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feat: [aiplatform] add service_networking.proto to aiplatform v1 (#9073)
* feat: add service_networking.proto to aiplatform v1 feat: add private_service_connect_config to IndexEndpoint in aiplatform v1 index_endpoint.proto feat: add nas_job.proto to aiplatform v1 feat: add CreateNasJob, GetNasJob, ListNasJobs, DeleteNasJob, CancelNasJob, GetNasTrialDetail, ListNasTrialDetails RPCs to aiplatform v1 job_service.proto feat: add original_model_info to Model in aiplatform v1 model.proto feat: add CopyModel RPC to aiplatform v1 model_service.proto feat: add failed_jobs to CustomJobDetail to aiplatform v1 pipeline_job.proto feat: add safety_config to StudySpec in aiplatform v1 study.proto PiperOrigin-RevId: 506776605 Source-Link: googleapis/googleapis@c7c17c0 Source-Link: https://github.com/googleapis/googleapis-gen/commit/d5217761a0cf1fc6bf240021d481eb9d70ca376a Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiJkNTIxNzc2MWEwY2YxZmM2YmYyNDAwMjFkNDgxZWI5ZDcwY2EzNzZhIn0= feat: add disable_explanations to DeployedModel in aiplatform v1beta1 endpoint.proto feat: add service_networking.proto to aiplatform v1beta1 feat: add private_service_connect_config to IndexEndpoint in aiplatform v1beta1 index_endpoint.proto feat: add nas_job.proto to aiplatform v1beta1 feat: add CreateNasJob, GetNasJob, ListNasJobs, DeleteNasJob, CancelNasJob, GetNasTrialDetail, ListNasTrialDetails RPCs to aiplatform v1beta1 job_service.proto feat: add original_model_info to Model in aiplatform v1beta1 model.proto feat: add CopyModel RPC to aiplatform v1beta1 model_service.proto feat: add failed_jobs to CustomJobDetail to aiplatform v1beta1 pipeline_job.proto feat: add safety_config to StudySpec in aiplatform v1beta1 study.proto PiperOrigin-RevId: 506776591 Source-Link: googleapis/googleapis@a33b408 Source-Link: https://github.com/googleapis/googleapis-gen/commit/e15a8ce6c9181b2590358a8b01809859e020d792 Copy-Tag: eyJwIjoiamF2YS1haXBsYXRmb3JtLy5Pd2xCb3QueWFtbCIsImgiOiJlMTVhOGNlNmM5MTgxYjI1OTAzNThhOGIwMTgwOTg1OWUwMjBkNzkyIn0= * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md --------- Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
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‎java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceClient.java‎

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‎java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceSettings.java‎

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import static com.google.cloud.aiplatform.v1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
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import static com.google.cloud.aiplatform.v1.JobServiceClient.ListLocationsPagedResponse;
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import static com.google.cloud.aiplatform.v1.JobServiceClient.ListModelDeploymentMonitoringJobsPagedResponse;
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import static com.google.cloud.aiplatform.v1.JobServiceClient.ListNasJobsPagedResponse;
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import static com.google.cloud.aiplatform.v1.JobServiceClient.ListNasTrialDetailsPagedResponse;
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import static com.google.cloud.aiplatform.v1.JobServiceClient.SearchModelDeploymentMonitoringStatsAnomaliesPagedResponse;
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import com.google.api.core.ApiFunction;
@@ -202,6 +204,50 @@ public UnaryCallSettings<CancelDataLabelingJobRequest, Empty> cancelDataLabeling
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return ((JobServiceStubSettings) getStubSettings()).cancelHyperparameterTuningJobSettings();
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}
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/** Returns the object with the settings used for calls to createNasJob. */
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public UnaryCallSettings<CreateNasJobRequest, NasJob> createNasJobSettings() {
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return ((JobServiceStubSettings) getStubSettings()).createNasJobSettings();
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}
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/** Returns the object with the settings used for calls to getNasJob. */
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public UnaryCallSettings<GetNasJobRequest, NasJob> getNasJobSettings() {
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return ((JobServiceStubSettings) getStubSettings()).getNasJobSettings();
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}
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/** Returns the object with the settings used for calls to listNasJobs. */
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public PagedCallSettings<ListNasJobsRequest, ListNasJobsResponse, ListNasJobsPagedResponse>
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listNasJobsSettings() {
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return ((JobServiceStubSettings) getStubSettings()).listNasJobsSettings();
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}
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/** Returns the object with the settings used for calls to deleteNasJob. */
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public UnaryCallSettings<DeleteNasJobRequest, Operation> deleteNasJobSettings() {
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return ((JobServiceStubSettings) getStubSettings()).deleteNasJobSettings();
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}
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/** Returns the object with the settings used for calls to deleteNasJob. */
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public OperationCallSettings<DeleteNasJobRequest, Empty, DeleteOperationMetadata>
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deleteNasJobOperationSettings() {
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return ((JobServiceStubSettings) getStubSettings()).deleteNasJobOperationSettings();
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}
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/** Returns the object with the settings used for calls to cancelNasJob. */
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public UnaryCallSettings<CancelNasJobRequest, Empty> cancelNasJobSettings() {
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return ((JobServiceStubSettings) getStubSettings()).cancelNasJobSettings();
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}
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/** Returns the object with the settings used for calls to getNasTrialDetail. */
