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Declarative Machine Learning

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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.sysml.hops.globalopt;

import org.apache.sysml.hops.HopsException;
import org.apache.sysml.hops.globalopt.gdfgraph.GDFGraph;
import org.apache.sysml.lops.LopsException;
import org.apache.sysml.runtime.DMLRuntimeException;

/**
 * Super class for all optimizers (e.g., transformation-based, and enumeration-based)
 * 
 */
public abstract class GlobalOptimizer 
{
	
	/**
	 * Core optimizer call, to be implemented by an instance of a global
	 * data flow optimizer.
	 * 
	 * @param gdfgraph the GDF graph
	 * @param summary the summaruy
	 * @return the GDF graph
	 * @throws DMLRuntimeException if DMLRuntimeException occurs
	 * @throws HopsException if HopsException occurs
	 * @throws LopsException if LopsException occurs
	 */
	public abstract GDFGraph optimize( GDFGraph gdfgraph, Summary summary )
		throws DMLRuntimeException, HopsException, LopsException;
}