Prepare for merge

pull/42/head
Silfurion 3 years ago committed by Christophe Favergeon
parent a973e9ed37
commit 9a1a7d284f

@ -1,8 +1,8 @@
/******************************************************************************
* @file basic_math_functions.h
* @brief Public header file for CMSIS DSP Library
* @version V1.10.0
* @date 08 July 2021
* @version V1.11.1
* @date 14 July 2022
* Target Processor: Cortex-M and Cortex-A cores
******************************************************************************/
/*

@ -1,8 +1,8 @@
/******************************************************************************
* @file basic_math_functions_f16.h
* @brief Public header file for CMSIS DSP Library
* @version V1.10.0
* @date 08 July 2021
* @version V1.10.1
* @date 14 July 2022
* Target Processor: Cortex-M and Cortex-A cores
******************************************************************************/
/*
@ -159,6 +159,8 @@ void arm_clip_f16(const float16_t * pSrc,
float16_t high,
uint32_t numSamples);
#endif /* defined(ARM_FLOAT16_SUPPORTED)*/
#ifdef __cplusplus

@ -1,8 +1,8 @@
/******************************************************************************
* @file statistics_functions.h
* @brief Public header file for CMSIS DSP Library
* @version V1.10.0
* @date 08 July 2021
* @version V1.10.1
* @date 14 July 2022
* Target Processor: Cortex-M and Cortex-A cores
******************************************************************************/
/*
@ -970,6 +970,67 @@ void arm_mse_f64(
uint32_t blockSize,
float64_t * pResult);
/**
* @brief Accumulation 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_accumulate_f32(
const float32_t * pSrc,
uint32_t blockSize,
float32_t * pResult);
/**
* @brief Accumulation 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_accumulate_f64(
const float64_t * pSrc,
uint32_t blockSize,
float64_t * pResult);
/**
* @brief Accumulation value of a Q7 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_accumulate_q7(
const q7_t * pSrc,
uint32_t blockSize,
q7_t * pResult);
/**
* @brief Accumulation value of a Q15 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_accumulate_q15(
const q15_t * pSrc,
uint32_t blockSize,
q15_t * pResult);
/**
* @brief Accumulation value of a Q31 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_accumulate_q31(
const q31_t * pSrc,
uint32_t blockSize,
q31_t * pResult);
#ifdef __cplusplus
}
#endif

@ -1,8 +1,8 @@
/******************************************************************************
* @file statistics_functions_f16.h
* @brief Public header file for CMSIS DSP Library
* @version V1.10.0
* @date 08 July 2021
* @version V1.10.1
* @date 14 July 2022
* Target Processor: Cortex-M and Cortex-A cores
******************************************************************************/
/*
@ -258,6 +258,19 @@ void arm_mse_f16(
uint32_t blockSize,
float16_t * pResult);
/**
* @brief Sum 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_accumulate_f16(
const float16_t * pSrc,
uint32_t blockSize,
float16_t * pResult);
#endif /*defined(ARM_FLOAT16_SUPPORTED)*/
#ifdef __cplusplus
}

@ -35,3 +35,4 @@
#include "arm_scale_f16.c"
#include "arm_sub_f16.c"
#include "arm_clip_f16.c"

@ -3,8 +3,8 @@
* Title: StatisticsFunctions.c
* Description: Combination of all statistics function source files.
*
* $Date: 16. March 2020
* $Revision: V1.1.0
* $Date: 14 July 2022
* $Revision: V1.1.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
@ -98,3 +98,9 @@
#include "arm_mse_q31.c"
#include "arm_mse_f32.c"
#include "arm_mse_f64.c"
#include "arm_accumulate_f32.c"
#include "arm_accumulate_f64.c"
#include "arm_accumulate_q7.c"
#include "arm_accumulate_q15.c"
#include "arm_accumulate_q31.c"

@ -3,8 +3,8 @@
* Title: StatisticsFunctions.c
* Description: Combination of all statistics function source files.
*
* $Date: 16. March 2020
* $Revision: V1.1.0
* $Date: 14 July 2022
* $Revision: V1.1.1
*
* Target Processor: Cortex-M cores
* -------------------------------------------------------------------- */
@ -44,3 +44,4 @@
#include "arm_absmax_no_idx_f16.c"
#include "arm_absmin_no_idx_f16.c"
#include "arm_mse_f16.c"
#include "arm_accumulate_f16.c"

