pcompress/bsc/libbsc/coder/common/predictor.h

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/*-----------------------------------------------------------*/
/* Block Sorting, Lossless Data Compression Library. */
/* Probability counter and logistic mixer */
/*-----------------------------------------------------------*/
/*--
This file is a part of bsc and/or libbsc, a program and a library for
lossless, block-sorting data compression.
Copyright (c) 2009-2012 Ilya Grebnov <ilya.grebnov@gmail.com>
See file AUTHORS for a full list of contributors.
The bsc and libbsc is free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation; either version 3 of the License, or (at your
option) any later version.
The bsc and libbsc is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
License for more details.
You should have received a copy of the GNU Lesser General Public License
along with the bsc and libbsc. If not, see http://www.gnu.org/licenses/.
Please see the files COPYING and COPYING.LIB for full copyright information.
See also the bsc and libbsc web site:
http://libbsc.com/ for more information.
--*/
#ifndef _LIBBSC_CODER_PREDICTOR_H
#define _LIBBSC_CODER_PREDICTOR_H
#include "../../platform/platform.h"
#include "tables.h"
struct ProbabilityCounter
{
public:
static INLINE void UpdateBit0(short & probability, const int threshold, const int adaptationRate)
{
probability = probability + (((4096 - threshold - probability) * adaptationRate) >> 12);
};
static INLINE void UpdateBit1(short & probability, const int threshold, const int adaptationRate)
{
probability = probability - (((probability - threshold) * adaptationRate) >> 12);
};
};
struct ProbabilityMixer
{
private:
short stretchedProbability0;
short stretchedProbability1;
short stretchedProbability2;
int mixedProbability;
int index;
short probabilityMap[17];
int weight0;
int weight1;
int weight2;
public:
INLINE void Init()
{
weight0 = weight1 = 2048 << 5; weight2 = 0;
for (int p = 0; p < 17; ++p)
{
probabilityMap[p] = bsc_squash((p - 8) * 256);
}
}
INLINE int Mixup(const int probability0, const int probability1, const int probability2)
{
stretchedProbability0 = bsc_stretch(probability0);
stretchedProbability1 = bsc_stretch(probability1);
stretchedProbability2 = bsc_stretch(probability2);
short stretchedProbability = (stretchedProbability0 * weight0 + stretchedProbability1 * weight1 + stretchedProbability2 * weight2) >> 17;
if (stretchedProbability < -2047) stretchedProbability = -2047;
if (stretchedProbability > 2047) stretchedProbability = 2047;
index = (stretchedProbability + 2048) >> 8;
const int weight = stretchedProbability & 255;
const int probability = bsc_squash(stretchedProbability);
const int mappedProbability = probabilityMap[index] + (((probabilityMap[index + 1] - probabilityMap[index]) * weight) >> 8);
return mixedProbability = (3 * probability + mappedProbability) >> 2;
};
INLINE int MixupAndUpdateBit0(const int probability0, const int probability1, const int probability2,
const int learningRate0, const int learningRate1, const int learningRate2,
const int threshold, const int adaptationRate
)
{
const short stretchedProbability0 = bsc_stretch(probability0);
const short stretchedProbability1 = bsc_stretch(probability1);
const short stretchedProbability2 = bsc_stretch(probability2);
short stretchedProbability = (stretchedProbability0 * weight0 + stretchedProbability1 * weight1 + stretchedProbability2 * weight2) >> 17;
if (stretchedProbability < -2047) stretchedProbability = -2047;
if (stretchedProbability > 2047) stretchedProbability = 2047;
const int weight = stretchedProbability & 255;
const int index = (stretchedProbability + 2048) >> 8;
const int probability = bsc_squash(stretchedProbability);
const int mappedProbability = probabilityMap[index] + (((probabilityMap[index + 1] - probabilityMap[index]) * weight) >> 8);
const int mixedProbability = (3 * probability + mappedProbability) >> 2;
ProbabilityCounter::UpdateBit0(probabilityMap[index], threshold, adaptationRate);
ProbabilityCounter::UpdateBit0(probabilityMap[index + 1], threshold, adaptationRate);
const int eps = mixedProbability - 4095;
weight0 -= (learningRate0 * eps * stretchedProbability0) >> 16;
weight1 -= (learningRate1 * eps * stretchedProbability1) >> 16;
weight2 -= (learningRate2 * eps * stretchedProbability2) >> 16;
return mixedProbability;
};
INLINE int MixupAndUpdateBit1(const int probability0, const int probability1, const int probability2,
const int learningRate0, const int learningRate1, const int learningRate2,
const int threshold, const int adaptationRate
)
{
const short stretchedProbability0 = bsc_stretch(probability0);
const short stretchedProbability1 = bsc_stretch(probability1);
const short stretchedProbability2 = bsc_stretch(probability2);
short stretchedProbability = (stretchedProbability0 * weight0 + stretchedProbability1 * weight1 + stretchedProbability2 * weight2) >> 17;
if (stretchedProbability < -2047) stretchedProbability = -2047;
if (stretchedProbability > 2047) stretchedProbability = 2047;
const int weight = stretchedProbability & 255;
const int index = (stretchedProbability + 2048) >> 8;
const int probability = bsc_squash(stretchedProbability);
const int mappedProbability = probabilityMap[index] + (((probabilityMap[index + 1] - probabilityMap[index]) * weight) >> 8);
const int mixedProbability = (3 * probability + mappedProbability) >> 2;
ProbabilityCounter::UpdateBit1(probabilityMap[index], threshold, adaptationRate);
ProbabilityCounter::UpdateBit1(probabilityMap[index + 1], threshold, adaptationRate);
const int eps = mixedProbability - 1;
weight0 -= (learningRate0 * eps * stretchedProbability0) >> 16;
weight1 -= (learningRate1 * eps * stretchedProbability1) >> 16;
weight2 -= (learningRate2 * eps * stretchedProbability2) >> 16;
return mixedProbability;
};
INLINE void UpdateBit0(const int learningRate0, const int learningRate1, const int learningRate2,
const int threshold, const int adaptationRate
)
{
ProbabilityCounter::UpdateBit0(probabilityMap[index], threshold, adaptationRate);
ProbabilityCounter::UpdateBit0(probabilityMap[index + 1], threshold, adaptationRate);
const int eps = mixedProbability - 4095;
weight0 -= (learningRate0 * eps * stretchedProbability0) >> 16;
weight1 -= (learningRate1 * eps * stretchedProbability1) >> 16;
weight2 -= (learningRate2 * eps * stretchedProbability2) >> 16;
};
INLINE void UpdateBit1(const int learningRate0, const int learningRate1, const int learningRate2,
const int threshold, const int adaptationRate
)
{
ProbabilityCounter::UpdateBit1(probabilityMap[index], threshold, adaptationRate);
ProbabilityCounter::UpdateBit1(probabilityMap[index + 1], threshold, adaptationRate);
const int eps = mixedProbability - 1;
weight0 -= (learningRate0 * eps * stretchedProbability0) >> 16;
weight1 -= (learningRate1 * eps * stretchedProbability1) >> 16;
weight2 -= (learningRate2 * eps * stretchedProbability2) >> 16;
};
};
#endif
/*-----------------------------------------------------------*/
/* End predictor.h */
/*-----------------------------------------------------------*/