use of com.google.cloud.aiplatform.v1.ExportModelOperationMetadata in project java-aiplatform by googleapis.
the class ExportModelSample method exportModelSample.
static void exportModelSample(String project, String modelId, String gcsDestinationOutputUriPrefix, String exportFormat) throws IOException, InterruptedException, ExecutionException, TimeoutException {
ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
// the "close" method on the client to safely clean up any remaining background resources.
try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
String location = "us-central1";
GcsDestination.Builder gcsDestination = GcsDestination.newBuilder();
gcsDestination.setOutputUriPrefix(gcsDestinationOutputUriPrefix);
ModelName modelName = ModelName.of(project, location, modelId);
ExportModelRequest.OutputConfig outputConfig = ExportModelRequest.OutputConfig.newBuilder().setExportFormatId(exportFormat).setArtifactDestination(gcsDestination).build();
OperationFuture<ExportModelResponse, ExportModelOperationMetadata> exportModelResponseFuture = modelServiceClient.exportModelAsync(modelName, outputConfig);
System.out.format("Operation name: %s\n", exportModelResponseFuture.getInitialFuture().get().getName());
System.out.println("Waiting for operation to finish...");
ExportModelResponse exportModelResponse = exportModelResponseFuture.get(300, TimeUnit.SECONDS);
System.out.format("Export Model Response: %s\n", exportModelResponse);
}
}
use of com.google.cloud.aiplatform.v1.ExportModelOperationMetadata in project java-aiplatform by googleapis.
the class ExportModelTabularClassificationSample method exportModelTableClassification.
static void exportModelTableClassification(String gcsDestinationOutputUriPrefix, String project, String modelId) throws IOException, ExecutionException, InterruptedException, TimeoutException {
ModelServiceSettings modelServiceSettings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
// the "close" method on the client to safely clean up any remaining background resources.
try (ModelServiceClient modelServiceClient = ModelServiceClient.create(modelServiceSettings)) {
String location = "us-central1";
ModelName modelName = ModelName.of(project, location, modelId);
GcsDestination.Builder gcsDestination = GcsDestination.newBuilder();
gcsDestination.setOutputUriPrefix(gcsDestinationOutputUriPrefix);
ExportModelRequest.OutputConfig outputConfig = ExportModelRequest.OutputConfig.newBuilder().setExportFormatId("tf-saved-model").setArtifactDestination(gcsDestination).build();
OperationFuture<ExportModelResponse, ExportModelOperationMetadata> exportModelResponseFuture = modelServiceClient.exportModelAsync(modelName, outputConfig);
System.out.format("Operation name: %s\n", exportModelResponseFuture.getInitialFuture().get().getName());
System.out.println("Waiting for operation to finish...");
ExportModelResponse exportModelResponse = exportModelResponseFuture.get(300, TimeUnit.SECONDS);
System.out.format("Export Model Tabular Classification Response: %s", exportModelResponse.toString());
}
}
use of com.google.cloud.aiplatform.v1.ExportModelOperationMetadata in project java-aiplatform by googleapis.
the class ExportModelVideoActionRecognitionSample method exportModelVideoActionRecognitionSample.
static void exportModelVideoActionRecognitionSample(String project, String modelId, String gcsDestinationOutputUriPrefix, String exportFormat) throws IOException, ExecutionException, InterruptedException {
ModelServiceSettings settings = ModelServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
String location = "us-central1";
// the "close" method on the client to safely clean up any remaining background resources.
try (ModelServiceClient client = ModelServiceClient.create(settings)) {
GcsDestination gcsDestination = GcsDestination.newBuilder().setOutputUriPrefix(gcsDestinationOutputUriPrefix).build();
ExportModelRequest.OutputConfig outputConfig = ExportModelRequest.OutputConfig.newBuilder().setArtifactDestination(gcsDestination).setExportFormatId(exportFormat).build();
ModelName name = ModelName.of(project, location, modelId);
OperationFuture<ExportModelResponse, ExportModelOperationMetadata> response = client.exportModelAsync(name, outputConfig);
// You can use OperationFuture.getInitialFuture to get a future representing the initial
// response to the request, which contains information while the operation is in progress.
System.out.format("Operation name: %s\n", response.getInitialFuture().get().getName());
// OperationFuture.get() will block until the operation is finished.
ExportModelResponse exportModelResponse = response.get();
System.out.format("exportModelResponse: %s\n", exportModelResponse);
}
}
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