@ -0,0 +1,152 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_accumulate_f16.c
* Description: accumulation value of a floating-point vector
*
* $Date: 14 July 2022
* $Revision: V1.0.0
*
* 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 Accumulation
Calculates the accumulation of the input vector. Sum is defined as the addition of the elements in the vector.
The underlying algorithm is used:
<pre>
Result = (pSrc[0] + pSrc[1] + pSrc[2] + ... + pSrc[blockSize-1]);
</pre>
There are separate functions for floating-point, Q31, Q15, and Q7 data types.
*/
/**
@addtogroup Accumulation
@{
*/
/**
@brief accumulate 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 sum value returned here.
@return none
*/
#if defined(ARM_MATH_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE)
#include "arm_helium_utils.h"
void arm_accumulate_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 = vecAddAcrossF16Mve(sumVec);
}
#else
void arm_accumulate_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]) */
/* Store result to destination */
*pResult = sum ;
}
#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
/**
@} end of Accumulation group
*/
#endif /* #if defined(ARM_FLOAT16_SUPPORTED) */

@ -0,0 +1,198 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_accumulate_f32.c
* Description: Sum value of a floating-point vector
*
* $Date: 14 July 2022
* $Revision: V1.0.0
*
* 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.h"
/**
@ingroup groupStats
*/
/**
@addtogroup Accumulation
@{
*/
/**
@brief Accumulation 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 sum value returned here.
@return none
*/
#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
#include "arm_helium_utils.h"
void arm_accumulate_f32(
const float32_t * pSrc,
uint32_t blockSize,
float32_t * pResult)
{
uint32_t blkCnt; /* loop counters */
f32x4_t vecSrc;
f32x4_t sumVec = vdupq_n_f32(0.0f);
float32_t sum = 0.0f;
/* Compute 4 outputs at a time */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
vecSrc = vldrwq_f32(pSrc);
sumVec = vaddq_f32(sumVec, vecSrc);
blkCnt --;
pSrc += 4;
}
sum = vecAddAcrossF32Mve(sumVec);
/* Tail */
blkCnt = blockSize & 0x3;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
*pResult = sum;
}
#else
#if defined(ARM_MATH_NEON_EXPERIMENTAL) && !defined(ARM_MATH_AUTOVECTORIZE)
void arm_accumulate_f32(
const float32_t * pSrc,
uint32_t blockSize,
float32_t * pResult)
{
float32_t sum = 0.0f; /* Temporary result storage */
float32x4_t sumV = vdupq_n_f32(0.0f); /* Temporary result storage */
float32x2_t sumV2;
uint32_t blkCnt; /* Loop counter */
float32x4_t inV;
blkCnt = blockSize >> 2U;
/* Compute 4 outputs at a time.
** a second loop below computes the remaining 1 to 3 samples. */
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
inV = vld1q_f32(pSrc);
sumV = vaddq_f32(sumV, inV);
pSrc += 4;
/* Decrement the loop counter */
blkCnt--;
}
sumV2 = vpadd_f32(vget_low_f32(sumV),vget_high_f32(sumV));
sum = vget_lane_f32(sumV2, 0) + vget_lane_f32(sumV2, 1);
/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
** No loop unrolling is used. */
blkCnt = blockSize & 3;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
/* Decrement the loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store the result to the destination */
*pResult = sum;
}
#else
void arm_accumulate_f32(
const float32_t * pSrc,
uint32_t blockSize,
float32_t * pResult)
{
uint32_t blkCnt; /* Loop counter */
float32_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 += *pSrc++;
sum += *pSrc++;
sum += *pSrc++;
sum += *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 += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store result to destination */
*pResult = sum ;
}
#endif /* #if defined(ARM_MATH_NEON) */
#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
/**
@} end of Accumulation group
*/