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public UnaryCallSettings<GetNasTrialDetailRequest, NasTrialDetail> getNasTrialDetailSettings() {
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return ((JobServiceStubSettings) getStubSettings()).getNasTrialDetailSettings();
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}
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/** Returns the object with the settings used for calls to listNasTrialDetails. */
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public PagedCallSettings<
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ListNasTrialDetailsRequest, ListNasTrialDetailsResponse, ListNasTrialDetailsPagedResponse>
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listNasTrialDetailsSettings() {
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return ((JobServiceStubSettings) getStubSettings()).listNasTrialDetailsSettings();
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}
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/** Returns the object with the settings used for calls to createBatchPredictionJob. */
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public UnaryCallSettings<CreateBatchPredictionJobRequest, BatchPredictionJob>
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createBatchPredictionJobSettings() {
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return getStubSettingsBuilder().cancelHyperparameterTuningJobSettings();
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}
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/** Returns the builder for the settings used for calls to createNasJob. */
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public UnaryCallSettings.Builder<CreateNasJobRequest, NasJob> createNasJobSettings() {
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return getStubSettingsBuilder().createNasJobSettings();
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}
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/** Returns the builder for the settings used for calls to getNasJob. */
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public UnaryCallSettings.Builder<GetNasJobRequest, NasJob> getNasJobSettings() {
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return getStubSettingsBuilder().getNasJobSettings();
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}
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/** Returns the builder for the settings used for calls to listNasJobs. */
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public PagedCallSettings.Builder<
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ListNasJobsRequest, ListNasJobsResponse, ListNasJobsPagedResponse>
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listNasJobsSettings() {
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return getStubSettingsBuilder().listNasJobsSettings();
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}
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/** Returns the builder for the settings used for calls to deleteNasJob. */
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public UnaryCallSettings.Builder<DeleteNasJobRequest, Operation> deleteNasJobSettings() {
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return getStubSettingsBuilder().deleteNasJobSettings();
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}
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/** Returns the builder for the settings used for calls to deleteNasJob. */
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public OperationCallSettings.Builder<DeleteNasJobRequest, Empty, DeleteOperationMetadata>
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deleteNasJobOperationSettings() {
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return getStubSettingsBuilder().deleteNasJobOperationSettings();
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}
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/** Returns the builder for the settings used for calls to cancelNasJob. */
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public UnaryCallSettings.Builder<CancelNasJobRequest, Empty> cancelNasJobSettings() {
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return getStubSettingsBuilder().cancelNasJobSettings();
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}
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/** Returns the builder for the settings used for calls to getNasTrialDetail. */
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public UnaryCallSettings.Builder<GetNasTrialDetailRequest, NasTrialDetail>
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getNasTrialDetailSettings() {
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return getStubSettingsBuilder().getNasTrialDetailSettings();
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}
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/** Returns the builder for the settings used for calls to listNasTrialDetails. */
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public PagedCallSettings.Builder<
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ListNasTrialDetailsRequest,
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ListNasTrialDetailsResponse,
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ListNasTrialDetailsPagedResponse>
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listNasTrialDetailsSettings() {
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return getStubSettingsBuilder().listNasTrialDetailsSettings();
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}
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/** Returns the builder for the settings used for calls to createBatchPredictionJob. */
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public UnaryCallSettings.Builder<CreateBatchPredictionJobRequest, BatchPredictionJob>
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createBatchPredictionJobSettings() {

‎java-aiplatform/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/ModelServiceClient.java‎

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@@ -1550,6 +1550,255 @@ public final UnaryCallable<ExportModelRequest, Operation> exportModelCallable()
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return stub.exportModelCallable();
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}
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// AUTO-GENERATED DOCUMENTATION AND METHOD.
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/**
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* Copies an already existing Vertex AI Model into the specified Location. The source Model must
