You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
421 lines
12 KiB
C
421 lines
12 KiB
C
/* ----------------------------------------------------------------------
|
|
* Project: CMSIS DSP Library
|
|
* Title: arm_mat_vec_mult_q7.c
|
|
* Description: Q7 matrix and vector multiplication
|
|
*
|
|
* $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/matrix_functions.h"
|
|
|
|
/**
|
|
* @ingroup groupMatrix
|
|
*/
|
|
|
|
|
|
|
|
/**
|
|
* @addtogroup MatrixVectMult
|
|
* @{
|
|
*/
|
|
|
|
/**
|
|
* @brief Q7 matrix and vector multiplication.
|
|
* @param[in] *pSrcMat points to the input matrix structure
|
|
* @param[in] *pVec points to the input vector
|
|
* @param[out] *pDst points to the output vector
|
|
*/
|
|
#if defined(ARM_MATH_MVEI) && !defined(ARM_MATH_AUTOVECTORIZE)
|
|
|
|
#include "arm_helium_utils.h"
|
|
|
|
void arm_mat_vec_mult_q7(
|
|
const arm_matrix_instance_q7 * pSrcMat,
|
|
const q7_t *pSrcVec,
|
|
q7_t *pDstVec)
|
|
{
|
|
const q7_t *pMatSrc = pSrcMat->pData;
|
|
const q7_t *pMat0, *pMat1;
|
|
uint32_t numRows = pSrcMat->numRows;
|
|
uint32_t numCols = pSrcMat->numCols;
|
|
q7_t *px;
|
|
int32_t row;
|
|
uint16_t blkCnt; /* loop counters */
|
|
|
|
row = numRows;
|
|
px = pDstVec;
|
|
|
|
/*
|
|
* compute 4x64-bit accumulators per loop
|
|
*/
|
|
while (row >= 4)
|
|
{
|
|
q7_t const *pMat0Vec, *pMat1Vec, *pMat2Vec, *pMat3Vec, *pVec;
|
|
const q7_t *pMat2, *pMat3;
|
|
q7_t const *pSrcVecPtr = pSrcVec;
|
|
q31_t acc0, acc1, acc2, acc3;
|
|
q7x16_t vecMatA0, vecMatA1, vecMatA2, vecMatA3, vecIn;
|
|
|
|
pVec = pSrcVec;
|
|
/*
|
|
* Initialize the pointer pIn1 to point to the starting address of the column being processed
|
|
*/
|
|
pMat0 = pMatSrc;
|
|
pMat1 = pMat0 + numCols;
|
|
pMat2 = pMat1 + numCols;
|
|
pMat3 = pMat2 + numCols;
|
|
|
|
acc0 = 0L;
|
|
acc1 = 0L;
|
|
acc2 = 0L;
|
|
acc3 = 0L;
|
|
|
|
pMat0Vec = pMat0;
|
|
pMat1Vec = pMat1;
|
|
pMat2Vec = pMat2;
|
|
pMat3Vec = pMat3;
|
|
pVec = pSrcVecPtr;
|
|
|
|
blkCnt = numCols >> 4;
|
|
while (blkCnt > 0U)
|
|
{
|
|
|
|
vecMatA0 = vld1q(pMat0Vec);
|
|
pMat0Vec += 16;
|
|
vecMatA1 = vld1q(pMat1Vec);
|
|
pMat1Vec += 16;
|
|
vecMatA2 = vld1q(pMat2Vec);
|
|
pMat2Vec += 16;
|
|
vecMatA3 = vld1q(pMat3Vec);
|
|
pMat3Vec += 16;
|
|
vecIn = vld1q(pVec);
|
|
pVec += 16;
|
|
|
|
acc0 = vmladavaq(acc0, vecIn, vecMatA0);
|
|
acc1 = vmladavaq(acc1, vecIn, vecMatA1);
|
|
acc2 = vmladavaq(acc2, vecIn, vecMatA2);
|
|
acc3 = vmladavaq(acc3, vecIn, vecMatA3);
|
|
|
|
blkCnt--;
|
|
}
|
|