@ -0,0 +1,127 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_accumulate_f64.c
* Description: Accumulation value of a floating-point vector
*
* $Date: 14 July 2022
* $Revision: V1.0.0
*
* 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/basic_math_functions.h"
/**
@ingroup groupStats
*/
/**
@addtogroup Accumulation
@{
*/
/**
@brief Accumulation 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 sum value returned here.
@return none
*/
#if defined(ARM_MATH_NEON)
void arm_accumulate_f64(
const float64_t * pSrc,
uint32_t blockSize,
float64_t * pResult)
{
uint32_t blkCnt; /* Loop counter */
/*Neon buffers*/
float64x2_t vSum = vdupq_n_f64(0.0f);
float64x2_t afterLoad ;
float64_t sum = 0.; /* Temporary result storage */
/* Initialize blkCnt with number of samples */
blkCnt = blockSize >> 1U;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
afterLoad = vld1q_f64(pSrc);
vSum = vaddq_f64(vSum, afterLoad);
/* Decrement loop counter */
blkCnt--;
pSrc += 2;
}
sum = vaddvq_f64(vSum);
/* Tail */
blkCnt = blockSize & 1 ;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store result to destination */
*pResult = sum;
}
#else
void arm_accumulate_f64(
const float64_t * pSrc,
uint32_t blockSize,
float64_t * pResult)
{
uint32_t blkCnt; /* Loop counter */
float64_t sum = 0.; /* Temporary result storage */
/* Initialize blkCnt with number of samples */
blkCnt = blockSize;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store result to destination */
*pResult = sum;
}
#endif
/**
@} end of Accumulation group
*/

@ -0,0 +1,156 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_accumulate_q15.c
* Description: Accumulation value of a Q15 vector
*
* $Date: 14 July 2022
* $Revision: V1.0.0
*
* 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.h"
/**
@ingroup groupStats
*/
/**
@addtogroup Accumulation
@{
*/
/**
@brief Accumulation value of a Q15 vector.
@param[in] pSrc points to the input vector
@param[in] blockSize number of samples in input vector
@param[out] pResult sum value returned here
@return none
@par Scaling and Overflow Behavior
The function is implemented using a 32-bit internal accumulator.
The input is represented in 1.15 format and is accumulated in a 32-bit
accumulator in 17.15 format.
There is no risk of internal overflow with this approach, and the
full precision of intermediate result is preserved.
Finally, the accumulator is truncated to yield a result of 1.15 format.
*/
#if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE)
void arm_accumulate_q15(
const q15_t * pSrc,
uint32_t blockSize,
q15_t * pResult)
{
uint32_t blkCnt; /* loop counters */
q15x8_t vecSrc;
q31_t sum = 0L;
/* Compute 8 outputs at a time */
blkCnt = blockSize >> 3U;
while (blkCnt > 0U)
{
vecSrc = vldrhq_s16(pSrc);
/*
* sum lanes
*/
sum = vaddvaq(sum, vecSrc);
blkCnt--;
pSrc += 8;
}
/* Tail */
blkCnt = blockSize & 0x7;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store the result to the destination */
*pResult = sum;
}
#else
void arm_accumulate_q15(
const q15_t * pSrc,
uint32_t blockSize,
q15_t * pResult)
{
uint32_t blkCnt; /* Loop counter */
q31_t sum = 0; /* Temporary result storage */
#if defined (ARM_MATH_LOOPUNROLL)
q31_t in;
#endif
#if defined (ARM_MATH_LOOPUNROLL)
/* Loop unrolling: Compute 4 outputs at a time */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
in = read_q15x2_ia (&pSrc);
sum += ((in << 16U) >> 16U);
sum += (in >> 16U);
in = read_q15x2_ia (&pSrc);
sum += ((in << 16U) >> 16U);
sum += (in >> 16U);
/* 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 += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store result to destination */
*pResult = sum;
}
#endif /* defined(ARM_MATH_MVEI) */
/**
@} end of Accumulation group
*/

