Package com.google.cloud.aiplatform.v1beta1

Interface VeoHyperParametersOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
VeoHyperParameters, VeoHyperParameters.Builder
@Generated public interface VeoHyperParametersOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getEpochCount

      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:
      The epochCount.

    • getLearningRateMultiplier

      double getLearningRateMultiplier()
       Optional. Multiplier for adjusting the default learning rate.
      double learning_rate_multiplier = 2 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The learningRateMultiplier.

    • getTuningTaskValue

      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:
      The enum numeric value on the wire for tuningTask.

    • getTuningTask

      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:
      The tuningTask.

    • hasVeoDataMixtureRatio

      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:
      Whether the veoDataMixtureRatio field is set.

    • getVeoDataMixtureRatio

      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:
      The veoDataMixtureRatio.

    • hasTuningSpeed

      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:
      Whether the tuningSpeed field is set.

    • getTuningSpeedValue

      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:
      The enum numeric value on the wire for tuningSpeed.

    • getTuningSpeed

      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:
      The tuningSpeed.

    • getAdapterSizeValue

      int getAdapterSizeValue()
       Optional. The adapter size for LoRA tuning.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters.AdapterSize adapter_size = 6 [(.google.api.field_behavior) = OPTIONAL];
      Returns:
      The enum numeric value on the wire for adapterSize.

    • getAdapterSize

      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:
      The adapterSize.