/*
|
|
* tail
|
|
* (will be merged thru tail predication)
|
|
*/
|
|
blkCnt = numCols & 0xF;
|
|
if (blkCnt > 0U)
|
|
{
|
|
mve_pred16_t p0 = vctp8q(blkCnt);
|
|
|
|
vecMatA0 = vld1q(pMat0Vec);
|
|
vecMatA1 = vld1q(pMat1Vec);
|
|
vecMatA2 = vld1q(pMat2Vec);
|
|
vecMatA3 = vld1q(pMat3Vec);
|
|
vecIn = vldrbq_z_s8(pVec, p0);
|
|
|
|
acc0 = vmladavaq(acc0, vecIn, vecMatA0);
|
|
acc1 = vmladavaq(acc1, vecIn, vecMatA1);
|
|
acc2 = vmladavaq(acc2, vecIn, vecMatA2);
|
|
acc3 = vmladavaq(acc3, vecIn, vecMatA3);
|
|
}
|
|
|
|
*px++ = __SSAT(acc0 >> 7, 8);
|
|
*px++ = __SSAT(acc1 >> 7, 8);
|
|
*px++ = __SSAT(acc2 >> 7, 8);
|
|
*px++ = __SSAT(acc3 >> 7, 8);
|
|
|
|
pMatSrc += numCols * 4;
|
|
/*
|
|
* Decrement the row loop counter
|
|
*/
|
|
row -= 4;
|
|
}
|
|
|
|
/*
|
|
* process any remaining rows pair
|
|
*/
|
|
if (row >= 2)
|
|
{
|
|
q7_t const *pMat0Vec, *pMat1Vec, *pVec;
|
|
q7_t const *pSrcVecPtr = pSrcVec;
|
|
q31_t acc0, acc1;
|
|
q7x16_t vecMatA0, vecMatA1, vecIn;
|
|
|
|
/*
|
|
* For every row wise process, the pInVec pointer is set
|
|
* to the starting address of the vector
|
|
*/
|
|
pVec = pSrcVec;
|
|
|
|
/*
|
|
* Initialize the pointer pIn1 to point to the starting address of the column being processed
|
|
*/
|
|
pMat0 = pMatSrc;
|
|
pMat1 = pMat0 + numCols;
|
|
|
|
acc0 = 0;
|
|
acc1 = 0;
|
|
|
|
pMat0Vec = pMat0;
|
|
pMat1Vec = pMat1;
|
|
pVec = pSrcVecPtr;
|
|
|
|
blkCnt = numCols >> 4;
|
|
while (blkCnt > 0U)
|
|
{
|
|
vecMatA0 = vld1q(pMat0Vec);
|
|
pMat0Vec += 16;
|
|
vecMatA1 = vld1q(pMat1Vec);
|
|
pMat1Vec += 16;
|
|
vecIn = vld1q(pVec);
|
|
pVec += 16;
|
|
|
|
acc0 = vmladavaq(acc0, vecIn, vecMatA0);
|
|
acc1 = vmladavaq(acc1, vecIn, vecMatA1);
|
|
|
|
blkCnt--;
|
|
}
|
|
|
|
/*
|
|
* tail
|
|
* (will be merged thru tail predication)
|
|
*/
|
|
blkCnt = numCols & 0xF;
|
|
if (blkCnt > 0U)
|
|
{
|
|
mve_pred16_t p0 = vctp8q(blkCnt);
|
|
|
|
vecMatA0 = vld1q(pMat0Vec);
|
|
vecMatA1 = vld1q(pMat1Vec);
|
|
vecIn = vldrbq_z_s8(pVec, p0);
|
|
|
|
acc0 = vmladavaq(acc0, vecIn, vecMatA0);
|
|
acc1 = vmladavaq(acc1, vecIn, vecMatA1);
|
|
}
|
|
|
|
*px++ = __SSAT(acc0 >> 7, 8);
|
|
*px++ = __SSAT(acc1 >> 7, 8);
|
|
|
|
pMatSrc += numCols * 2;
|
|
/*
|
|
* Decrement the row loop counter
|
|
*/
|
|
row -= 2;
|
|
}
|
|
|
|
if (row >= 1)
|
|
{
|
|
q7_t const *pMat0Vec, *pVec;
|
|
q7_t const *pSrcVecPtr = pSrcVec;
|
|
q31_t acc0;
|
|
q7x16_t vecMatA0, vecIn;
|
|
|
|
/*
|
|
* For every row wise process, the pInVec pointer is set
|
|
