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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
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
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* 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.DataType;
import org.apache.sysml.parser.Expression.ValueType;
import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.operators.Operator;
public abstract class RelationalBinaryCPInstruction extends BinaryCPInstruction
{
public RelationalBinaryCPInstruction(Operator op, CPOperand in1, CPOperand in2, CPOperand out, String opcode, String istr )
{
super(op, in1, in2, out, opcode, istr);
_cptype = CPINSTRUCTION_TYPE.RelationalBinary;
}
public static RelationalBinaryCPInstruction parseInstruction ( String str ) throws DMLRuntimeException {
InstructionUtils.checkNumFields (str, 3);
CPOperand in1 = new CPOperand("", ValueType.UNKNOWN, DataType.UNKNOWN);
CPOperand in2 = new CPOperand("", ValueType.UNKNOWN, DataType.UNKNOWN);
CPOperand out = new CPOperand("", ValueType.UNKNOWN, DataType.UNKNOWN);
String opcode = parseBinaryInstruction(str, in1, in2, out);
// TODO: Relational operations need not have value type checking
ValueType vt1 = in1.getValueType();
DataType dt1 = in1.getDataType();
ValueType vt2 = in2.getValueType();
DataType dt2 = in2.getDataType();
DataType dt3 = out.getDataType();
//if ( vt3 != ValueType.BOOLEAN )
// throw new DMLRuntimeException("Unexpected ValueType in RelationalCPInstruction: " + str);
if ( vt1 == ValueType.BOOLEAN && !opcode.equalsIgnoreCase("==") && !opcode.equalsIgnoreCase("!=") )
throw new DMLRuntimeException("Operation " + opcode + " can not be applied on boolean values "
+ "(Instruction = " + str + ").");
//prithvi TODO
//make sure these checks belong here
//if either input is a matrix, then output
//has to be a matrix
if((dt1 == DataType.MATRIX
|| dt2 == DataType.MATRIX)
&& dt3 != DataType.MATRIX)
throw new DMLRuntimeException("Element-wise matrix operations between variables "
+ in1.getName()
+ " and "
+ in2.getName()
+ " must produce a matrix, which "
+ out.getName()
+ " is not");
Operator operator = (dt1 != dt2) ?
InstructionUtils.parseScalarBinaryOperator(opcode, (dt1 == DataType.SCALAR)) :
InstructionUtils.parseBinaryOperator(opcode);
//for scalar relational operations we only allow boolean operands
//or when both operands are numeric (int or double)
if(dt1 == DataType.SCALAR && dt2 == DataType.SCALAR){
if (!( (vt1 == ValueType.BOOLEAN && vt2 == ValueType.BOOLEAN)
||(vt1 == ValueType.STRING && vt2 == ValueType.STRING)
||( (vt1 == ValueType.DOUBLE || vt1 == ValueType.INT) && (vt2 == ValueType.DOUBLE || vt2 == ValueType.INT))))
{
throw new DMLRuntimeException("unexpected value-type in "
+ "Relational Binary Instruction "
+ "involving scalar operands.");
}
return new ScalarScalarRelationalCPInstruction(operator, in1, in2, out, opcode, str);
}else if (dt1 == DataType.MATRIX || dt2 == DataType.MATRIX){
if(dt1 == DataType.MATRIX && dt2 == DataType.MATRIX)
return new MatrixMatrixRelationalCPInstruction(operator, in1, in2, out, opcode, str);
else
return new ScalarMatrixRelationalCPInstruction(operator, in1, in2, out, opcode, str);
}
return null;
}
}