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- /******************************************************************************
- * @file statistics_functions_f16.h
- * @brief Public header file for CMSIS DSP Library
- * @version V1.10.0
- * @date 08 July 2021
- * Target Processor: Cortex-M and Cortex-A cores
- ******************************************************************************/
- /*
- * Copyright (c) 2010-2020 Arm Limited or its affiliates. All rights reserved.
- *
- * SPDX-License-Identifier: Apache-2.0
- *
- * Licensed under the Apache License, Version 2.0 (the License); you may
- * not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an AS IS BASIS, WITHOUT
- * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
- #ifndef _STATISTICS_FUNCTIONS_F16_H_
- #define _STATISTICS_FUNCTIONS_F16_H_
- #include "arm_math_types_f16.h"
- #include "arm_math_memory.h"
- #include "dsp/none.h"
- #include "dsp/utils.h"
- #include "dsp/basic_math_functions_f16.h"
- #include "dsp/fast_math_functions_f16.h"
- #ifdef __cplusplus
- extern "C"
- {
- #endif
- #if defined(ARM_FLOAT16_SUPPORTED)
- /**
- * @brief Sum of the squares of the elements of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output value.
- */
- void arm_power_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult);
- /**
- * @brief Mean value of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output value.
- */
- void arm_mean_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult);
- /**
- * @brief Variance of the elements of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output value.
- */
- void arm_var_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult);
- /**
- * @brief Root Mean Square of the elements of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output value.
- */
- void arm_rms_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult);
- /**
- * @brief Standard deviation of the elements of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output value.
- */
- void arm_std_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult);
- /**
- * @brief Minimum value of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output pointer
- * @param[out] pIndex is the array index of the minimum value in the input buffer.
- */
- void arm_min_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult,
- uint32_t * pIndex);
- /**
- * @brief Minimum value of absolute values of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output pointer
- * @param[out] pIndex is the array index of the minimum value in the input buffer.
- */
- void arm_absmin_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult,
- uint32_t * pIndex);
- /**
- * @brief Maximum value of a floating-point vector.
- * @param[in] pSrc points to the input buffer
- * @param[in] blockSize length of the input vector
- * @param[out] pResult maximum value returned here
- * @param[out] pIndex index of maximum value returned here
- */
- void arm_max_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult,
- uint32_t * pIndex);
- /**
- * @brief Maximum value of absolute values of a floating-point vector.
- * @param[in] pSrc points to the input buffer
- * @param[in] blockSize length of the input vector
- * @param[out] pResult maximum value returned here
- * @param[out] pIndex index of maximum value returned here
- */
- void arm_absmax_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult,
- uint32_t * pIndex);
- /**
- * @brief Minimum value of absolute values of a floating-point vector.
- * @param[in] pSrc is input pointer
- * @param[in] blockSize is the number of samples to process
- * @param[out] pResult is output pointer
- */
- void arm_absmin_no_idx_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult);
- /**
- * @brief Maximum value of a floating-point vector.
- * @param[in] pSrc points to the input buffer
- * @param[in] blockSize length of the input vector
- * @param[out] pResult maximum value returned here
- */
- void arm_absmax_no_idx_f16(
- const float16_t * pSrc,
- uint32_t blockSize,
- float16_t * pResult);
- /**
- * @brief Entropy
- *
- * @param[in] pSrcA Array of input values.
- * @param[in] blockSize Number of samples in the input array.
- * @return Entropy -Sum(p ln p)
- *
- */
- float16_t arm_entropy_f16(const float16_t * pSrcA,uint32_t blockSize);
- float16_t arm_logsumexp_f16(const float16_t *in, uint32_t blockSize);
- /**
- * @brief Dot product with log arithmetic
- *
- * Vectors are containing the log of the samples
- *
- * @param[in] pSrcA points to the first input vector
- * @param[in] pSrcB points to the second input vector
- * @param[in] blockSize number of samples in each vector
- * @param[in] pTmpBuffer temporary buffer of length blockSize
- * @return The log of the dot product .
- *
- */
- float16_t arm_logsumexp_dot_prod_f16(const float16_t * pSrcA,
- const float16_t * pSrcB,
- uint32_t blockSize,
- float16_t *pTmpBuffer);
- /**
- * @brief Kullback-Leibler
- *
- * @param[in] pSrcA Pointer to an array of input values for probability distribution A.
- * @param[in] pSrcB Pointer to an array of input values for probability distribution B.
- * @param[in] blockSize Number of samples in the input array.
- * @return Kullback-Leibler Divergence D(A || B)
- *
- */
- float16_t arm_kullback_leibler_f16(const float16_t * pSrcA
- ,const float16_t * pSrcB
- ,uint32_t blockSize);
- /**
- @brief Maximum value of a floating-point vector.
- @param[in] pSrc points to the input vector
- @param[in] blockSize number of samples in input vector
- @param[out] pResult maximum value returned here
- @return none
- */
- void arm_max_no_idx_f16(
- const float16_t *pSrc,
- uint32_t blockSize,
- float16_t *pResult);
- /**
- @brief Minimum value of a floating-point vector.
- @param[in] pSrc points to the input vector
- @param[in] blockSize number of samples in input vector
- @param[out] pResult minimum value returned here
- @return none
- */
- void arm_min_no_idx_f16(
- const float16_t *pSrc,
- uint32_t blockSize,
- float16_t *pResult);
- /**
- @brief Mean square error between two half precision float vectors.
- @param[in] pSrcA points to the first input vector
- @param[in] pSrcB points to the second input vector
- @param[in] blockSize number of samples in input vector
- @param[out] pResult mean square error
- @return none
- */
-
- void arm_mse_f16(
- const float16_t * pSrcA,
- const float16_t * pSrcB,
- uint32_t blockSize,
- float16_t * pResult);
- #endif /*defined(ARM_FLOAT16_SUPPORTED)*/
- #ifdef __cplusplus
- }
- #endif
- #endif /* ifndef _STATISTICS_FUNCTIONS_F16_H_ */
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