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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.lops;
import org.apache.sysml.lops.LopProperties.ExecLocation;
import org.apache.sysml.lops.LopProperties.ExecType;
import org.apache.sysml.lops.compile.JobType;
import org.apache.sysml.parser.Expression.DataType;
import org.apache.sysml.parser.Expression.ValueType;
public class RepMat extends Lop
{
public static final String OPCODE = "rep";
private boolean _repCols = true;
/**
* Constructor to setup a partial Matrix-Vector Multiplication
*
* @param input1 low-level operator 1
* @param input2 low-level operator 2
* @param repCols ?
* @param dt data type
* @param vt value type
* @throws LopsException if LopsException occurs
*/
public RepMat(Lop input1, Lop input2, boolean repCols, DataType dt, ValueType vt)
throws LopsException
{
super(Lop.Type.RepMat, dt, vt);
this.addInput(input1);
this.addInput(input2);
input1.addOutput(this);
input2.addOutput(this);
_repCols = repCols;
//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 );
}
public String toString() {
return "Operation = RepMat";
}
@Override
public String getInstructions(int input_index1, int input_index2, int output_index)
{
StringBuilder sb = new StringBuilder();
sb.append(getExecType());
sb.append(Lop.OPERAND_DELIMITOR);
sb.append(OPCODE);
sb.append(Lop.OPERAND_DELIMITOR);
sb.append( getInputs().get(0).prepInputOperand(input_index1));
sb.append(Lop.OPERAND_DELIMITOR);
sb.append(_repCols);
sb.append(Lop.OPERAND_DELIMITOR);
sb.append( getInputs().get(1).prepScalarInputOperand(getExecType()));
sb.append(Lop.OPERAND_DELIMITOR);
sb.append( this.prepOutputOperand(output_index));
return sb.toString();
}
}