WeightedDivMM.java

/**
 * (C) Copyright IBM Corp. 2010, 2015
 *
 * 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 com.ibm.bi.dml.lops;

import com.ibm.bi.dml.lops.LopProperties.ExecLocation;
import com.ibm.bi.dml.lops.LopProperties.ExecType;
import com.ibm.bi.dml.lops.compile.JobType;
import com.ibm.bi.dml.parser.Expression.DataType;
import com.ibm.bi.dml.parser.Expression.ValueType;
import com.ibm.bi.dml.runtime.matrix.MatrixCharacteristics;

/**
 * 
 */
public class WeightedDivMM extends Lop 
{
	public static final String OPCODE = "mapwdivmm";
	public static final String OPCODE_CP = "wdivmm";
	private int _numThreads = 1;

	public enum WDivMMType {
		DIV_LEFT,			//t(t(U) %*% (W / U%*%t(V)))
		DIV_RIGHT,			//(W / U%*%t(V)) %*% V
		MULT_BASIC,			//(W * U%*%t(V))
		MULT_LEFT,			//t(t(U) %*% (W * U%*%t(V)))
		MULT_RIGHT,			//(W * U%*%t(V)) %*% V
		MULT_MINUS_LEFT,	//t(t(U) %*% ((X!=0) * (U%*%t(V) - X)))
		MULT_MINUS_RIGHT;	//((X!=0) * (U%*%t(V) - X)) %*% V
		
		public boolean isBasic(){
			return (this == MULT_BASIC);
		}
		public boolean isLeft() {
			return (this == DIV_LEFT || this == MULT_LEFT || this == MULT_MINUS_LEFT);
		}
		public boolean isRight() {
			return !(isLeft() || isBasic());
		}
		public boolean isMult() {
			return (this == MULT_LEFT || this == MULT_RIGHT || this == MULT_MINUS_LEFT || this == MULT_MINUS_RIGHT);
		}		
		public boolean isMinus(){
			return (this == MULT_MINUS_LEFT || this == MULT_MINUS_RIGHT);
		}
		public MatrixCharacteristics computeOutputCharacteristics(long Xrlen, long Xclen, long rank) {
			if( isBasic() )
				return new MatrixCharacteristics( Xrlen, Xclen, -1, -1);
			else	
				return new MatrixCharacteristics(isLeft()?Xclen:Xrlen, rank, -1, -1);
		}
	}
	
	private WDivMMType _weightsType = null;
	
	public WeightedDivMM(Lop input1, Lop input2, Lop input3, DataType dt, ValueType vt, WDivMMType wt, ExecType et) 
		throws LopsException 
	{
		super(Lop.Type.WeightedDivMM, dt, vt);		
		addInput(input1); //W
		addInput(input2); //U
		addInput(input3); //V
		input1.addOutput(this); 
		input2.addOutput(this);
		input3.addOutput(this);

		_weightsType = wt;
		setupLopProperties(et);
	}
	
	/**
	 * 
	 * @param et
	 */
	private void setupLopProperties( ExecType et )
	{
		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.Map, 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 = WeightedDivMM";
	}
	
	/* MR instruction generation */
	@Override
	public String getInstructions(int input1, int input2, int input3, int output)
	{
		return getInstructions(
				String.valueOf(input1), 
				String.valueOf(input2), 
				String.valueOf(input3), 
				String.valueOf(output));
	}

	/* CP/SPARK instruction generation */
	@Override
	public String getInstructions(String input1, String input2, String input3, String output)
	{
		StringBuilder sb = new StringBuilder();
		
		sb.append(getExecType());
		
		sb.append(Lop.OPERAND_DELIMITOR);
		if( getExecType() == ExecType.CP )
			sb.append(OPCODE_CP);
		else
			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);
		sb.append( prepOutputOperand(output));
		
		sb.append(Lop.OPERAND_DELIMITOR);
		sb.append(_weightsType);
		
		//append degree of parallelism
		if( getExecType()==ExecType.CP ) {
			sb.append( OPERAND_DELIMITOR );
			sb.append( _numThreads );
		}
		
		return sb.toString();
	}
	
	@Override
	public boolean usesDistributedCache() 
	{
		if( getExecType()==ExecType.MR )
			return true;
		else
			return false;
	}
	
	@Override
	public int[] distributedCacheInputIndex() 
	{
		if( getExecType()==ExecType.MR )
			return new int[]{2,3};
		else
			return new int[]{-1};
	}
	
	public void setNumThreads(int k) {
		_numThreads = k;
	}
}