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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.*;
/**
* Lop to perform binary scalar operations. Both inputs must be scalars.
* Example i = j + k, i = i + 1.
*/
public class BinaryScalar extends Lop
{
public enum OperationTypes {
ADD, SUBTRACT, SUBTRACTRIGHT, MULTIPLY, DIVIDE, MODULUS, INTDIV,
LESS_THAN, LESS_THAN_OR_EQUALS, GREATER_THAN, GREATER_THAN_OR_EQUALS, EQUALS, NOT_EQUALS,
AND, OR,
LOG,POW,MAX,MIN,PRINT,
IQSIZE,
Over,
}
OperationTypes operation;
/**
* This overloaded constructor is used for setting exec type in case of spark backend
*/
public BinaryScalar(Lop input1, Lop input2, OperationTypes op, DataType dt, ValueType vt, ExecType et)
{
super(Lop.Type.BinaryCP, dt, vt);
operation = op;
this.addInput(input1);
this.addInput(input2);
input1.addOutput(this);
input2.addOutput(this);
boolean breaksAlignment = false; // this field does not carry any meaning for this lop
boolean aligner = false;
boolean definesMRJob = false;
lps.addCompatibility(JobType.INVALID);
this.lps.setProperties(inputs, et, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob );
}
/**
* Constructor to perform a scalar operation
* @param input
* @param op
*/
public BinaryScalar(Lop input1, Lop input2, OperationTypes op, DataType dt, ValueType vt)
{
super(Lop.Type.BinaryCP, dt, vt);
operation = op;
this.addInput(input1);
this.addInput(input2);
input1.addOutput(this);
input2.addOutput(this);
boolean breaksAlignment = false; // this field does not carry any meaning for this lop
boolean aligner = false;
boolean definesMRJob = false;
lps.addCompatibility(JobType.INVALID);
this.lps.setProperties(inputs, ExecType.CP, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob );
}
@Override
public String toString() {
return "Operation: " + operation;
}
public OperationTypes getOperationType(){
return operation;
}
@Override
public String getInstructions(String input1, String input2, String output) throws LopsException
{
String opString = getOpcode( operation );
StringBuilder sb = new StringBuilder();
sb.append(getExecType());
sb.append(Lop.OPERAND_DELIMITOR);
sb.append( opString );
sb.append( OPERAND_DELIMITOR );
sb.append( getInputs().get(0).prepScalarInputOperand(getExecType()) );
sb.append( OPERAND_DELIMITOR );
sb.append( getInputs().get(1).prepScalarInputOperand(getExecType()));
sb.append( OPERAND_DELIMITOR );
sb.append( prepOutputOperand(output));
return sb.toString();
}
@Override
public Lop.SimpleInstType getSimpleInstructionType()
{
switch (operation){
default:
return SimpleInstType.Scalar;
}
}
/**
*
* @param op
* @return
*/
public static String getOpcode( OperationTypes op )
{
switch ( op )
{
/* Arithmetic */
case ADD:
return "+";
case SUBTRACT:
return "-";
case MULTIPLY:
return "*";
case DIVIDE:
return "/";
case MODULUS:
return "%%";
case INTDIV:
return "%/%";
case POW:
return "^";
/* Relational */
case LESS_THAN:
return "<";
case LESS_THAN_OR_EQUALS:
return "<=";
case GREATER_THAN:
return ">";
case GREATER_THAN_OR_EQUALS:
return ">=";
case EQUALS:
return "==";
case NOT_EQUALS:
return "!=";
/* Boolean */
case AND:
return "&&";
case OR:
return "||";
/* Builtin Functions */
case LOG:
return "log";
case MIN:
return "min";
case MAX:
return "max";
case PRINT:
return "print";
case IQSIZE:
return "iqsize";
default:
throw new UnsupportedOperationException("Instruction is not defined for BinaryScalar operator: " + op);
}
}
}