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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.submarine.server.submitter.k8s.model.mljob;
import org.apache.submarine.server.api.exception.InvalidSpecException;
import org.apache.submarine.server.api.spec.ExperimentMeta;
import org.apache.submarine.server.api.spec.ExperimentSpec;
import org.apache.submarine.server.submitter.k8s.model.pytorchjob.PyTorchJob;
import org.apache.submarine.server.submitter.k8s.model.tfjob.TFJob;
import org.apache.submarine.server.submitter.k8s.model.xgboostjob.XGBoostJob;
/**
* Select different MLJob implementation classes according to different framework
*/
public class MLJobFactory {
/**
* Get MLJob by framework name
*/
public static MLJob getMLJob(ExperimentSpec experimentSpec) {
String frameworkName = experimentSpec.getMeta().getFramework();
ExperimentMeta.SupportedMLFramework framework = ExperimentMeta.SupportedMLFramework
.valueOfName(frameworkName);
switch (framework) {
case TENSORFLOW:
return new TFJob(experimentSpec);
case PYTORCH:
return new PyTorchJob(experimentSpec);
case XGBOOST:
return new XGBoostJob(experimentSpec);
default:
throw new InvalidSpecException("Unsupported framework name: " + frameworkName +
". Supported frameworks are: " +
String.join(",", ExperimentMeta.SupportedMLFramework.names()));
}
}
}