mirror of
https://github.com/IcedRooibos/py32f0-template.git
synced 2025-10-31 01:42:04 -07:00
153 lines
3.5 KiB
C
153 lines
3.5 KiB
C
|
|
/* ----------------------------------------------------------------------
|
|
* Project: CMSIS DSP Library
|
|
* Title: arm_euclidean_distance_f32.c
|
|
* Description: Euclidean distance between two vectors
|
|
*
|
|
* $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/distance_functions.h"
|
|
#include <limits.h>
|
|
#include <math.h>
|
|
|
|
|
|
|
|
/**
|
|
@addtogroup Euclidean
|
|
@{
|
|
*/
|
|
|
|
|
|
/**
|
|
* @brief Euclidean distance between two vectors
|
|
* @param[in] pA First vector
|
|
* @param[in] pB Second vector
|
|
* @param[in] blockSize vector length
|
|
* @return distance
|
|
*
|
|
*/
|
|
#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
|
|
|
|
#include "arm_helium_utils.h"
|
|
#include "arm_vec_math.h"
|
|
float32_t arm_euclidean_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
|
|
{
|
|
uint32_t blkCnt;
|
|
float32_t tmp;
|
|
f32x4_t a, b, accumV, tempV;
|
|
|
|
accumV = vdupq_n_f32(0.0f);
|
|
|
|
blkCnt = blockSize >> 2;
|
|
while (blkCnt > 0U) {
|
|
a = vld1q(pA);
|
|
b = vld1q(pB);
|
|
|
|
tempV = vsubq(a, b);
|
|
accumV = vfmaq(accumV, tempV, tempV);
|
|
|
|
pA += 4;
|
|
pB += 4;
|
|
blkCnt--;
|
|
}
|
|
|
|
/*
|
|
* tail
|
|
* (will be merged thru tail predication)
|
|
*/
|
|
blkCnt = blockSize & 3;
|
|
if (blkCnt > 0U) {
|
|
mve_pred16_t p0 = vctp32q(blkCnt);
|
|
|
|
a = vldrwq_z_f32(pA, p0);
|
|
b = vldrwq_z_f32(pB, p0);
|
|
|
|
tempV = vsubq(a, b);
|
|
accumV = vfmaq_m(accumV, tempV, tempV, p0);
|
|
}
|
|
|
|
arm_sqrt_f32(vecAddAcrossF32Mve(accumV), &tmp);
|
|
return (tmp);
|
|
}
|
|
#else
|
|
#if defined(ARM_MATH_NEON)
|
|
|
|
#include "NEMath.h"
|
|
|
|
float32_t arm_euclidean_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
|
|
{
|
|
float32_t accum=0.0f,tmp;
|
|
uint32_t blkCnt;
|
|
float32x4_t a,b,accumV;
|
|
float32x2_t accumV2;
|
|
|
|
accumV = vdupq_n_f32(0.0f);
|
|
blkCnt = blockSize >> 2;
|
|
while(blkCnt > 0)
|
|
{
|
|
a = vld1q_f32(pA);
|
|
b = vld1q_f32(pB);
|
|
|
|
a = vsubq_f32(a,b);
|
|
accumV = vmlaq_f32(accumV,a,a);
|
|
pA += 4;
|
|
pB += 4;
|
|
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)
|
|
{
|
|
tmp = *pA++ - *pB++;
|
|
accum += SQ(tmp);
|
|
blkCnt --;
|
|
}
|
|
arm_sqrt_f32(accum,&tmp);
|
|
return(tmp);
|
|
}
|
|
|
|
#else
|
|
float32_t arm_euclidean_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
|
|
{
|
|
float32_t accum=0.0f,tmp;
|
|
|
|
while(blockSize > 0)
|
|
{
|
|
tmp = *pA++ - *pB++;
|
|
accum += SQ(tmp);
|
|
blockSize --;
|
|
}
|
|
arm_sqrt_f32(accum,&tmp);
|
|
return(tmp);
|
|
}
|
|
#endif
|
|
#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
|
|
|
|
|
|
/**
|
|
* @} end of Euclidean group
|
|
*/
|