Package com.google.cloud.aiplatform.v1beta1

Class VeoLoraTuningSpec.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<VeoLoraTuningSpec.Builder>
com.google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec.Builder
All Implemented Interfaces:
VeoLoraTuningSpecOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
VeoLoraTuningSpec
public static final class VeoLoraTuningSpec.Builder extends com.google.protobuf.GeneratedMessage.Builder<VeoLoraTuningSpec.Builder> implements VeoLoraTuningSpecOrBuilder
 Tuning Spec for Veo LoRA Model Tuning.
Protobuf type google.cloud.aiplatform.v1beta1.VeoLoraTuningSpec

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<VeoLoraTuningSpec.Builder>

    • clear

      public VeoLoraTuningSpec.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<VeoLoraTuningSpec.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<VeoLoraTuningSpec.Builder>

    • getDefaultInstanceForType

      public VeoLoraTuningSpec getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public VeoLoraTuningSpec build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public VeoLoraTuningSpec buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public VeoLoraTuningSpec.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<VeoLoraTuningSpec.Builder>

    • mergeFrom

      public VeoLoraTuningSpec.Builder mergeFrom(VeoLoraTuningSpec other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<VeoLoraTuningSpec.Builder>

    • mergeFrom

      public VeoLoraTuningSpec.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<VeoLoraTuningSpec.Builder>
      Throws:
      IOException

    • 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];
      Specified by:
      getTrainingDatasetUri in interface VeoLoraTuningSpecOrBuilder
      Returns:
      The trainingDatasetUri.

    • getTrainingDatasetUriBytes

      public com.google.protobuf.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];
      Specified by:
      getTrainingDatasetUriBytes in interface VeoLoraTuningSpecOrBuilder
      Returns:
      The bytes for trainingDatasetUri.

    • setTrainingDatasetUri

      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];
      Parameters:
      value - The trainingDatasetUri to set.
      Returns:
      This builder for chaining.

    • 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:
      This builder for chaining.

    • setTrainingDatasetUriBytes

      public VeoLoraTuningSpec.Builder setTrainingDatasetUriBytes(com.google.protobuf.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];
      Parameters:
      value - The bytes for trainingDatasetUri to set.
      Returns:
      This builder for chaining.

    • 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];
      Specified by:
      getValidationDatasetUri in interface VeoLoraTuningSpecOrBuilder
      Returns:
      The validationDatasetUri.

    • getValidationDatasetUriBytes

      public com.google.protobuf.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];
      Specified by:
      getValidationDatasetUriBytes in interface VeoLoraTuningSpecOrBuilder
      Returns:
      The bytes for validationDatasetUri.

    • setValidationDatasetUri

      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];
      Parameters:
      value - The validationDatasetUri to set.
      Returns:
      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:
      This builder for chaining.

    • setValidationDatasetUriBytes

      public VeoLoraTuningSpec.Builder setValidationDatasetUriBytes(com.google.protobuf.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];
      Parameters:
      value - The bytes for validationDatasetUri to set.
      Returns:
      This builder for chaining.

    • hasHyperParameters

      public boolean hasHyperParameters()
       Optional. Hyperparameters for Veo LoRA.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      hasHyperParameters in interface VeoLoraTuningSpecOrBuilder
      Returns:
      Whether the hyperParameters field is set.

    • getHyperParameters

      public VeoHyperParameters getHyperParameters()
       Optional. Hyperparameters for Veo LoRA.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getHyperParameters in interface VeoLoraTuningSpecOrBuilder
      Returns:
      The hyperParameters.

    • setHyperParameters

      public VeoLoraTuningSpec.Builder setHyperParameters(VeoHyperParameters value)
       Optional. Hyperparameters for Veo LoRA.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

    • setHyperParameters

      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];

    • mergeHyperParameters

      public VeoLoraTuningSpec.Builder mergeHyperParameters(VeoHyperParameters value)
       Optional. Hyperparameters for Veo LoRA.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

    • clearHyperParameters

      public VeoLoraTuningSpec.Builder clearHyperParameters()
       Optional. Hyperparameters for Veo LoRA.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

    • getHyperParametersBuilder

      public VeoHyperParameters.Builder getHyperParametersBuilder()
       Optional. Hyperparameters for Veo LoRA.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];

    • getHyperParametersOrBuilder

      public VeoHyperParametersOrBuilder getHyperParametersOrBuilder()
       Optional. Hyperparameters for Veo LoRA.
      .google.cloud.aiplatform.v1beta1.VeoHyperParameters hyper_parameters = 3 [(.google.api.field_behavior) = OPTIONAL];
      Specified by:
      getHyperParametersOrBuilder in interface VeoLoraTuningSpecOrBuilder