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* exist in the same Project. When copying custom Models, the users themselves are responsible for
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* [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
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* well as making sure that any resources (e.g. files) it depends on remain accessible.
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*
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* <p>Sample code:
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*
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* <pre>{@code
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* // This snippet has been automatically generated and should be regarded as a code template only.
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* // It will require modifications to work:
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* // - It may require correct/in-range values for request initialization.
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* // - It may require specifying regional endpoints when creating the service client as shown in
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* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
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* try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
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* LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
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* ModelName sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
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* CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
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* }
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* }</pre>
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*
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* @param parent Required. The resource name of the Location into which to copy the Model. Format:
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* `projects/{project}/locations/{location}`
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* @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
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* same Project. Format: `projects/{project}/locations/{location}/models/{model}`
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* @throws com.google.api.gax.rpc.ApiException if the remote call fails
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*/
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public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
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LocationName parent, ModelName sourceModel) {
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CopyModelRequest request =
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CopyModelRequest.newBuilder()
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.setParent(parent == null ? null : parent.toString())
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.setSourceModel(sourceModel == null ? null : sourceModel.toString())
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.build();
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return copyModelAsync(request);
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}
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// AUTO-GENERATED DOCUMENTATION AND METHOD.
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/**
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* Copies an already existing Vertex AI Model into the specified Location. The source Model must
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* exist in the same Project. When copying custom Models, the users themselves are responsible for
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* [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
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* well as making sure that any resources (e.g. files) it depends on remain accessible.
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*
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* <p>Sample code:
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*
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* <pre>{@code
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* // This snippet has been automatically generated and should be regarded as a code template only.
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* // It will require modifications to work:
1603+
* // - It may require correct/in-range values for request initialization.
1604+
* // - It may require specifying regional endpoints when creating the service client as shown in
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* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
1606+
* try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
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* LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
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* String sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
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* CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
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* }
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* }</pre>
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*
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* @param parent Required. The resource name of the Location into which to copy the Model. Format:
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* `projects/{project}/locations/{location}`
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* @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
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* same Project. Format: `projects/{project}/locations/{location}/models/{model}`
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* @throws com.google.api.gax.rpc.ApiException if the remote call fails
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*/
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public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
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LocationName parent, String sourceModel) {
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CopyModelRequest request =
1622+
CopyModelRequest.newBuilder()
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.setParent(parent == null ? null : parent.toString())
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.setSourceModel(sourceModel)
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.build();
1626+
return copyModelAsync(request);
1627+
}
1628+
1629+
// AUTO-GENERATED DOCUMENTATION AND METHOD.
