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https://github.com/IcedRooibos/py32f0-template.git
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189 lines
4.1 KiB
C
189 lines
4.1 KiB
C
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/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_minkowski_distance_f32.c
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* Description: Minkowski 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 Minkowski
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@{
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*/
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/* 6.14 bug */
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#if defined (__ARMCC_VERSION) && (__ARMCC_VERSION >= 6100100) && (__ARMCC_VERSION < 6150001)
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__attribute__((weak)) float __powisf2(float a, int b)
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{
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const int recip = b < 0;
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float r = 1;
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while (1)
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{
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if (b & 1)
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r *= a;
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b /= 2;
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if (b == 0)
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break;
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a *= a;
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}
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return recip ? 1/r : r;
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}
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#endif
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/**
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* @brief Minkowski distance between two vectors
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*
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* @param[in] pA First vector
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* @param[in] pB Second vector
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* @param[in] order Distance order
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* @param[in] blockSize Number of samples
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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_minkowski_distance_f32(const float32_t *pA,const float32_t *pB, int32_t order, uint32_t blockSize)
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{
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uint32_t blkCnt;
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f32x4_t a, b, tmpV, sumV;
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sumV = 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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tmpV = vabdq(a, b);
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tmpV = vpowq_f32(tmpV, vdupq_n_f32(order));
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sumV = vaddq(sumV, tmpV);
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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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tmpV = vabdq(a, b);
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tmpV = vpowq_f32(tmpV, vdupq_n_f32(order));
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sumV = vaddq_m(sumV, sumV, tmpV, p0);
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}
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return (powf(vecAddAcrossF32Mve(sumV), (1.0f / (float32_t) order)));
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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_minkowski_distance_f32(const float32_t *pA,const float32_t *pB, int32_t order, uint32_t blockSize)
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{
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float32_t sum;
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uint32_t blkCnt;
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float32x4_t sumV,aV,bV, tmpV, n;
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float32x2_t sumV2;
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sum = 0.0f;
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sumV = vdupq_n_f32(0.0f);
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n = vdupq_n_f32(order);
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blkCnt = blockSize >> 2;
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while(blkCnt > 0)
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{
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aV = vld1q_f32(pA);
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bV = vld1q_f32(pB);
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pA += 4;
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pB += 4;
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tmpV = vabdq_f32(aV,bV);
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tmpV = vpowq_f32(tmpV,n);
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sumV = vaddq_f32(sumV, tmpV);
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blkCnt --;
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}
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sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV));
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sum = vget_lane_f32(sumV2, 0) + vget_lane_f32(sumV2, 1);
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blkCnt = blockSize & 3;
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while(blkCnt > 0)
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{
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sum += powf(fabsf(*pA++ - *pB++),order);
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blkCnt --;
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}
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return(powf(sum,(1.0f/order)));
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}
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#else
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float32_t arm_minkowski_distance_f32(const float32_t *pA,const float32_t *pB, int32_t order, uint32_t blockSize)
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{
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float32_t sum;
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uint32_t i;
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sum = 0.0f;
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for(i=0; i < blockSize; i++)
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{
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sum += powf(fabsf(pA[i] - pB[i]),order);
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}
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return(powf(sum,(1.0f/order)));
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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 Minkowski group
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*/
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