@ -0,0 +1,149 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_accumulate_q31.c
* Description: Accumulation value of a Q31 vector
*
* $Date: 14 July 2022
* $Revision: V1.0.0
*
* 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.h"
/**
@ingroup groupStats
*/
/**
@addtogroup Accumulation
@{
*/
/**
@brief Accumulation value of a Q31 vector.
@param[in] pSrc points to the input vector
@param[in] blockSize number of samples in input vector
@param[out] pResult sum value returned here
@return none
@par Scaling and Overflow Behavior
The function is implemented using a 64-bit internal accumulator.
The input is represented in 1.31 format and is accumulated in a 64-bit
accumulator in 33.31 format.
There is no risk of internal overflow with this approach, and the
full precision of intermediate result is preserved.
Finally, the accumulator is truncated to yield a result of 1.31 format.
*/
#if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE)
void arm_accumulate_q31(
const q31_t * pSrc,
uint32_t blockSize,
q31_t * pResult)
{
uint32_t blkCnt; /* loop counters */
q31x4_t vecSrc;
q63_t sum = 0LL;
/* Compute 4 outputs at a time */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
vecSrc = vldrwq_s32(pSrc);
/*
* sum lanes
*/
sum = vaddlvaq(sum, vecSrc);
blkCnt --;
pSrc += 4;
}
/* Tail */
blkCnt = blockSize & 0x3;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
blkCnt --;
}
*pResult = sum;
}
#else
void arm_accumulate_q31(
const q31_t * pSrc,
uint32_t blockSize,
q31_t * pResult)
{
uint32_t blkCnt; /* Loop counter */
q63_t sum = 0; /* Temporary result storage */
#if defined (ARM_MATH_LOOPUNROLL)
/* 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 += *pSrc++;
sum += *pSrc++;
sum += *pSrc++;
sum += *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 += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store result to destination */
*pResult = sum;
}
#endif /* defined(ARM_MATH_MVEI) */
/**
@} end of Accumulation group
*/

@ -0,0 +1,153 @@
/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_accumulate_q7.c
* Description: Accumulation value of a Q7 vector
*
* $Date: 14 July 2022
* $Revision: V1.0.0
*
* 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.h"
/**
@ingroup groupStats
*/
/**
@addtogroup Accumulation
@{
*/
/**
@brief Accumulation value of a Q7 vector.
@param[in] pSrc points to the input vector
@param[in] blockSize number of samples in input vector
@param[out] pResult sum value returned here
@return none
@par Scaling and Overflow Behavior
The function is implemented using a 32-bit internal accumulator.
The input is represented in 1.7 format and is accumulated in a 32-bit
accumulator in 25.7 format.
There is no risk of internal overflow with this approach, and the
full precision of intermediate result is preserved.
Finally, the accumulator is truncated to yield a result of 1.7 format.
*/
#if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE)
void arm_accumulate_q7(
const q7_t * pSrc,
uint32_t blockSize,
q7_t * pResult)
{
uint32_t blkCnt; /* loop counters */
q7x16_t vecSrc;
q31_t sum = 0L;
blkCnt = blockSize >> 4;
while (blkCnt > 0U)
{
vecSrc = vldrbq_s8(pSrc);
/*
* sum lanes
*/
sum = vaddvaq(sum, vecSrc);
blkCnt--;
pSrc += 16;
}
blkCnt = blockSize & 0xF;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
sum += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store the result to the destination */
*pResult = sum;
}
#else
void arm_accumulate_q7(
const q7_t * pSrc,
uint32_t blockSize,
q7_t * pResult)
{
uint32_t blkCnt; /* Loop counter */
q31_t sum = 0; /* Temporary result storage */
#if defined (ARM_MATH_LOOPUNROLL)
q31_t in;
#endif
#if defined (ARM_MATH_LOOPUNROLL)
/* Loop unrolling: Compute 4 outputs at a time */
blkCnt = blockSize >> 2U;
while (blkCnt > 0U)
{
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
in = read_q7x4_ia (&pSrc);
sum += ((in << 24U) >> 24U);
sum += ((in << 16U) >> 24U);
sum += ((in << 8U) >> 24U);
sum += (in >> 24U);
/* 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 += *pSrc++;
/* Decrement loop counter */
blkCnt--;
}
/* C = (A[0] + A[1] + A[2] + ... + A[blockSize-1]) */
/* Store result to destination */
*pResult = sum;
}
#endif /* defined(ARM_MATH_MVEI) */
/**
@} end of Accumulation group
*/
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