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feat: add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService
docs: limit comment `SupervisedTuningSpec` for 1p tuning PiperOrigin-RevId: 676970579
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2 changed files with 79 additions and 1 deletions
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@ -20,7 +20,10 @@ import "google/api/annotations.proto";
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import "google/api/client.proto";
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import "google/api/field_behavior.proto";
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import "google/api/resource.proto";
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import "google/cloud/aiplatform/v1beta1/io.proto";
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import "google/cloud/aiplatform/v1beta1/operation.proto";
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import "google/cloud/aiplatform/v1beta1/tuning_job.proto";
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import "google/longrunning/operations.proto";
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import "google/protobuf/empty.proto";
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option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1";
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@ -82,6 +85,22 @@ service GenAiTuningService {
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};
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option (google.api.method_signature) = "name";
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}
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// Rebase a TunedModel.
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// Creates a LongRunningOperation that takes a legacy Tuned GenAI model
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// Reference and creates a TuningJob based on newly available model.
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rpc RebaseTunedModel(RebaseTunedModelRequest)
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returns (google.longrunning.Operation) {
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option (google.api.http) = {
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post: "/v1beta1/{parent=projects/*/locations/*}/tuningJobs:rebaseTunedModel"
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body: "*"
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};
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option (google.api.method_signature) = "parent,tuned_model_ref";
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option (google.longrunning.operation_info) = {
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response_type: "TuningJob"
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metadata_type: "RebaseTunedModelOperationMetadata"
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};
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}
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}
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// Request message for
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@ -162,3 +181,39 @@ message CancelTuningJobRequest {
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}
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];
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}
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// Request message for
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// [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1beta1.GenAiTuningService.RebaseTunedModel].
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message RebaseTunedModelRequest {
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// Required. The resource name of the Location into which to rebase the Model.
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// Format: `projects/{project}/locations/{location}`
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string parent = 1 [
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(google.api.field_behavior) = REQUIRED,
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(google.api.resource_reference) = {
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type: "locations.googleapis.com/Location"
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}
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];
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// Required. TunedModel reference to retrieve the legacy model information.
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TunedModelRef tuned_model_ref = 2 [(google.api.field_behavior) = REQUIRED];
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// Optional. The TuningJob to be updated. Users can use this TuningJob field
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// to overwrite tuning configs.
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TuningJob tuning_job = 3 [(google.api.field_behavior) = OPTIONAL];
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// Optional. The Google Cloud Storage location to write the artifacts.
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GcsDestination artifact_destination = 4
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[(google.api.field_behavior) = OPTIONAL];
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// Optional. By default, bison to gemini migration will always create new
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// model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default
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// deploy to the same endpoint. See details in this Section.
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bool deploy_to_same_endpoint = 5 [(google.api.field_behavior) = OPTIONAL];
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}
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// Runtime operation information for
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// [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1beta1.GenAiTuningService.RebaseTunedModel].
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message RebaseTunedModelOperationMetadata {
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// The common part of the operation generic information.
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GenericOperationMetadata generic_metadata = 1;
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}
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@ -384,7 +384,7 @@ message SupervisedHyperParameters {
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AdapterSize adapter_size = 3 [(google.api.field_behavior) = OPTIONAL];
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}
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// Tuning Spec for Supervised Tuning.
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// Tuning Spec for Supervised Tuning for first party models.
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message SupervisedTuningSpec {
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// Required. Cloud Storage path to file containing training dataset for
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// tuning. The dataset must be formatted as a JSONL file.
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@ -450,3 +450,26 @@ message DistillationHyperParameters {
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SupervisedHyperParameters.AdapterSize adapter_size = 3
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[(google.api.field_behavior) = OPTIONAL];
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}
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// TunedModel Reference for legacy model migration.
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message TunedModelRef {
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// The Tuned Model Reference for the model.
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oneof tuned_model_ref {
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// Support migration from model registry.
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string tuned_model = 1 [(google.api.resource_reference) = {
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type: "aiplatform.googleapis.com/Model"
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}];
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// Support migration from tuning job list page, from gemini-1.0-pro-002
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// to 1.5 and above.
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string tuning_job = 2 [(google.api.resource_reference) = {
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type: "aiplatform.googleapis.com/TuningJob"
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}];
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// Support migration from tuning job list page, from bison model to gemini
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// model.
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string pipeline_job = 3 [(google.api.resource_reference) = {
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type: "aiplatform.googleapis.com/PipelineJob"
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}];
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}
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}
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