153 lines
3.5 KiB
C
153 lines
3.5 KiB
C
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/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_euclidean_distance_f32.c
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* Description: Euclidean distance between two vectors
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*
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* $Date: 23 April 2021
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* $Revision: V1.9.0
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*
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* Target Processor: Cortex-M and Cortex-A cores
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* -------------------------------------------------------------------- */
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/*
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* Copyright (C) 2010-2021 ARM Limited or its affiliates. All rights reserved.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "dsp/distance_functions.h"
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#include <limits.h>
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#include <math.h>
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/**
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@addtogroup Euclidean
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@{
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*/
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/**
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* @brief Euclidean distance between two vectors
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* @param[in] pA First vector
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* @param[in] pB Second vector
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* @param[in] blockSize vector length
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* @return distance
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*
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*/
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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#include "arm_helium_utils.h"
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#include "arm_vec_math.h"
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float32_t arm_euclidean_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
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{
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uint32_t blkCnt;
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float32_t tmp;
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f32x4_t a, b, accumV, tempV;
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accumV = vdupq_n_f32(0.0f);
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blkCnt = blockSize >> 2;
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while (blkCnt > 0U) {
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a = vld1q(pA);
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b = vld1q(pB);
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tempV = vsubq(a, b);
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accumV = vfmaq(accumV, tempV, tempV);
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pA += 4;
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pB += 4;
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blkCnt--;
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}
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/*
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* tail
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* (will be merged thru tail predication)
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*/
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blkCnt = blockSize & 3;
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if (blkCnt > 0U) {
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mve_pred16_t p0 = vctp32q(blkCnt);
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a = vldrwq_z_f32(pA, p0);
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b = vldrwq_z_f32(pB, p0);
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tempV = vsubq(a, b);
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accumV = vfmaq_m(accumV, tempV, tempV, p0);
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}
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arm_sqrt_f32(vecAddAcrossF32Mve(accumV), &tmp);
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return (tmp);
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}
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#else
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#if defined(ARM_MATH_NEON)
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#include "NEMath.h"
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float32_t arm_euclidean_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
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{
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float32_t accum=0.0f,tmp;
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uint32_t blkCnt;
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float32x4_t a,b,accumV;
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float32x2_t accumV2;
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accumV = vdupq_n_f32(0.0f);
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blkCnt = blockSize >> 2;
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while(blkCnt > 0)
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{
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a = vld1q_f32(pA);
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b = vld1q_f32(pB);
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a = vsubq_f32(a,b);
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accumV = vmlaq_f32(accumV,a,a);
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pA += 4;
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pB += 4;
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blkCnt --;
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}
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accumV2 = vpadd_f32(vget_low_f32(accumV),vget_high_f32(accumV));
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accum = vget_lane_f32(accumV2, 0) + vget_lane_f32(accumV2, 1);
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blkCnt = blockSize & 3;
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while(blkCnt > 0)
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{
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tmp = *pA++ - *pB++;
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accum += SQ(tmp);
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blkCnt --;
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}
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arm_sqrt_f32(accum,&tmp);
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return(tmp);
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}
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#else
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float32_t arm_euclidean_distance_f32(const float32_t *pA,const float32_t *pB, uint32_t blockSize)
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{
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float32_t accum=0.0f,tmp;
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while(blockSize > 0)
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{
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tmp = *pA++ - *pB++;
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accum += SQ(tmp);
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blockSize --;
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}
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arm_sqrt_f32(accum,&tmp);
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return(tmp);
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}
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#endif
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#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
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/**
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* @} end of Euclidean group
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*/
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