* to the starting address of the vector
|
|
*/
|
|
pVec = pSrcVec;
|
|
|
|
/*
|
|
* Initialize the pointer pIn1 to point to the starting address of the column being processed
|
|
*/
|
|
pMat0 = pMatSrc;
|
|
|
|
acc0 = 0LL;
|
|
|
|
pMat0Vec = pMat0;
|
|
pVec = pSrcVecPtr;
|
|
|
|
blkCnt = numCols >> 4;
|
|
while (blkCnt > 0U)
|
|
{
|
|
vecMatA0 = vld1q(pMat0Vec);
|
|
pMat0Vec += 16;
|
|
vecIn = vld1q(pVec);
|
|
pVec += 16;
|
|
|
|
acc0 = vmladavaq(acc0, vecIn, vecMatA0);
|
|
blkCnt--;
|
|
}
|
|
/*
|
|
* tail
|
|
* (will be merged thru tail predication)
|
|
*/
|
|
blkCnt = numCols & 0xF;
|
|
if (blkCnt > 0U)
|
|
{
|
|
mve_pred16_t p0 = vctp8q(blkCnt);
|
|
|
|
vecMatA0 = vld1q(pMat0Vec);
|
|
vecIn = vldrbq_z_s8(pVec, p0);
|
|
acc0 = vmladavaq(acc0, vecIn, vecMatA0);
|
|
}
|
|
*px++ = __SSAT(acc0 >> 7, 8);
|
|
}
|
|
}
|
|
|
|
#else
|
|
void arm_mat_vec_mult_q7(const arm_matrix_instance_q7 *pSrcMat, const q7_t *pVec, q7_t *pDst)
|
|
{
|
|
uint32_t numRows = pSrcMat->numRows;
|
|
uint32_t numCols = pSrcMat->numCols;
|
|
const q7_t *pSrcA = pSrcMat->pData;
|
|
const q7_t *pInA1; /* input data matrix pointer of Q7 type */
|
|
const q7_t *pInA2; /* input data matrix pointer of Q7 type */
|
|
const q7_t *pInA3; /* input data matrix pointer of Q7 type */
|
|
const q7_t *pInA4; /* input data matrix pointer of Q7 type */
|
|
const q7_t *pInVec; /* input data vector pointer of Q7 type */
|
|
q7_t *px; /* output data pointer */
|
|
uint32_t i, row, colCnt; /* loop counters */
|
|
|
|
q31_t matData, matData2, vecData, vecData2;
|
|
|
|
|
|
/* Process 4 rows at a time */
|
|
row = numRows >> 2;
|
|
i = 0u;
|
|
px = pDst;
|
|
|
|
|
|
|
|
/* The following loop performs the dot-product of each row in pSrcA with the vector */
|
|
while (row > 0) {
|
|
/* Initialize accumulators */
|
|
q31_t sum1 = 0;
|
|
q31_t sum2 = 0;
|
|
q31_t sum3 = 0;
|
|
q31_t sum4 = 0;
|
|
|
|
/* For every row wise process, the pInVec pointer is set
|
|
** to the starting address of the vector */
|
|
pInVec = pVec;
|
|
|
|
/* Loop unrolling: process 4 columns per iteration */
|
|
colCnt = numCols >> 2;
|
|
|
|
/* Initialize row pointers so we can track 4 rows at once */
|
|
pInA1 = pSrcA + i;
|
|
pInA2 = pInA1 + numCols;
|
|
pInA3 = pInA2 + numCols;
|
|
pInA4 = pInA3 + numCols;
|
|
|
|
|
|
// Inner loop: matrix-vector multiplication
|
|
|
|
while (colCnt > 0u) {
|
|
// Read 4 values from vector
|
|
vecData = read_q7x4_ia (&pInVec);
|
|
vecData2 = __SXTB16(__ROR(vecData, 8));
|
|
vecData = __SXTB16(vecData);
|
|