1630+
/**
1631+
* Copies an already existing Vertex AI Model into the specified Location. The source Model must
1632+
* exist in the same Project. When copying custom Models, the users themselves are responsible for
1633+
* [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
1634+
* well as making sure that any resources (e.g. files) it depends on remain accessible.
1635+
*
1636+
* <p>Sample code:
1637+
*
1638+
* <pre>{@code
1639+
* // This snippet has been automatically generated and should be regarded as a code template only.
1640+
* // It will require modifications to work:
1641+
* // - It may require correct/in-range values for request initialization.
1642+
* // - It may require specifying regional endpoints when creating the service client as shown in
1643+
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
1644+
* try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
1645+
* String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
1646+
* ModelName sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
1647+
* CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
1648+
* }
1649+
* }</pre>
1650+
*
1651+
* @param parent Required. The resource name of the Location into which to copy the Model. Format:
1652+
* `projects/{project}/locations/{location}`
1653+
* @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
1654+
* same Project. Format: `projects/{project}/locations/{location}/models/{model}`
1655+
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
1656+
*/
1657+
public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
1658+
String parent, ModelName sourceModel) {
1659+
CopyModelRequest request =
1660+
CopyModelRequest.newBuilder()
1661+
.setParent(parent)
1662+
.setSourceModel(sourceModel == null ? null : sourceModel.toString())
1663+
.build();
1664+
return copyModelAsync(request);
1665+
}
1666+
1667+
// AUTO-GENERATED DOCUMENTATION AND METHOD.
1668+
/**
1669+
* Copies an already existing Vertex AI Model into the specified Location. The source Model must
1670+
* exist in the same Project. When copying custom Models, the users themselves are responsible for
1671+
* [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
1672+
* well as making sure that any resources (e.g. files) it depends on remain accessible.
1673+
*
1674+
* <p>Sample code:
1675+
*
1676+
* <pre>{@code
1677+
* // This snippet has been automatically generated and should be regarded as a code template only.
1678+
* // It will require modifications to work:
1679+
* // - It may require correct/in-range values for request initialization.
1680+
* // - It may require specifying regional endpoints when creating the service client as shown in
1681+
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
1682+
* try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
1683+
* String parent = LocationName.of("[PROJECT]", "[LOCATION]").toString();
1684+
* String sourceModel = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString();
1685+
* CopyModelResponse response = modelServiceClient.copyModelAsync(parent, sourceModel).get();
1686+
* }
1687+
* }</pre>
1688+
*
1689+
* @param parent Required. The resource name of the Location into which to copy the Model. Format:
1690+
* `projects/{project}/locations/{location}`
1691+
* @param sourceModel Required. The resource name of the Model to copy. That Model must be in the
1692+
* same Project. Format: `projects/{project}/locations/{location}/models/{model}`
1693+
* @throws com.google.api.gax.rpc.ApiException if the remote call fails
1694+
*/
1695+
public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
1696+
String parent, String sourceModel) {
1697+
CopyModelRequest request =
1698+
CopyModelRequest.newBuilder().setParent(parent).setSourceModel(sourceModel).build();
1699+
return copyModelAsync(request);
1700+
}
1701+
1702+
// AUTO-GENERATED DOCUMENTATION AND METHOD.
1703+
/**
1704+
* Copies an already existing Vertex AI Model into the specified Location. The source Model must
1705+
* exist in the same Project. When copying custom Models, the users themselves are responsible for
1706+
* [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
1707+
* well as making sure that any resources (e.g. files) it depends on remain accessible.
1708+
*
1709+
* <p>Sample code:
1710+
*
1711+
* <pre>{@code
1712+
* // This snippet has been automatically generated and should be regarded as a code template only.
1713+
* // It will require modifications to work:
1714+
* // - It may require correct/in-range values for request initialization.
