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https://github.com/IcedRooibos/py32f0-template.git
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181 lines
5.2 KiB
C
181 lines
5.2 KiB
C
/******************************************************************************
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* @file distance_functions_f16.h
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* @brief Public header file for CMSIS DSP Library
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* @version V1.10.0
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* @date 08 July 2021
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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) 2010-2020 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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#ifndef _DISTANCE_FUNCTIONS_F16_H_
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#define _DISTANCE_FUNCTIONS_F16_H_
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#include "arm_math_types_f16.h"
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#include "arm_math_memory.h"
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#include "dsp/none.h"
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#include "dsp/utils.h"
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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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/* Defined in minkowski_f32 */
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__attribute__((weak)) float __powisf2(float a, int b);
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#endif
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#include "dsp/statistics_functions_f16.h"
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#include "dsp/basic_math_functions_f16.h"
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#include "dsp/fast_math_functions_f16.h"
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#ifdef __cplusplus
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extern "C"
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{
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#endif
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#if defined(ARM_FLOAT16_SUPPORTED)
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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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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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* @brief Bray-Curtis 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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float16_t arm_braycurtis_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize);
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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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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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* @brief Chebyshev 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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float16_t arm_chebyshev_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize);
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/**
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* @brief Cityblock (Manhattan) 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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float16_t arm_cityblock_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize);
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/**
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* @brief Correlation distance between two vectors
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*
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* The input vectors are modified in place !
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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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float16_t arm_correlation_distance_f16(float16_t *pA,float16_t *pB, uint32_t blockSize);
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/**
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* @brief Cosine 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] blockSize vector length
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* @return distance
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*
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*/
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float16_t arm_cosine_distance_f16(const float16_t *pA,const float16_t *pB, uint32_t blockSize);
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/**
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* @brief Jensen-Shannon distance between two vectors
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*
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* This function is assuming that elements of second vector are > 0
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* and 0 only when the corresponding element of first vector is 0.
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* Otherwise the result of the computation does not make sense
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* and for speed reasons, the cases returning NaN or Infinity are not
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* managed.
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*
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* When the function is computing x log (x / y) with x 0 and y 0,
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* it will compute the right value (0) but a division per zero will occur
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* and shoudl be ignored in client code.
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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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float16_t arm_jensenshannon_distance_f16(const float16_t *pA,const float16_t *pB,uint32_t blockSize);
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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] n Norm order (>= 2)
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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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float16_t arm_minkowski_distance_f16(const float16_t *pA,const float16_t *pB, int32_t order, uint32_t blockSize);
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#endif /*defined(ARM_FLOAT16_SUPPORTED)*/
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#ifdef __cplusplus
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}
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#endif
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#endif /* ifndef _DISTANCE_FUNCTIONS_F16_H_ */
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