com.google.cloud.aiplatform.v1beta1

Interface DistillationSpecOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

DistillationSpec, DistillationSpec.Builder

public interface DistillationSpecOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getBaseTeacherModel() The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
com.google.protobuf.ByteString	getBaseTeacherModelBytes() The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
DistillationHyperParameters	getHyperParameters() Optional.
DistillationHyperParametersOrBuilder	getHyperParametersOrBuilder() Optional.
String	getPipelineRootDirectory() Required.
com.google.protobuf.ByteString	getPipelineRootDirectoryBytes() Required.
String	getStudentModel() The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
com.google.protobuf.ByteString	getStudentModelBytes() The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
DistillationSpec.TeacherModelCase	getTeacherModelCase()
String	getTrainingDatasetUri() Required.
com.google.protobuf.ByteString	getTrainingDatasetUriBytes() Required.
String	getTunedTeacherModelSource() The resource name of the Tuned teacher model.
com.google.protobuf.ByteString	getTunedTeacherModelSourceBytes() The resource name of the Tuned teacher model.
String	getValidationDatasetUri() Optional.
com.google.protobuf.ByteString	getValidationDatasetUriBytes() Optional.
boolean	hasBaseTeacherModel() The base teacher model that is being distilled, e.g., "gemini-1.0-pro-002".
boolean	hasHyperParameters() Optional.
boolean	hasTunedTeacherModelSource() The resource name of the Tuned teacher model.
boolean	hasValidationDatasetUri() Optional.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasBaseTeacherModel

boolean hasBaseTeacherModel()

 The base teacher model that is being distilled, e.g.,
 "gemini-1.0-pro-002".
 

string base_teacher_model = 5;

Returns:

Whether the baseTeacherModel field is set.

getBaseTeacherModel

String getBaseTeacherModel()

 The base teacher model that is being distilled, e.g.,
 "gemini-1.0-pro-002".
 

string base_teacher_model = 5;

Returns:

The baseTeacherModel.

getBaseTeacherModelBytes

com.google.protobuf.ByteString getBaseTeacherModelBytes()

 The base teacher model that is being distilled, e.g.,
 "gemini-1.0-pro-002".
 

string base_teacher_model = 5;

Returns:

The bytes for baseTeacherModel.

hasTunedTeacherModelSource

boolean hasTunedTeacherModelSource()

 The resource name of the Tuned teacher model. Format:
 `projects/{project}/locations/{location}/models/{model}`.
 

string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }

Returns:

Whether the tunedTeacherModelSource field is set.

getTunedTeacherModelSource

String getTunedTeacherModelSource()

 The resource name of the Tuned teacher model. Format:
 `projects/{project}/locations/{location}/models/{model}`.
 

string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }

Returns:

The tunedTeacherModelSource.

getTunedTeacherModelSourceBytes

com.google.protobuf.ByteString getTunedTeacherModelSourceBytes()

 The resource name of the Tuned teacher model. Format:
 `projects/{project}/locations/{location}/models/{model}`.
 

string tuned_teacher_model_source = 6 [(.google.api.resource_reference) = { ... }

Returns:

The bytes for tunedTeacherModelSource.

getTrainingDatasetUri

String getTrainingDatasetUri()

 Required. Cloud Storage path to file containing training dataset for
 tuning. The dataset must be formatted as a JSONL file.
 

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

Returns:

The trainingDatasetUri.

getTrainingDatasetUriBytes

com.google.protobuf.ByteString getTrainingDatasetUriBytes()

 Required. Cloud Storage path to file containing training dataset for
 tuning. The dataset must be formatted as a JSONL file.
 

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

Returns:

The bytes for trainingDatasetUri.

hasValidationDatasetUri

boolean hasValidationDatasetUri()

 Optional. Cloud Storage path to file containing validation dataset for
 tuning. The dataset must be formatted as a JSONL file.
 

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

Returns:

Whether the validationDatasetUri field is set.

getValidationDatasetUri

String getValidationDatasetUri()

 Optional. Cloud Storage path to file containing validation dataset for
 tuning. The dataset must be formatted as a JSONL file.
 

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

Returns:

The validationDatasetUri.

getValidationDatasetUriBytes

com.google.protobuf.ByteString getValidationDatasetUriBytes()

 Optional. Cloud Storage path to file containing validation dataset for
 tuning. The dataset must be formatted as a JSONL file.
 

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

Returns:

The bytes for validationDatasetUri.

hasHyperParameters

boolean hasHyperParameters()

 Optional. Hyperparameters for Distillation.
 

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

Returns:

Whether the hyperParameters field is set.

getHyperParameters

DistillationHyperParameters getHyperParameters()

 Optional. Hyperparameters for Distillation.
 

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

Returns:

The hyperParameters.

getHyperParametersOrBuilder

DistillationHyperParametersOrBuilder getHyperParametersOrBuilder()

 Optional. Hyperparameters for Distillation.
 

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

getStudentModel

String getStudentModel()

 The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
 

string student_model = 4;

Returns:

The studentModel.

getStudentModelBytes

com.google.protobuf.ByteString getStudentModelBytes()

 The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".
 

string student_model = 4;

Returns:

The bytes for studentModel.

getPipelineRootDirectory

String getPipelineRootDirectory()

 Required. A path in a Cloud Storage bucket, which will be treated as the
 root output directory of the distillation pipeline. It is used by the
 system to generate the paths of output artifacts.
 

string pipeline_root_directory = 7 [(.google.api.field_behavior) = REQUIRED];

Returns:

The pipelineRootDirectory.

getPipelineRootDirectoryBytes

com.google.protobuf.ByteString getPipelineRootDirectoryBytes()

 Required. A path in a Cloud Storage bucket, which will be treated as the
 root output directory of the distillation pipeline. It is used by the
 system to generate the paths of output artifacts.
 

string pipeline_root_directory = 7 [(.google.api.field_behavior) = REQUIRED];

Returns:

The bytes for pipelineRootDirectory.

getTeacherModelCase

DistillationSpec.TeacherModelCase getTeacherModelCase()