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* 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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package org.apache.sysml.runtime.instructions.gpu;
import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.controlprogram.caching.MatrixObject;
import org.apache.sysml.runtime.controlprogram.context.ExecutionContext;
import org.apache.sysml.runtime.instructions.cp.CPOperand;
import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
import org.apache.sysml.runtime.matrix.operators.BinaryOperator;
import org.apache.sysml.runtime.matrix.operators.Operator;
import org.apache.sysml.utils.GPUStatistics;
public class MatrixMatrixArithmeticGPUInstruction extends ArithmeticBinaryGPUInstruction
{
public MatrixMatrixArithmeticGPUInstruction(Operator op,
CPOperand in1,
CPOperand in2,
CPOperand out,
String opcode,
String istr){
super(op, in1, in2, out, opcode, istr);
}
@Override
public void processInstruction(ExecutionContext ec) throws DMLRuntimeException {
GPUStatistics.incrementNoOfExecutedGPUInst();
MatrixObject in1 = getMatrixInputForGPUInstruction(ec, _input1.getName());
MatrixObject in2 = getMatrixInputForGPUInstruction(ec, _input2.getName());
//TODO: make hop level changes for this
boolean isLeftTransposed = false;
boolean isRightTransposed = false;
// int rlen = isLeftTransposed ? (int) in1.getNumColumns() : (int) in1.getNumRows();
// int clen = isLeftTransposed ? (int) in1.getNumRows() : (int) in1.getNumColumns();
long rlen1 = in1.getNumRows();
long clen1 = in1.getNumColumns();
long rlen2 = in2.getNumRows();
long clen2 = in2.getNumColumns();
// Assume ordinary binary op
long rlen = rlen1;
long clen = clen1;
// Outer binary op ( [100,1] + [1,100] or [100,100] + [100,1]
if (rlen1 != rlen2 || clen1 != clen2){
rlen = rlen1 > rlen2 ? rlen1 : rlen2;
clen = clen1 > clen2 ? clen1 : clen2;
}
ec.setMetaData(_output.getName(), (int)rlen, (int)clen);
BinaryOperator bop = (BinaryOperator) _optr;
LibMatrixCUDA.matrixScalarArithmetic(ec, ec.getGPUContext(), getExtendedOpcode(), in1, in2, _output.getName(), isLeftTransposed, isRightTransposed, bop);
ec.releaseMatrixInputForGPUInstruction(_input1.getName());
ec.releaseMatrixInputForGPUInstruction(_input2.getName());
ec.releaseMatrixOutputForGPUInstruction(_output.getName());
}
}