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Declarative Machine Learning
/*
* Licensed to the Apache Software Foundation (ASF) under one
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* 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
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package org.apache.sysml.runtime.instructions.cp;
import org.apache.sysml.parser.Expression.DataType;
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.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.operators.Operator;
import org.apache.sysml.runtime.matrix.operators.ScalarOperator;
//TODO rename to MatrixScalar...
public class ScalarMatrixRelationalCPInstruction extends RelationalBinaryCPInstruction
{
public ScalarMatrixRelationalCPInstruction(Operator op,
CPOperand in1,
CPOperand in2,
CPOperand out,
String opcode,
String istr){
super(op, in1, in2, out, opcode, istr);
}
@Override
public void processInstruction(ExecutionContext ec)
throws DMLRuntimeException, DMLUnsupportedOperationException
{
CPOperand mat = ( input1.getDataType() == DataType.MATRIX ) ? input1 : input2;
CPOperand scalar = ( input1.getDataType() == DataType.MATRIX ) ? input2 : input1;
MatrixBlock inBlock = ec.getMatrixInput(mat.getName());
ScalarObject constant = (ScalarObject) ec.getScalarInput(scalar.getName(), scalar.getValueType(), scalar.isLiteral());
ScalarOperator sc_op = (ScalarOperator) _optr;
sc_op.setConstant(constant.getDoubleValue());
MatrixBlock retBlock = (MatrixBlock) inBlock.scalarOperations(sc_op, new MatrixBlock());
ec.releaseMatrixInput(mat.getName());
// Ensure right dense/sparse output representation (guarded by released input memory)
if( checkGuardedRepresentationChange(inBlock, retBlock) ) {
retBlock.examSparsity();
}
ec.setMatrixOutput(output.getName(), retBlock);
}
}