// Read 16 values from the matrix - 4 values from each of 4 rows, and do multiply accumulate
|
|
matData = read_q7x4_ia (&pInA1);
|
|
matData2 = __SXTB16(__ROR(matData, 8));
|
|
matData = __SXTB16(matData);
|
|
sum1 = __SMLAD(matData, vecData, sum1);
|
|
sum1 = __SMLAD(matData2, vecData2, sum1);
|
|
matData = read_q7x4_ia (&pInA2);
|
|
matData2 = __SXTB16(__ROR(matData, 8));
|
|
matData = __SXTB16(matData);
|
|
sum2 = __SMLAD(matData, vecData, sum2);
|
|
sum2 = __SMLAD(matData2, vecData2, sum2);
|
|
matData = read_q7x4_ia (&pInA3);
|
|
matData2 = __SXTB16(__ROR(matData, 8));
|
|
matData = __SXTB16(matData);
|
|
sum3 = __SMLAD(matData, vecData, sum3);
|
|
sum3 = __SMLAD(matData2, vecData2, sum3);
|
|
matData = read_q7x4_ia (&pInA4);
|
|
matData2 = __SXTB16(__ROR(matData, 8));
|
|
matData = __SXTB16(matData);
|
|
sum4 = __SMLAD(matData, vecData, sum4);
|
|
sum4 = __SMLAD(matData2, vecData2, sum4);
|
|
|
|
// Decrement the loop counter
|
|
colCnt--;
|
|
}
|
|
|
|
/* process any remaining columns */
|
|
|
|
colCnt = numCols & 3u;
|
|
|
|
while (colCnt > 0) {
|
|
vecData = *pInVec++;
|
|
sum1 += *pInA1++ * vecData;
|
|
sum2 += *pInA2++ * vecData;
|
|
sum3 += *pInA3++ * vecData;
|
|
sum4 += *pInA4++ * vecData;
|
|
colCnt--;
|
|
}
|
|
|
|
/* Saturate and store the result in the destination buffer */
|
|
*px++ = (q7_t)(__SSAT((sum1 >> 7), 8));
|
|
*px++ = (q7_t)(__SSAT((sum2 >> 7), 8));
|
|
*px++ = (q7_t)(__SSAT((sum3 >> 7), 8));
|
|
*px++ = (q7_t)(__SSAT((sum4 >> 7), 8));
|
|
|
|
i = i + numCols * 4;
|
|
|
|
/* Decrement the row loop counter */
|
|
row--;
|
|
}
|
|
|
|
/* process any remaining rows */
|
|
row = numRows & 3u;
|
|
while (row > 0) {
|
|
|
|
q31_t sum = 0;
|
|
pInVec = pVec;
|
|
pInA1 = pSrcA + i;
|
|
|
|
// loop unrolling - process 4 elements at a time
|
|
colCnt = numCols >> 2;
|
|
|
|
while (colCnt > 0) {
|
|
vecData = read_q7x4_ia (&pInVec);
|
|
vecData2 = __SXTB16(__ROR(vecData, 8));
|
|
vecData = __SXTB16(vecData);
|
|
matData = read_q7x4_ia (&pInA1);
|
|
matData2 = __SXTB16(__ROR(matData, 8));
|
|
matData = __SXTB16(matData);
|
|
sum = __SMLAD(matData, vecData, sum);
|
|
sum = __SMLAD(matData2, vecData2, sum);
|
|
colCnt--;
|
|
}
|
|
|
|
// process remainder of row
|
|
colCnt = numCols & 3u;
|
|
while (colCnt > 0) {
|
|
sum += *pInA1++ * *pInVec++;
|
|
colCnt--;
|
|
}
|
|
*px++ = (q7_t)(__SSAT((sum >> 7), 8));
|
|
i = i + numCols;
|
|
row--;
|
|
}
|
|
}
|
|
#endif /* defined(ARM_MATH_MVEI) */
|
|
|
|
/**
|
|
* @} end of MatrixMult group
|
|
*/
|