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Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c
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Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c
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/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_dot_prod_f32.c
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* Description: Floating-point dot product
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*
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* $Date: 18. March 2019
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* $Revision: V1.6.0
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*
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* Target Processor: Cortex-M cores
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* -------------------------------------------------------------------- */
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/*
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* Copyright (C) 2010-2019 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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#include "arm_math.h"
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/**
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@ingroup groupMath
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*/
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/**
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@defgroup BasicDotProd Vector Dot Product
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Computes the dot product of two vectors.
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The vectors are multiplied element-by-element and then summed.
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<pre>
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sum = pSrcA[0]*pSrcB[0] + pSrcA[1]*pSrcB[1] + ... + pSrcA[blockSize-1]*pSrcB[blockSize-1]
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</pre>
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There are separate functions for floating-point, Q7, Q15, and Q31 data types.
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*/
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/**
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@addtogroup BasicDotProd
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@{
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*/
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/**
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@brief Dot product of floating-point vectors.
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@param[in] pSrcA points to the first input vector.
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@param[in] pSrcB points to the second input vector.
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@param[in] blockSize number of samples in each vector.
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@param[out] result output result returned here.
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@return none
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*/
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void arm_dot_prod_f32(
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const float32_t * pSrcA,
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const float32_t * pSrcB,
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uint32_t blockSize,
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float32_t * result)
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{
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uint32_t blkCnt; /* Loop counter */
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float32_t sum = 0.0f; /* Temporary return variable */
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#if defined(ARM_MATH_NEON)
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float32x4_t vec1;
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float32x4_t vec2;
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float32x4_t res;
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float32x4_t accum = vdupq_n_f32(0);
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/* Compute 4 outputs at a time */
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blkCnt = blockSize >> 2U;
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vec1 = vld1q_f32(pSrcA);
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vec2 = vld1q_f32(pSrcB);
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while (blkCnt > 0U)
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{
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/* C = A[0]*B[0] + A[1]*B[1] + A[2]*B[2] + ... + A[blockSize-1]*B[blockSize-1] */
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/* Calculate dot product and then store the result in a temporary buffer. */
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accum = vmlaq_f32(accum, vec1, vec2);
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/* Increment pointers */
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pSrcA += 4;
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pSrcB += 4;
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vec1 = vld1q_f32(pSrcA);
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vec2 = vld1q_f32(pSrcB);
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/* Decrement the loop counter */
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blkCnt--;
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}
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#if __aarch64__
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sum = vpadds_f32(vpadd_f32(vget_low_f32(accum), vget_high_f32(accum)));
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#else
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sum = (vpadd_f32(vget_low_f32(accum), vget_high_f32(accum)))[0] + (vpadd_f32(vget_low_f32(accum), vget_high_f32(accum)))[1];
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#endif
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/* Tail */
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blkCnt = blockSize & 0x3;
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#else
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#if defined (ARM_MATH_LOOPUNROLL)
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/* Loop unrolling: Compute 4 outputs at a time */
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blkCnt = blockSize >> 2U;
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/* First part of the processing with loop unrolling. Compute 4 outputs at a time.
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** a second loop below computes the remaining 1 to 3 samples. */
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while (blkCnt > 0U)
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{
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/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
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/* Calculate dot product and store result in a temporary buffer. */
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sum += (*pSrcA++) * (*pSrcB++);
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sum += (*pSrcA++) * (*pSrcB++);
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sum += (*pSrcA++) * (*pSrcB++);
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sum += (*pSrcA++) * (*pSrcB++);
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/* Decrement loop counter */
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blkCnt--;
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}
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/* Loop unrolling: Compute remaining outputs */
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blkCnt = blockSize % 0x4U;
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#else
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/* Initialize blkCnt with number of samples */
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blkCnt = blockSize;
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#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
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#endif /* #if defined(ARM_MATH_NEON) */
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while (blkCnt > 0U)
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{
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/* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
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/* Calculate dot product and store result in a temporary buffer. */
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sum += (*pSrcA++) * (*pSrcB++);
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/* Decrement loop counter */
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blkCnt--;
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}
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/* Store result in destination buffer */
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*result = sum;
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}
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/**
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@} end of BasicDotProd group
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*/
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