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Declarative Machine Learning
/*
* 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.controlprogram.context.ExecutionContext;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.operators.AggregateTernaryOperator;
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;
}
public static AggregateTernaryCPInstruction parseInstruction( String str )
throws DMLRuntimeException
{
String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
String opcode = parts[0];
if ( opcode.equalsIgnoreCase("tak+*") || opcode.equalsIgnoreCase("tack+*") ) {
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]);
AggregateTernaryOperator op = InstructionUtils.parseAggregateTernaryOperator(opcode, numThreads);
return new AggregateTernaryCPInstruction(op, in1, in2, in3, out, opcode, str);
}
else {
throw new DMLRuntimeException("AggregateTernaryInstruction.parseInstruction():: Unknown opcode " + opcode);
}
}
@Override
public void processInstruction(ExecutionContext ec)
throws DMLRuntimeException
{
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());
AggregateTernaryOperator ab_op = (AggregateTernaryOperator) _optr;
MatrixBlock ret = matBlock1.aggregateTernaryOperations(
matBlock1, matBlock2, matBlock3, new MatrixBlock(), ab_op, true);
//release inputs/outputs
ec.releaseMatrixInput(input1.getName());
ec.releaseMatrixInput(input2.getName());
if( !input3.isLiteral() )
ec.releaseMatrixInput(input3.getName());
if( output.getDataType().isScalar() )
ec.setScalarOutput(output.getName(), new DoubleObject(ret.quickGetValue(0, 0)));
else
ec.setMatrixOutput(output.getName(), ret);
}
}