1715+
* // - It may require specifying regional endpoints when creating the service client as shown in
1716+
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
1717+
* try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
1718+
* CopyModelRequest request =
1719+
* CopyModelRequest.newBuilder()
1720+
* .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
1721+
* .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
1722+
* .setEncryptionSpec(EncryptionSpec.newBuilder().build())
1723+
* .build();
1724+
* CopyModelResponse response = modelServiceClient.copyModelAsync(request).get();
1725+
* }
1726+
* }</pre>
1727+
*
1728+
* @param request The request object containing all of the parameters for the API call.
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* @throws com.google.api.gax.rpc.ApiException if the remote call fails
1730+
*/
1731+
public final OperationFuture<CopyModelResponse, CopyModelOperationMetadata> copyModelAsync(
1732+
CopyModelRequest request) {
1733+
return copyModelOperationCallable().futureCall(request);
1734+
}
1735+
1736+
// AUTO-GENERATED DOCUMENTATION AND METHOD.
1737+
/**
1738+
* Copies an already existing Vertex AI Model into the specified Location. The source Model must
1739+
* exist in the same Project. When copying custom Models, the users themselves are responsible for
1740+
* [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
1741+
* well as making sure that any resources (e.g. files) it depends on remain accessible.
1742+
*
1743+
* <p>Sample code:
1744+
*
1745+
* <pre>{@code
1746+
* // This snippet has been automatically generated and should be regarded as a code template only.
1747+
* // It will require modifications to work:
1748+
* // - It may require correct/in-range values for request initialization.
1749+
* // - It may require specifying regional endpoints when creating the service client as shown in
1750+
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
1751+
* try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
1752+
* CopyModelRequest request =
1753+
* CopyModelRequest.newBuilder()
1754+
* .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
1755+
* .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
1756+
* .setEncryptionSpec(EncryptionSpec.newBuilder().build())
1757+
* .build();
1758+
* OperationFuture<CopyModelResponse, CopyModelOperationMetadata> future =
1759+
* modelServiceClient.copyModelOperationCallable().futureCall(request);
1760+
* // Do something.
1761+
* CopyModelResponse response = future.get();
1762+
* }
1763+
* }</pre>
1764+
*/
1765+
public final OperationCallable<CopyModelRequest, CopyModelResponse, CopyModelOperationMetadata>
1766+
copyModelOperationCallable() {
1767+
return stub.copyModelOperationCallable();
1768+
}
1769+
1770+
// AUTO-GENERATED DOCUMENTATION AND METHOD.
1771+
/**
1772+
* Copies an already existing Vertex AI Model into the specified Location. The source Model must
1773+
* exist in the same Project. When copying custom Models, the users themselves are responsible for
1774+
* [Model.metadata][google.cloud.aiplatform.v1.Model.metadata] content to be region-agnostic, as
1775+
* well as making sure that any resources (e.g. files) it depends on remain accessible.
1776+
*
1777+
* <p>Sample code:
1778+
*
1779+
* <pre>{@code
1780+
* // This snippet has been automatically generated and should be regarded as a code template only.
1781+
* // It will require modifications to work:
1782+
* // - It may require correct/in-range values for request initialization.
1783+
* // - It may require specifying regional endpoints when creating the service client as shown in
1784+
* // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
1785+
* try (ModelServiceClient modelServiceClient = ModelServiceClient.create()) {
1786+
* CopyModelRequest request =
1787+
* CopyModelRequest.newBuilder()
1788+
* .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
1789+
* .setSourceModel(ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]").toString())
1790+
* .setEncryptionSpec(EncryptionSpec.newBuilder().build())
1791+
* .build();
1792+
* ApiFuture<Operation> future = modelServiceClient.copyModelCallable().futureCall(request);
1793+
* // Do something.
1794+
* Operation response = future.get();
1795+
* }
1796+
* }</pre>
1797+
*/
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public final UnaryCallable<CopyModelRequest, Operation> copyModelCallable() {
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return stub.copyModelCallable();
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}
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// AUTO-GENERATED DOCUMENTATION AND METHOD.
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/**
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* Imports an externally generated ModelEvaluation.

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