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147 lines
4.1 KiB
147 lines
4.1 KiB
/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_dot_prod_q7.c
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* Description: Q7 dot product
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*
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* $Date: 27. January 2017
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* $Revision: V.1.5.1
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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) 2010-2017 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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* @addtogroup dot_prod
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* @{
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*/
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/**
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* @brief Dot product of Q7 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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* <b>Scaling and Overflow Behavior:</b>
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* \par
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* The intermediate multiplications are in 1.7 x 1.7 = 2.14 format and these
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* results are added to an accumulator in 18.14 format.
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* Nonsaturating additions are used and there is no danger of wrap around as long as
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* the vectors are less than 2^18 elements long.
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* The return result is in 18.14 format.
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*/
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void arm_dot_prod_q7(
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q7_t * pSrcA,
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q7_t * pSrcB,
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uint32_t blockSize,
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q31_t * result)
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{
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uint32_t blkCnt; /* loop counter */
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q31_t sum = 0; /* Temporary variables to store output */
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#if defined (ARM_MATH_DSP)
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/* Run the below code for Cortex-M4 and Cortex-M3 */
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q31_t input1, input2; /* Temporary variables to store input */
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q31_t inA1, inA2, inB1, inB2; /* Temporary variables to store input */
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/*loop Unrolling */
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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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/* read 4 samples at a time from sourceA */
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input1 = *__SIMD32(pSrcA)++;
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/* read 4 samples at a time from sourceB */
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input2 = *__SIMD32(pSrcB)++;
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/* extract two q7_t samples to q15_t samples */
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inA1 = __SXTB16(__ROR(input1, 8));
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/* extract reminaing two samples */
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inA2 = __SXTB16(input1);
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/* extract two q7_t samples to q15_t samples */
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inB1 = __SXTB16(__ROR(input2, 8));
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/* extract reminaing two samples */
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inB2 = __SXTB16(input2);
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/* multiply and accumulate two samples at a time */
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sum = __SMLAD(inA1, inB1, sum);
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sum = __SMLAD(inA2, inB2, sum);
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/* Decrement the loop counter */
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blkCnt--;
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}
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/* If the blockSize is not a multiple of 4, compute any remaining output samples here.
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** No loop unrolling is used. */
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blkCnt = blockSize % 0x4U;
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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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/* Dot product and then store the results in a temporary buffer. */
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sum = __SMLAD(*pSrcA++, *pSrcB++, sum);
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/* Decrement the loop counter */
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blkCnt--;
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}
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#else
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/* Run the below code for Cortex-M0 */
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/* Initialize blkCnt with number of samples */
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blkCnt = blockSize;
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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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/* Dot product and then store the results in a temporary buffer. */
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sum += (q31_t) ((q15_t) * pSrcA++ * *pSrcB++);
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/* Decrement the loop counter */
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blkCnt--;
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}
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#endif /* #if defined (ARM_MATH_DSP) */
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/* Store the result in the destination buffer in 18.14 format */
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*result = sum;
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}
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/**
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* @} end of dot_prod group
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*/
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