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172 lines
4.1 KiB
C
172 lines
4.1 KiB
C
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/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_canberra_distance_f16.c
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* Description: Canberra 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_f16.h"
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#if defined(ARM_FLOAT16_SUPPORTED)
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#include <limits.h>
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#include <math.h>
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/**
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@ingroup FloatDist
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*/
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/**
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@defgroup Canberra Canberra distance
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Canberra distance
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*/
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/**
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@addtogroup Canberra
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@{
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*/
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/**
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* @brief Canberra distance between two vectors
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*
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* This function may divide by zero when samples pA[i] and pB[i] are both zero.
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* The result of the computation will be correct. So the division per zero may be
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* ignored.
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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] 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_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE)
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#include "arm_helium_utils.h"
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#include "arm_vec_math_f16.h"
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float16_t arm_canberra_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize)
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{
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_Float16 accum = 0.0f16;
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uint32_t blkCnt;
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f16x8_t a, b, c, accumV;
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accumV = vdupq_n_f16(0.0f);
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blkCnt = blockSize >> 3;
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while (blkCnt > 0) {
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a = vld1q(pA);
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b = vld1q(pB);
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c = vabdq(a, b);
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a = vabsq(a);
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b = vabsq(b);
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a = vaddq(a, b);
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/*
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* May divide by zero when a and b have both the same lane at zero.
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*/
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a = vrecip_hiprec_f16(a);
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/*
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* Force result of a division by 0 to 0. It the behavior of the
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* sklearn canberra function.
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*/
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a = vdupq_m_n_f16(a, 0.0f, vcmpeqq(a, 0.0f));
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c = vmulq(c, a);
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accumV = vaddq(accumV, c);
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pA += 8;
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pB += 8;
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blkCnt--;
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}
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blkCnt = blockSize & 7;
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if (blkCnt > 0U) {
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mve_pred16_t p0 = vctp16q(blkCnt);
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a = vldrhq_z_f16(pA, p0);
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b = vldrhq_z_f16(pB, p0);
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c = vabdq(a, b);
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a = vabsq(a);
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b = vabsq(b);
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a = vaddq(a, b);
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/*
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* May divide by zero when a and b have both the same lane at zero.
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*/
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a = vrecip_hiprec_f16(a);
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/*
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* Force result of a division by 0 to 0. It the behavior of the
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* sklearn canberra function.
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*/
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a = vdupq_m_n_f16(a, 0.0f, vcmpeqq(a, 0.0f));
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c = vmulq(c, a);
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accumV = vaddq_m(accumV, accumV, c, p0);
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}
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accum = vecAddAcrossF16Mve(accumV);
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return (accum);
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}
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#else
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float16_t arm_canberra_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize)
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{
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_Float16 accum=0.0f, tmpA, tmpB,diff,sum;
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while(blockSize > 0)
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{
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tmpA = *pA++;
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tmpB = *pB++;
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diff = fabsf((float32_t)((_Float16)tmpA - (_Float16)tmpB));
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sum = (_Float16)fabsf((float32_t)tmpA) + (_Float16)fabsf((float32_t)tmpB);
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if (((_Float16)tmpA != 0.0f16) || ((_Float16)tmpB != 0.0f16))
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{
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accum += ((_Float16)diff / (_Float16)sum);
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}
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blockSize --;
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}
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return(accum);
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}
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#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
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/**
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* @} end of Canberra group
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*/
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#endif /* #if defined(ARM_FLOAT16_SUPPORTED) */
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