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CreateBatchPredictionJobSample.java
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/*
* Copyright 2021 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package aiplatform;
// [START aiplatform_create_batch_prediction_job_sample]
import com.google.cloud.aiplatform.util.ValueConverter;
import com.google.cloud.aiplatform.v1.AcceleratorType;
import com.google.cloud.aiplatform.v1.BatchDedicatedResources;
import com.google.cloud.aiplatform.v1.BatchPredictionJob;
import com.google.cloud.aiplatform.v1.GcsDestination;
import com.google.cloud.aiplatform.v1.GcsSource;
import com.google.cloud.aiplatform.v1.JobServiceClient;
import com.google.cloud.aiplatform.v1.JobServiceSettings;
import com.google.cloud.aiplatform.v1.LocationName;
import com.google.cloud.aiplatform.v1.MachineSpec;
import com.google.cloud.aiplatform.v1.ModelName;
import com.google.protobuf.Value;
import java.io.IOException;
public class CreateBatchPredictionJobSample {
public static void main(String[] args) throws IOException {
// TODO(developer): Replace these variables before running the sample.
String project = "PROJECT";
String displayName = "DISPLAY_NAME";
String modelName = "MODEL_NAME";
String instancesFormat = "INSTANCES_FORMAT";
String gcsSourceUri = "GCS_SOURCE_URI";
String predictionsFormat = "PREDICTIONS_FORMAT";
String gcsDestinationOutputUriPrefix = "GCS_DESTINATION_OUTPUT_URI_PREFIX";
createBatchPredictionJobSample(
project,
displayName,
modelName,
instancesFormat,
gcsSourceUri,
predictionsFormat,
gcsDestinationOutputUriPrefix);
}
static void createBatchPredictionJobSample(
String project,
String displayName,
String model,
String instancesFormat,
String gcsSourceUri,
String predictionsFormat,
String gcsDestinationOutputUriPrefix)
throws IOException {
JobServiceSettings settings =
JobServiceSettings.newBuilder()
.setEndpoint("us-central1-aiplatform.googleapis.com:443")
.build();
String location = "us-central1";
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (JobServiceClient client = JobServiceClient.create(settings)) {
// Passing in an empty Value object for model parameters
Value modelParameters = ValueConverter.EMPTY_VALUE;
GcsSource gcsSource = GcsSource.newBuilder().addUris(gcsSourceUri).build();
BatchPredictionJob.InputConfig inputConfig =
BatchPredictionJob.InputConfig.newBuilder()
.setInstancesFormat(instancesFormat)
.setGcsSource(gcsSource)
.build();
GcsDestination gcsDestination =
GcsDestination.newBuilder().setOutputUriPrefix(gcsDestinationOutputUriPrefix).build();
BatchPredictionJob.OutputConfig outputConfig =
BatchPredictionJob.OutputConfig.newBuilder()
.setPredictionsFormat(predictionsFormat)
.setGcsDestination(gcsDestination)
.build();
MachineSpec machineSpec =
MachineSpec.newBuilder()
.setMachineType("n1-standard-2")
.setAcceleratorType(AcceleratorType.NVIDIA_TESLA_K80)
.setAcceleratorCount(1)
.build();
BatchDedicatedResources dedicatedResources =
BatchDedicatedResources.newBuilder()
.setMachineSpec(machineSpec)
.setStartingReplicaCount(1)
.setMaxReplicaCount(1)
.build();
String modelName = ModelName.of(project, location, model).toString();
BatchPredictionJob batchPredictionJob =
BatchPredictionJob.newBuilder()
.setDisplayName(displayName)
.setModel(modelName)
.setModelParameters(modelParameters)
.setInputConfig(inputConfig)
.setOutputConfig(outputConfig)
.setDedicatedResources(dedicatedResources)
.build();
LocationName parent = LocationName.of(project, location);
BatchPredictionJob response = client.createBatchPredictionJob(parent, batchPredictionJob);
System.out.format("response: %s\n", response);
System.out.format("\tName: %s\n", response.getName());
}
}
}
// [END aiplatform_create_batch_prediction_job_sample]