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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.DataType;
import org.apache.sysml.parser.Expression.ValueType;
import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.DMLUnsupportedOperationException;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.operators.Operator;
public abstract class ArithmeticBinaryCPInstruction extends BinaryCPInstruction
{
public ArithmeticBinaryCPInstruction(Operator op,
CPOperand in1,
CPOperand in2,
CPOperand out,
String opcode,
String istr )
{
super(op, in1, in2, out, opcode, istr);
_cptype = CPINSTRUCTION_TYPE.ArithmeticBinary;
}
public static ArithmeticBinaryCPInstruction parseInstruction ( String str )
throws DMLRuntimeException, DMLUnsupportedOperationException
{
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);
// Arithmetic operations must be performed on DOUBLE or INT
ValueType vt1 = in1.getValueType();
DataType dt1 = in1.getDataType();
ValueType vt2 = in2.getValueType();
DataType dt2 = in2.getDataType();
ValueType vt3 = out.getValueType();
DataType dt3 = out.getDataType();
//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);
if ( opcode.equalsIgnoreCase("+") && dt1 == DataType.SCALAR && dt2 == DataType.SCALAR)
{
return new ScalarScalarArithmeticCPInstruction(operator, in1, in2, out, opcode, str);
}
else if(dt1 == DataType.SCALAR && dt2 == DataType.SCALAR){
if ( (vt1 != ValueType.DOUBLE && vt1 != ValueType.INT)
|| (vt2 != ValueType.DOUBLE && vt2 != ValueType.INT)
|| (vt3 != ValueType.DOUBLE && vt3 != ValueType.INT) )
throw new DMLRuntimeException("Unexpected ValueType in ArithmeticInstruction.");
//haven't we already checked for this above -- prithvi
if ( vt1 != ValueType.DOUBLE && vt1 != ValueType.INT ) {
throw new DMLRuntimeException("Unexpected ValueType (" + vt1 + ") in ArithmeticInstruction: " + str);
}
return new ScalarScalarArithmeticCPInstruction(operator, in1, in2, out, opcode, str);
} else if (dt1 == DataType.MATRIX || dt2 == DataType.MATRIX){
if(vt1 == ValueType.STRING
|| vt2 == ValueType.STRING
|| vt3 == ValueType.STRING)
throw new DMLUnsupportedOperationException("We do not support element-wise string operations on matrices "
+ in1.getName()
+ ", "
+ in2.getName()
+ " and "
+ out.getName());
if(dt1 == DataType.MATRIX && dt2 == DataType.MATRIX)
return new MatrixMatrixArithmeticCPInstruction(operator, in1, in2, out, opcode, str);
else
return new ScalarMatrixArithmeticCPInstruction(operator, in1, in2, out, opcode, str);
}
return null;
}
}