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* 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
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* KIND, either express or implied. See the License for the
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package org.apache.sysml.runtime.instructions.gpu;
import org.apache.sysml.parser.Expression.DataType;
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.instructions.cp.ScalarObject;
import org.apache.sysml.runtime.matrix.data.LibMatrixCUDA;
import org.apache.sysml.runtime.matrix.operators.Operator;
import org.apache.sysml.runtime.matrix.operators.ScalarOperator;
import org.apache.sysml.utils.GPUStatistics;
public class ScalarMatrixArithmeticGPUInstruction extends ArithmeticBinaryGPUInstruction {
public ScalarMatrixArithmeticGPUInstruction(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();
CPOperand mat = ( _input1.getDataType() == DataType.MATRIX ) ? _input1 : _input2;
CPOperand scalar = ( _input1.getDataType() == DataType.MATRIX ) ? _input2 : _input1;
MatrixObject in1 = getMatrixInputForGPUInstruction(ec, mat.getName());
ScalarObject constant = (ScalarObject) ec.getScalarInput(scalar.getName(), scalar.getValueType(), scalar.isLiteral());
boolean isTransposed = false;
int rlen = isTransposed ? (int) in1.getNumColumns() : (int) in1.getNumRows();
int clen = isTransposed ? (int) in1.getNumRows() : (int) in1.getNumColumns();
ec.setMetaData(_output.getName(), rlen, clen);
ScalarOperator sc_op = (ScalarOperator) _optr;
sc_op.setConstant(constant.getDoubleValue());
LibMatrixCUDA.matrixScalarArithmetic(ec, ec.getGPUContext(), getExtendedOpcode(), in1, _output.getName(), isTransposed, sc_op);
ec.releaseMatrixInputForGPUInstruction(mat.getName());
ec.releaseMatrixOutputForGPUInstruction(_output.getName());
}
}