197 lines
6.5 KiB
C
197 lines
6.5 KiB
C
/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_mat_mult_q31.c
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* Description: Q31 matrix multiplication
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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 groupMatrix
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*/
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/**
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@addtogroup MatrixMult
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@{
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*/
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/**
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@brief Q31 matrix multiplication.
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@param[in] pSrcA points to the first input matrix structure
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@param[in] pSrcB points to the second input matrix structure
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@param[out] pDst points to output matrix structure
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@return execution status
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- \ref ARM_MATH_SUCCESS : Operation successful
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- \ref ARM_MATH_SIZE_MISMATCH : Matrix size check failed
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@par Scaling and Overflow Behavior
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The function is implemented using an internal 64-bit accumulator.
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The accumulator has a 2.62 format and maintains full precision of the intermediate
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multiplication results but provides only a single guard bit. There is no saturation
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on intermediate additions. Thus, if the accumulator overflows it wraps around and
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distorts the result. The input signals should be scaled down to avoid intermediate
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overflows. The input is thus scaled down by log2(numColsA) bits
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to avoid overflows, as a total of numColsA additions are performed internally.
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The 2.62 accumulator is right shifted by 31 bits and saturated to 1.31 format to yield the final result.
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@remark
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Refer to \ref arm_mat_mult_fast_q31() for a faster but less precise implementation of this function.
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*/
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arm_status arm_mat_mult_q31(
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const arm_matrix_instance_q31 * pSrcA,
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const arm_matrix_instance_q31 * pSrcB,
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arm_matrix_instance_q31 * pDst)
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{
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q31_t *pIn1 = pSrcA->pData; /* Input data matrix pointer A */
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q31_t *pIn2 = pSrcB->pData; /* Input data matrix pointer B */
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q31_t *pInA = pSrcA->pData; /* Input data matrix pointer A */
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q31_t *pInB = pSrcB->pData; /* Input data matrix pointer B */
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q31_t *pOut = pDst->pData; /* Output data matrix pointer */
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q31_t *px; /* Temporary output data matrix pointer */
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q63_t sum; /* Accumulator */
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uint16_t numRowsA = pSrcA->numRows; /* Number of rows of input matrix A */
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uint16_t numColsB = pSrcB->numCols; /* Number of columns of input matrix B */
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uint16_t numColsA = pSrcA->numCols; /* Number of columns of input matrix A */
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uint32_t col, i = 0U, row = numRowsA, colCnt; /* Loop counters */
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arm_status status; /* Status of matrix multiplication */
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#ifdef ARM_MATH_MATRIX_CHECK
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/* Check for matrix mismatch condition */
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if ((pSrcA->numCols != pSrcB->numRows) ||
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(pSrcA->numRows != pDst->numRows) ||
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(pSrcB->numCols != pDst->numCols) )
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{
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/* Set status as ARM_MATH_SIZE_MISMATCH */
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status = ARM_MATH_SIZE_MISMATCH;
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}
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else
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#endif /* #ifdef ARM_MATH_MATRIX_CHECK */
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{
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/* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */
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/* row loop */
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do
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{
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/* Output pointer is set to starting address of row being processed */
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px = pOut + i;
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/* For every row wise process, column loop counter is to be initiated */
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col = numColsB;
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/* For every row wise process, pIn2 pointer is set to starting address of pSrcB data */
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pIn2 = pSrcB->pData;
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/* column loop */
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do
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{
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/* Set the variable sum, that acts as accumulator, to zero */
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sum = 0;
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/* Initialize pointer pIn1 to point to starting address of column being processed */
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pIn1 = pInA;
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#if defined (ARM_MATH_LOOPUNROLL)
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/* Loop unrolling: Compute 4 MACs at a time. */
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colCnt = numColsA >> 2U;
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/* matrix multiplication */
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while (colCnt > 0U)
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{
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/* c(m,n) = a(1,1) * b(1,1) + a(1,2) * b(2,1) + .... + a(m,p) * b(p,n) */
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/* Perform the multiply-accumulates */
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sum += (q63_t) *pIn1++ * *pIn2;
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pIn2 += numColsB;
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sum += (q63_t) *pIn1++ * *pIn2;
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pIn2 += numColsB;
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sum += (q63_t) *pIn1++ * *pIn2;
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pIn2 += numColsB;
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sum += (q63_t) *pIn1++ * *pIn2;
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pIn2 += numColsB;
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/* Decrement loop counter */
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colCnt--;
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}
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/* Loop unrolling: Compute remaining MACs */
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colCnt = numColsA % 0x4U;
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#else
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/* Initialize cntCnt with number of columns */
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colCnt = numColsA;
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#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
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while (colCnt > 0U)
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{
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/* c(m,n) = a(1,1) * b(1,1) + a(1,2) * b(2,1) + .... + a(m,p) * b(p,n) */
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/* Perform the multiply-accumulates */
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sum += (q63_t) *pIn1++ * *pIn2;
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pIn2 += numColsB;
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/* Decrement loop counter */
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colCnt--;
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}
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/* Convert result from 2.62 to 1.31 format and store in destination buffer */
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*px++ = (q31_t) (sum >> 31);
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/* Decrement column loop counter */
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col--;
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/* Update pointer pIn2 to point to starting address of next column */
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pIn2 = pInB + (numColsB - col);
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} while (col > 0U);
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/* Update pointer pInA to point to starting address of next row */
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i = i + numColsB;
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pInA = pInA + numColsA;
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/* Decrement row loop counter */
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row--;
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} while (row > 0U);
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/* Set status as ARM_MATH_SUCCESS */
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status = ARM_MATH_SUCCESS;
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}
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/* Return to application */
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return (status);
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}
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/**
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@} end of MatrixMult group
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*/
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