WeightedDivMMR.java

/*
 * 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.lops;

import org.apache.sysml.lops.LopProperties.ExecLocation;
import org.apache.sysml.lops.LopProperties.ExecType;
import org.apache.sysml.lops.WeightedDivMM.WDivMMType;
import org.apache.sysml.lops.compile.JobType;
import org.apache.sysml.parser.Expression.DataType;
import org.apache.sysml.parser.Expression.ValueType;

public class WeightedDivMMR extends Lop 
{
	public static final String OPCODE = "redwdivmm";
	
	private WDivMMType _weightsType = null;
	private boolean _cacheU = false;
	private boolean _cacheV = false;
	
	public WeightedDivMMR(Lop input1, Lop input2, Lop input3, Lop input4, DataType dt, ValueType vt, WDivMMType wt, boolean cacheU, boolean cacheV, ExecType et) 
		throws LopsException 
	{
		super(Lop.Type.WeightedDivMM, dt, vt);		
		addInput(input1); //W
		addInput(input2); //U
		addInput(input3); //V
		addInput(input4); //X
		input1.addOutput(this); 
		input2.addOutput(this);
		input3.addOutput(this);
		input4.addOutput(this);	
		
		_weightsType = wt;
		_cacheU = cacheU;
		_cacheV = cacheV;
		setupLopProperties(et);
	}
	
	private void setupLopProperties( ExecType et ) 
		throws LopsException
	{
		if( et == ExecType.MR )
		{
			//setup MR parameters 
			boolean breaksAlignment = true;
			boolean aligner = false;
			boolean definesMRJob = false;
			lps.addCompatibility(JobType.GMR);
			lps.addCompatibility(JobType.DATAGEN);
			lps.setProperties( inputs, ExecType.MR, ExecLocation.Reduce, breaksAlignment, aligner, definesMRJob );
		}
		else //Spark/CP
		{
			//setup Spark parameters 
			boolean breaksAlignment = false;
			boolean aligner = false;
			boolean definesMRJob = false;
			lps.addCompatibility(JobType.INVALID);
			lps.setProperties( inputs, et, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob );
		}
	}

	public String toString() {
		return "Operation = WeightedDivMMR";
	}
	
	/* MR instruction generation */
	@Override 
	public String getInstructions(int input1, int input2, int input3, int input4, int output)
	{
		return getInstructions(
				String.valueOf(input1), 
				String.valueOf(input2), 
				String.valueOf(input3),
				String.valueOf(input4),
				String.valueOf(output));
	}
	
	/* CP/SPARK instruction generation */
	@Override
	public String getInstructions(String input1, String input2, String input3, String input4, String output)
	{
		StringBuilder sb = new StringBuilder();
		
		final ExecType et = getExecType();
		
		sb.append(et);
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append(OPCODE);
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append( getInputs().get(0).prepInputOperand(input1));
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append( getInputs().get(1).prepInputOperand(input2));
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append( getInputs().get(2).prepInputOperand(input3));
		
		sb.append(Lop.OPERAND_DELIMITOR);
		if ( (et == ExecType.MR) && (getInputs().get(3).getDataType() == DataType.SCALAR) ) {
			sb.append( getInputs().get(3).prepScalarInputOperand(et));
		}
		else {
			sb.append( getInputs().get(3).prepInputOperand(input4));
		}
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append( prepOutputOperand(output));
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append(_weightsType);
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append(_cacheU);
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append(_cacheV);
		
		return sb.toString();
	}
	
	@Override
	public boolean usesDistributedCache() {
		return (_cacheU || _cacheV);
	}
	
	@Override
	public int[] distributedCacheInputIndex() 
	{
		if( !_cacheU && !_cacheV )
			return new int[]{-1};
		else if( _cacheU && !_cacheV )
			return new int[]{2};
		else if( !_cacheU && _cacheV )
			return new int[]{3};
		else
			return new int[]{2,3};
	}
}