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			132 lines
		
	
	
		
			3.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			132 lines
		
	
	
		
			3.0 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
| 
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| /* ----------------------------------------------------------------------
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|  * Project:      CMSIS DSP Library
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|  * Title:        arm_euclidean_distance_f16.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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| 
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| #include "dsp/distance_functions_f16.h"
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| 
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| #if defined(ARM_FLOAT16_SUPPORTED)
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| 
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| #include <limits.h>
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| #include <math.h>
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| 
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| 
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| /**
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|   @ingroup FloatDist
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|  */
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| 
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| /**
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|   @defgroup Euclidean Euclidean distance
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| 
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|   Euclidean distance
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|  */
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| 
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| 
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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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| 
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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_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE)
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| 
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| #include "arm_helium_utils.h"
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| #include "arm_vec_math.h"
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| float16_t arm_euclidean_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize)
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| {
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|     uint32_t        blkCnt;
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|     float16_t       tmp;
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|     f16x8_t         a, b, accumV, tempV;
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| 
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|     accumV = vdupq_n_f16(0.0f);
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| 
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|     blkCnt = blockSize >> 3;
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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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| 
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|         tempV = vsubq(a, b);
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|         accumV = vfmaq(accumV, tempV, tempV);
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| 
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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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| 
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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 & 7;
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|     if (blkCnt > 0U) {
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|         mve_pred16_t    p0 = vctp16q(blkCnt);
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| 
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|         a = vldrhq_z_f16(pA, p0);
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|         b = vldrhq_z_f16(pB, p0);
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| 
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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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| 
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|     arm_sqrt_f16(vecAddAcrossF16Mve(accumV), &tmp);
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|     return (tmp);
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| }
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| 
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| #else
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| float16_t arm_euclidean_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,tmp;
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|    float16_t result;
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| 
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|    while(blockSize > 0)
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|    {
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|       tmp = (_Float16)*pA++ - (_Float16)*pB++;
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|       accum += SQ(tmp);
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|       blockSize --;
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|    }
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|    arm_sqrt_f16(accum,&result);
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|    return(result);
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| }
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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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| 
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| /**
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|  * @} end of Euclidean group
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|  */
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| 
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| #endif /* #if defined(ARM_FLOAT16_SUPPORTED) */ 
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| 
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