stm32f407-openocd/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_logsumexp_f32.c

278 lines
5.9 KiB
C

/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_logsumexp_f32.c
* Description: LogSumExp
*
* $Date: 23 April 2021
* $Revision: V1.9.0
*
* Target Processor: Cortex-M and Cortex-A cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2021 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 "dsp/statistics_functions.h"
#include <limits.h>
#include <math.h>
/**
* @addtogroup LogSumExp
* @{
*/
/**
* @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 logs 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 is extracted and the function is computing:
* xm + ln(exp(x1 - xm) + ... + exp(xn - xm))
*
* @param[in] *in Pointer to an array of input values.
* @param[in] blockSize Number of samples in the input array.
* @return LogSumExp
*
*/
#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
#include "arm_helium_utils.h"
#include "arm_vec_math.h"
float32_t arm_logsumexp_f32(const float32_t *in, uint32_t blockSize)
{
float32_t maxVal;
const float32_t *pIn;
int32_t blkCnt;
float32_t accum=0.0f;
float32_t tmp;
arm_max_no_idx_f32((float32_t *) in, blockSize, &maxVal);
blkCnt = blockSize;
pIn = in;
f32x4_t vSum = vdupq_n_f32(0.0f);
blkCnt = blockSize >> 2;
while(blkCnt > 0)
{
f32x4_t vecIn = vld1q(pIn);
f32x4_t vecExp;
vecExp = vexpq_f32(vsubq_n_f32(vecIn, maxVal));
vSum = vaddq_f32(vSum, vecExp);
/*
* Decrement the blockSize loop counter
* Advance vector source and destination pointers
*/
pIn += 4;
blkCnt --;
}
/* sum + log */
accum = vecAddAcrossF32Mve(vSum);
blkCnt = blockSize & 0x3;
while(blkCnt > 0)
{
tmp = *pIn++;
accum += expf(tmp - maxVal);
blkCnt--;
}
accum = maxVal + log(accum);
return (accum);
}
#else
#if defined(ARM_MATH_NEON) && !defined(ARM_MATH_AUTOVECTORIZE)
#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;
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 = vget_lane_f32(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(0.0f);
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 = vget_lane_f32(accumV2, 0) + vget_lane_f32(accumV2, 1);
blkCnt = blockSize & 0x3;
while(blkCnt > 0)
{
tmp = *pIn++;
accum += expf(tmp - maxVal);
blkCnt--;
}
accum = maxVal + logf(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 += expf(tmp - maxVal);
blkCnt--;
}
accum = maxVal + logf(accum);
return(accum);
}
#endif
#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
/**
* @} end of LogSumExp group
*/