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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.parser.Expression.ValueType;
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.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.data.LibMatrixReorg;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.operators.Operator;
/**
*
*
*/
public class MatrixReshapeCPInstruction extends UnaryCPInstruction
{
private CPOperand _opRows = null;
private CPOperand _opCols = null;
private CPOperand _opByRow = null;
public MatrixReshapeCPInstruction(Operator op, CPOperand in1, CPOperand in2, CPOperand in3, CPOperand in4, CPOperand out, String opcode, String istr)
{
super(op, in1, out, opcode, istr);
_cptype = CPINSTRUCTION_TYPE.MatrixReshape;
_opRows = in2;
_opCols = in3;
_opByRow = in4;
}
/**
*
* @param str
* @return
* @throws DMLRuntimeException
*/
public static MatrixReshapeCPInstruction parseInstruction ( String str )
throws DMLRuntimeException
{
String[] parts = InstructionUtils.getInstructionPartsWithValueType(str);
InstructionUtils.checkNumFields( parts, 5 );
String opcode = parts[0];
CPOperand in1 = new CPOperand(parts[1]);
CPOperand in2 = new CPOperand(parts[2]);
CPOperand in3 = new CPOperand(parts[3]);
CPOperand in4 = new CPOperand(parts[4]);
CPOperand out = new CPOperand(parts[5]);
if(!opcode.equalsIgnoreCase("rshape"))
throw new DMLRuntimeException("Unknown opcode while parsing an MatrixReshapeInstruction: " + str);
else
return new MatrixReshapeCPInstruction(new Operator(true), in1, in2, in3, in4, out, opcode, str);
}
@Override
public void processInstruction(ExecutionContext ec)
throws DMLUnsupportedOperationException, DMLRuntimeException
{
//get inputs
MatrixBlock in = ec.getMatrixInput(input1.getName());
int rows = (int)ec.getScalarInput(_opRows.getName(), _opRows.getValueType(), _opRows.isLiteral()).getLongValue(); //save cast
int cols = (int)ec.getScalarInput(_opCols.getName(), _opCols.getValueType(), _opCols.isLiteral()).getLongValue(); //save cast
BooleanObject byRow = (BooleanObject) ec.getScalarInput(_opByRow.getName(), ValueType.BOOLEAN, _opByRow.isLiteral());
//execute operations
MatrixBlock out = new MatrixBlock();
out = LibMatrixReorg.reshape(in, out, rows, cols, byRow.getBooleanValue());
//set output and release inputs
ec.setMatrixOutput(output.getName(), out);
ec.releaseMatrixInput(input1.getName());
}
}