterSizeValue()

public abstract int getAdapterSizeValue()

Optional. The adapter size for LoRA tuning.

.google.cloud.aiplatform.v1beta1.VeoHyperParameters.AdapterSize adapter_size = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The enum numeric value on the wire for adapterSize.

getEpochCount()

public abstract long getEpochCount()

Optional. Number of complete passes the model makes over the entire training dataset during training.

int64 epoch_count = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
long

The epochCount.

getLearningRateMultiplier()

public abstract double getLearningRateMultiplier()

Optional. Multiplier for adjusting the default learning rate.

double learning_rate_multiplier = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
double

The learningRateMultiplier.

getTuningSpeed()

public abstract VeoHyperParameters.TuningSpeed getTuningSpeed()

The speed of the tuning job. Only supported for Veo 3.0 models.

optional .google.cloud.aiplatform.v1beta1.VeoHyperParameters.TuningSpeed tuning_speed = 5;

Returns
Type Description
VeoHyperParameters.TuningSpeed

The tuningSpeed.

getTuningSpeedValue()

public abstract int getTuningSpeedValue()

The speed of the tuning job. Only supported for Veo 3.0 models.

optional .google.cloud.aiplatform.v1beta1.VeoHyperParameters.TuningSpeed tuning_speed = 5;

Returns
Type Description
int

The enum numeric value on the wire for tuningSpeed.

getTuningTask()

public abstract VeoHyperParameters.TuningTask getTuningTask()

Optional. The tuning task. Either I2V or T2V.

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

Returns
Type Description
VeoHyperParameters.TuningTask

The tuningTask.

getTuningTaskValue()

public abstract int getTuningTaskValue()

Optional. The tuning task. Either I2V or T2V.

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

Returns
Type Description
int

The enum numeric value on the wire for tuningTask.

getVeoDataMixtureRatio()

public abstract double getVeoDataMixtureRatio()

Optional. The ratio of Google internal dataset to use in the training mixture, in range of [0, 1). If 0.2, it means 20% of Google internal dataset and 80% of user dataset will be used for training. If not set, the default value is 0.1.

optional double veo_data_mixture_ratio = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
double

The veoDataMixtureRatio.

hasTuningSpeed()

public abstract boolean hasTuningSpeed()

The speed of the tuning job. Only supported for Veo 3.0 models.

optional .google.cloud.aiplatform.v1beta1.VeoHyperParameters.TuningSpeed tuning_speed = 5;

Returns
Type Description
boolean

Whether the tuningSpeed field is set.

hasVeoDataMixtureRatio()

public abstract boolean hasVeoDataMixtureRatio()

Optional. The ratio of Google internal dataset to use in the training mixture, in range of [0, 1). If 0.2, it means 20% of Google internal dataset and 80% of user dataset will be used for training. If not set, the default value is 0.1.

optional double veo_data_mixture_ratio = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the veoDataMixtureRatio field is set.