stm32f407-openocd/Drivers/CMSIS/DSP/Source/StatisticsFunctions/arm_kullback_leibler_f32.c

194 lines
4.3 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 Kullback-Leibler
* @{
*/
/**
* @brief Kullback-Leibler
*
* Distribution A may contain 0 with Neon version.
* Result will be right but some exception flags will be set.
*
* Distribution B must not contain 0 probability.
*
* @param[in] *pSrcA points to an array of input values for probaility distribution A.
* @param[in] *pSrcB points to an array of input values for probaility distribution B.
* @param[in] blockSize number of samples in the input array.
* @return Kullback-Leibler divergence D(A || B)
*
*/
#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
#include "arm_helium_utils.h"
#include "arm_vec_math.h"
float32_t arm_kullback_leibler_f32(const float32_t * pSrcA,const float32_t * pSrcB,uint32_t blockSize)
{
uint32_t blkCnt;
float32_t accum, pA,pB;
blkCnt = blockSize;
accum = 0.0f;
f32x4_t vSum = vdupq_n_f32(0.0f);
blkCnt = blockSize >> 2;
while(blkCnt > 0)
{
f32x4_t vecA = vld1q(pSrcA);
f32x4_t vecB = vld1q(pSrcB);
f32x4_t vRatio;
vRatio = vdiv_f32(vecB, vecA);
vSum = vaddq_f32(vSum, vmulq(vecA, vlogq_f32(vRatio)));
/*
* Decrement the blockSize loop counter
* Advance vector source and destination pointers
*/
pSrcA += 4;
pSrcB += 4;
blkCnt --;
}
accum = vecAddAcrossF32Mve(vSum);
blkCnt = blockSize & 3;
while(blkCnt > 0)
{
pA = *pSrcA++;
pB = *pSrcB++;
accum += pA * logf(pB / pA);
blkCnt--;
}
return(-accum);
}
#else
#if defined(ARM_MATH_NEON) && !defined(ARM_MATH_AUTOVECTORIZE)
#include "NEMath.h"
float32_t arm_kullback_leibler_f32(const float32_t * pSrcA,const float32_t * pSrcB,uint32_t blockSize)
{
const float32_t *pInA, *pInB;
uint32_t blkCnt;
float32_t accum, pA,pB;
float32x4_t accumV;
float32x2_t accumV2;
float32x4_t tmpVA, tmpVB,tmpV;
pInA = pSrcA;
pInB = pSrcB;
accum = 0.0f;
accumV = vdupq_n_f32(0.0f);
blkCnt = blockSize >> 2;
while(blkCnt > 0)
{
tmpVA = vld1q_f32(pInA);
pInA += 4;
tmpVB = vld1q_f32(pInB);
pInB += 4;
tmpV = vinvq_f32(tmpVA);
tmpVB = vmulq_f32(tmpVB, tmpV);
tmpVB = vlogq_f32(tmpVB);
accumV = vmlaq_f32(accumV, tmpVA, tmpVB);
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 & 3;
while(blkCnt > 0)
{
pA = *pInA++;
pB = *pInB++;
accum += pA * logf(pB/pA);
blkCnt--;
}
return(-accum);
}
#else
float32_t arm_kullback_leibler_f32(const float32_t * pSrcA,const float32_t * pSrcB,uint32_t blockSize)
{
const float32_t *pInA, *pInB;
uint32_t blkCnt;
float32_t accum, pA,pB;
pInA = pSrcA;
pInB = pSrcB;
blkCnt = blockSize;
accum = 0.0f;
while(blkCnt > 0)
{
pA = *pInA++;
pB = *pInB++;
accum += pA * logf(pB / pA);
blkCnt--;
}
return(-accum);
}
#endif
#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
/**
* @} end of Kullback-Leibler group
*/