org.apache.sysml.runtime.instructions.cp.AggregateTernaryCPInstruction Maven / Gradle / Ivy

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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.runtime.instructions.cp;

import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.DMLUnsupportedOperationException;
import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
import org.apache.sysml.runtime.functionobjects.KahanPlus;
import org.apache.sysml.runtime.functionobjects.Multiply;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.operators.AggregateBinaryOperator;
import org.apache.sysml.runtime.matrix.operators.AggregateOperator;
import org.apache.sysml.runtime.matrix.operators.Operator;

public class AggregateTernaryCPInstruction extends ComputationCPInstruction
{
	public AggregateTernaryCPInstruction(Operator op, CPOperand in1, CPOperand in2, CPOperand in3, 
                                         CPOperand out, String opcode, String istr  )
	{
		super(op, in1, in2, in3, out, opcode, istr);
		_cptype = CPINSTRUCTION_TYPE.AggregateTernary;
	}

	/**
	 * 
	 * @param str
	 * @return
	 * @throws DMLRuntimeException
	 */
	public static AggregateTernaryCPInstruction parseInstruction( String str ) 
		throws DMLRuntimeException 
	{
		String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
		String opcode = parts[0];
		
		if ( opcode.equalsIgnoreCase("tak+*")) {
			InstructionUtils.checkNumFields( parts, 5 );
			
			CPOperand in1 = new CPOperand(parts[1]);
			CPOperand in2 = new CPOperand(parts[2]);
			CPOperand in3 = new CPOperand(parts[3]);
			CPOperand out = new CPOperand(parts[4]);
			int numThreads = Integer.parseInt(parts[5]);
				
			AggregateOperator agg = new AggregateOperator(0, KahanPlus.getKahanPlusFnObject());
			AggregateBinaryOperator op = new AggregateBinaryOperator(Multiply.getMultiplyFnObject(), agg, numThreads);
			
			return new AggregateTernaryCPInstruction(op, in1, in2, in3, out, opcode, str);
		} 
		else {
			throw new DMLRuntimeException("AggregateTertiaryInstruction.parseInstruction():: Unknown opcode " + opcode);
		}
		
	}
	
	@Override
	public void processInstruction(ExecutionContext ec) 
		throws DMLRuntimeException, DMLUnsupportedOperationException
	{		
		MatrixBlock matBlock1 = ec.getMatrixInput(input1.getName());
        MatrixBlock matBlock2 = ec.getMatrixInput(input2.getName());
        MatrixBlock matBlock3 = input3.isLiteral() ? null : //matrix or literal 1
        						ec.getMatrixInput(input3.getName());
			
		AggregateBinaryOperator ab_op = (AggregateBinaryOperator) _optr;
		ScalarObject ret = matBlock1.aggregateTernaryOperations(matBlock1, matBlock2, matBlock3, ab_op);
			
		//release inputs/outputs
		ec.releaseMatrixInput(input1.getName());
		ec.releaseMatrixInput(input2.getName());
		if( !input3.isLiteral() )
			ec.releaseMatrixInput(input3.getName());
		ec.setScalarOutput(output.getName(), ret);
	}
}