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CMSIS-DSP/Source/StatisticsFunctions/arm_logsumexp_f32.c

217 lines
4.6 KiB
C

/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_logsumexp_f32.c
* Description: LogSumExp
*
*
* Target Processor: Cortex-M and Cortex-A cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed 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
*
* 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.
*/
#include "arm_math.h"
#include <limits.h>
#include <math.h>
/**
* @addtogroup groupStats
* @{
*/
/**
* @brief Computation of the LogSumExp
*
* In probabilistic computations, the dynamic of the probability values can be very
* wide because they come from gaussian functions.
* To avoid underflow and overflow issues, the values are represented by their log.
* In this representation, multiplying the original exp values is easy : their log are added.
* But adding the original exp values is requiring some special handling and it is the
* goal of the LogSumExp function.
*
* If the values are x1...xn, the function is computing:
*
* ln(exp(x1) + ... + exp(xn)) and the computation is done in such a way that
* rounding issues are minimised.
*
* The max xm of the values if extracted and the function is computing:
* xm + ln(exp(x1 - xm) + ... + exp(xn - xm))
*
* @param[in] *in points to an array of input values.
* @param[in] blockSize number of samples in the input array.
* @return LogSumExp
*
*/
#if defined(ARM_MATH_NEON)
#include "NEMath.h"
float32_t arm_logsumexp_f32(const float32_t *in, uint32_t blockSize)
{
float32_t maxVal;
float32_t tmp;
float32x4_t tmpV, tmpVb;
float32x2_t tmpV2;
float32x4_t maxValV;
uint32x4_t idxV;
float32x4_t accumV;
float32x2_t accumV2;
const float32_t *pIn;
uint32_t blkCnt;
float32_t accum;
pIn = in;
blkCnt = blockSize;
if (blockSize <= 3)
{
maxVal = *pIn++;
blkCnt--;
while(blkCnt > 0)
{
tmp = *pIn++;
if (tmp > maxVal)
{
maxVal = tmp;
}
blkCnt--;
}
}
else
{
maxValV = vld1q_f32(pIn);
pIn += 4;
blkCnt = (blockSize - 4) >> 2;
while(blkCnt > 0)
{
tmpVb = vld1q_f32(pIn);
pIn += 4;
idxV = vcgtq_f32(tmpVb, maxValV);
maxValV = vbslq_f32(idxV, tmpVb, maxValV );
blkCnt--;
}
accumV2 = vpmax_f32(vget_low_f32(maxValV),vget_high_f32(maxValV));
accumV2 = vpmax_f32(accumV2,accumV2);
maxVal = accumV2[0];
blkCnt = (blockSize - 4) & 3;
while(blkCnt > 0)
{
tmp = *pIn++;
if (tmp > maxVal)
{
maxVal = tmp;
}
blkCnt--;
}
}
maxValV = vdupq_n_f32(maxVal);
pIn = in;
accum = 0;
accumV = vdupq_n_f32(0.0);
blkCnt = blockSize >> 2;
while(blkCnt > 0)
{
tmpV = vld1q_f32(pIn);
pIn += 4;
tmpV = vsubq_f32(tmpV, maxValV);
tmpV = vexpq_f32(tmpV);
accumV = vaddq_f32(accumV, tmpV);
blkCnt--;
}
accumV2 = vpadd_f32(vget_low_f32(accumV),vget_high_f32(accumV));
accum = accumV2[0] + accumV2[1];
blkCnt = blockSize & 0x3;
while(blkCnt > 0)
{
tmp = *pIn++;
accum += exp(tmp - maxVal);
blkCnt--;
}
accum = maxVal + log(accum);
return(accum);
}
#else
float32_t arm_logsumexp_f32(const float32_t *in, uint32_t blockSize)
{
float32_t maxVal;
float32_t tmp;
const float32_t *pIn;
uint32_t blkCnt;
float32_t accum;
pIn = in;
blkCnt = blockSize;
maxVal = *pIn++;
blkCnt--;
while(blkCnt > 0)
{
tmp = *pIn++;
if (tmp > maxVal)
{
maxVal = tmp;
}
blkCnt--;
}
blkCnt = blockSize;
pIn = in;
accum = 0;
while(blkCnt > 0)
{
tmp = *pIn++;
accum += exp(tmp - maxVal);
blkCnt--;
}
accum = maxVal + log(accum);
return(accum);
}
#endif
/**
* @} end of groupStats group
*/