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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 LeftIndex extends Lop
{
/**
* Constructor to setup a LeftIndexing operation.
* Example: A[i:j, k:l] = B;
*
*
* @param input
* @param op
* @return
* @throws LopsException
*/
private void init(Lop lhsMatrix, Lop rhsMatrix, Lop rowL, Lop rowU, Lop colL, Lop colU, ExecType et) throws LopsException {
/*
* A[i:j, k:l] = B;
* B -> rhsMatrix
* A -> lhsMatrix
* i,j -> rowL, rowU
* k,l -> colL, colU
*/
this.addInput(lhsMatrix);
this.addInput(rhsMatrix);
this.addInput(rowL);
this.addInput(rowU);
this.addInput(colL);
this.addInput(colU);
lhsMatrix.addOutput(this);
rhsMatrix.addOutput(this);
rowL.addOutput(this);
rowU.addOutput(this);
colL.addOutput(this);
colU.addOutput(this);
boolean breaksAlignment = true;
boolean aligner = false;
boolean definesMRJob = false;
if ( et == ExecType.MR ) {
throw new LopsException(this.printErrorLocation() + "LeftIndexing lop is undefined for MR runtime");
}
else {
lps.addCompatibility(JobType.INVALID);
this.lps.setProperties(inputs, et, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob);
}
}
public LeftIndex(
Lop lhsInput, Lop rhsInput, Lop rowL, Lop rowU, Lop colL, Lop colU, DataType dt, ValueType vt, ExecType et)
throws LopsException {
super(Lop.Type.LeftIndex, dt, vt);
init(lhsInput, rhsInput, rowL, rowU, colL, colU, et);
}
boolean isBroadcast = false;
public LeftIndex(
Lop lhsInput, Lop rhsInput, Lop rowL, Lop rowU, Lop colL, Lop colU, DataType dt, ValueType vt, ExecType et, boolean isBroadcast)
throws LopsException {
super(Lop.Type.LeftIndex, dt, vt);
this.isBroadcast = isBroadcast;
init(lhsInput, rhsInput, rowL, rowU, colL, colU, et);
}
private String getOpcode() {
if(isBroadcast)
return "mapLeftIndex";
else
return "leftIndex";
}
@Override
public String getInstructions(String lhsInput, String rhsInput, String rowl, String rowu, String coll, String colu, String output)
throws LopsException
{
StringBuilder sb = new StringBuilder();
sb.append( getExecType() );
sb.append( OPERAND_DELIMITOR );
sb.append( getOpcode() );
sb.append( OPERAND_DELIMITOR );
sb.append( getInputs().get(0).prepInputOperand(lhsInput));
sb.append( OPERAND_DELIMITOR );
if ( getInputs().get(1).getDataType() == DataType.SCALAR ) {
sb.append( getInputs().get(1).prepScalarInputOperand(getExecType()));
}
else {
sb.append( getInputs().get(1).prepInputOperand(rhsInput));
}
sb.append( OPERAND_DELIMITOR );
// rowl, rowu
sb.append(getInputs().get(2).prepScalarInputOperand(getExecType()));
sb.append( OPERAND_DELIMITOR );
sb.append(getInputs().get(3).prepScalarInputOperand(getExecType()));
sb.append( OPERAND_DELIMITOR );
// rowl, rowu
sb.append(getInputs().get(4).prepScalarInputOperand(getExecType()));
sb.append( OPERAND_DELIMITOR );
sb.append(getInputs().get(5).prepScalarInputOperand(getExecType()));
sb.append( OPERAND_DELIMITOR );
sb.append( this.prepOutputOperand(output));
return sb.toString();
}
@Override
public String toString() {
return "leftIndex";
}
}