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/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_mean_f16.c
* Description: Mean value of a floating-point vector
*
* $Date: 23 April 2021
* $Revision: V1.9.0
*
* Target Processor: Cortex-M and Cortex-A cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2021 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.
*/
#include "dsp/statistics_functions_f16.h"
#if defined(ARM_FLOAT16_SUPPORTED)
/**
@ingroup groupStats
*/
/**
@defgroup mean Mean
Calculates the mean of the input vector. Mean is defined as the average of the elements in the vector.
The underlying algorithm is used:
<pre>
Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]) / blockSize;
</pre>
There are separate functions for floating-point, Q31, Q15, and Q7 data types.
*/
/**
@addtogroup mean
@{
*/
/**
@brief Mean 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 mean value returned here.
@return none
*/
#if defined(ARM_MATH_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE)
#include "arm_helium_utils.h"
void arm_mean_f16(
const float16_t * pSrc,
uint32_t blockSize,
float16_t * pResult)
{
int32_t blkCnt; /* loop counters */
f16x8_t vecSrc;
f16x8_t sumVec = vdupq_n_f16(0.0f16);
blkCnt = blockSize;
do {
mve_pred16_t p = vctp16q(blkCnt);
vecSrc = vldrhq_z_f16((float16_t const *) pSrc, p);
sumVec = vaddq_m_f16(sumVec, sumVec, vecSrc, p);
blkCnt -= 8;
pSrc += 8;
}
while (blkCnt > 0);
*pResult = (_Float16)vecAddAcrossF16Mve(sumVec) / (_Float16) blockSize;
}
#else
void arm_mean_f16(
const float16_t * pSrc,
uint32_t blockSize,
float16_t * pResult)
{
uint32_t blkCnt; /* Loop counter */
float16_t sum = 0.0f; /* Temporary result storage */
#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE)
/* Loop unrolling: Compute 4 outputs at a time */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += (_Float16)*pSrc++;
sum += (_Float16)*pSrc++;
sum += (_Float16)*pSrc++;
sum += (_Float16)*pSrc++;
/* Decrement the loop counter */
blkCnt--;
}
/* Loop unrolling: Compute remaining outputs */
blkCnt = blockSize % 0x4U;
#else
/* Initialize blkCnt with number of samples */
blkCnt = blockSize;
#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += (_Float16)*pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) / blockSize */
/* Store result to destination */
*pResult = ((_Float16)sum / (_Float16)blockSize);
}
#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
/**
@} end of mean group
*/
#endif /* #if defined(ARM_FLOAT16_SUPPORTED) */
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