CreateTrainingPipelineVideoActionRecognitionSample.java

/*
 * Copyright 2020 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_training_pipeline_video_action_recognition_sample]
import com.google.cloud.aiplatform.util.ValueConverter;
import com.google.cloud.aiplatform.v1.InputDataConfig;
import com.google.cloud.aiplatform.v1.LocationName;
import com.google.cloud.aiplatform.v1.Model;
import com.google.cloud.aiplatform.v1.PipelineServiceClient;
import com.google.cloud.aiplatform.v1.PipelineServiceSettings;
import com.google.cloud.aiplatform.v1.TrainingPipeline;
import com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs;
import com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType;
import java.io.IOException;

public class CreateTrainingPipelineVideoActionRecognitionSample {

  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 datasetId = "DATASET_ID";
    String modelDisplayName = "MODEL_DISPLAY_NAME";
    createTrainingPipelineVideoActionRecognitionSample(
        project, displayName, datasetId, modelDisplayName);
  }

  static void createTrainingPipelineVideoActionRecognitionSample(
      String project, String displayName, String datasetId, String modelDisplayName)
      throws IOException {
    PipelineServiceSettings settings =
        PipelineServiceSettings.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 (PipelineServiceClient client = PipelineServiceClient.create(settings)) {
      AutoMlVideoActionRecognitionInputs trainingTaskInputs =
          AutoMlVideoActionRecognitionInputs.newBuilder().setModelType(ModelType.CLOUD).build();

      InputDataConfig inputDataConfig =
          InputDataConfig.newBuilder().setDatasetId(datasetId).build();
      Model modelToUpload = Model.newBuilder().setDisplayName(modelDisplayName).build();
      TrainingPipeline trainingPipeline =
          TrainingPipeline.newBuilder()
              .setDisplayName(displayName)
              .setTrainingTaskDefinition(
                  "gs://google-cloud-aiplatform/schema/trainingjob/definition/"
                      + "automl_video_action_recognition_1.0.0.yaml")
              .setTrainingTaskInputs(ValueConverter.toValue(trainingTaskInputs))
              .setInputDataConfig(inputDataConfig)
              .setModelToUpload(modelToUpload)
              .build();
      LocationName parent = LocationName.of(project, location);
      TrainingPipeline response = client.createTrainingPipeline(parent, trainingPipeline);
      System.out.format("response: %s\n", response);
      System.out.format("Name: %s\n", response.getName());
    }
  }
}

// [END aiplatform_create_training_pipeline_video_action_recognition_sample]