458 lines
14 KiB
C
458 lines
14 KiB
C
/* ----------------------------------------------------------------------
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* Project: CMSIS DSP Library
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* Title: arm_mat_mult_q15.c
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* Description: Q15 matrix multiplication
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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 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 Q15 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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* @param[in] *pState points to the array for storing intermediate results (Unused)
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* @return The function returns either
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* <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.
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*
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* @details
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* <b>Scaling and Overflow Behavior:</b>
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*
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* \par
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* The function is implemented using a 64-bit internal accumulator. The inputs to the
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* multiplications are in 1.15 format and multiplications yield a 2.30 result.
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* The 2.30 intermediate
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* results are accumulated in a 64-bit accumulator in 34.30 format. This approach
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* provides 33 guard bits and there is no risk of overflow. The 34.30 result is then
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* truncated to 34.15 format by discarding the low 15 bits and then saturated to
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* 1.15 format.
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*
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* \par
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* Refer to <code>arm_mat_mult_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4.
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*
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*/
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arm_status arm_mat_mult_q15(
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const arm_matrix_instance_q15 * pSrcA,
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const arm_matrix_instance_q15 * pSrcB,
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arm_matrix_instance_q15 * pDst,
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q15_t * pState)
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{
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q63_t sum; /* accumulator */
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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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q15_t *pSrcBT = pState; /* input data matrix pointer for transpose */
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q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */
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q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */
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q15_t *px; /* Temporary output data matrix pointer */
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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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uint16_t numRowsB = pSrcB->numRows; /* number of rows of input matrix A */
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uint16_t col, i = 0U, row = numRowsB, colCnt; /* loop counters */
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arm_status status; /* status of matrix multiplication */
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#ifndef UNALIGNED_SUPPORT_DISABLE
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q31_t in; /* Temporary variable to hold the input value */
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q31_t pSourceA1, pSourceB1, pSourceA2, pSourceB2;
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#else
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q15_t in; /* Temporary variable to hold the input value */
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q15_t inA1, inB1, inA2, inB2;
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#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
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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) || (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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/* Matrix transpose */
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do
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{
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/* Apply loop unrolling and exchange the columns with row elements */
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col = numColsB >> 2;
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/* The pointer px is set to starting address of the column being processed */
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px = pSrcBT + i;
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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 (col > 0U)
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{
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#ifndef UNALIGNED_SUPPORT_DISABLE
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/* Read two elements from the row */
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in = *__SIMD32(pInB)++;
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/* Unpack and store one element in the destination */
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#ifndef ARM_MATH_BIG_ENDIAN
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*px = (q15_t) in;
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#else
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*px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16);
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#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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/* Unpack and store the second element in the destination */
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#ifndef ARM_MATH_BIG_ENDIAN
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*px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16);
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#else
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*px = (q15_t) in;
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#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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/* Read two elements from the row */
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in = *__SIMD32(pInB)++;
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/* Unpack and store one element in the destination */
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#ifndef ARM_MATH_BIG_ENDIAN
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*px = (q15_t) in;
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#else
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*px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16);
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#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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/* Unpack and store the second element in the destination */
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#ifndef ARM_MATH_BIG_ENDIAN
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*px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16);
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#else
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*px = (q15_t) in;
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#endif /* #ifndef ARM_MATH_BIG_ENDIAN */
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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#else
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/* Read one element from the row */
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in = *pInB++;
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/* Store one element in the destination */
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*px = in;
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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/* Read one element from the row */
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in = *pInB++;
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/* Store one element in the destination */
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*px = in;
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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/* Read one element from the row */
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in = *pInB++;
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/* Store one element in the destination */
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*px = in;
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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/* Read one element from the row */
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in = *pInB++;
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/* Store one element in the destination */
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*px = in;
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
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/* Decrement the column loop counter */
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col--;
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}
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/* If the columns of pSrcB 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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col = numColsB % 0x4U;
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while (col > 0U)
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{
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/* Read and store the input element in the destination */
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*px = *pInB++;
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/* Update the pointer px to point to the next row of the transposed matrix */
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px += numRowsB;
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/* Decrement the column loop counter */
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col--;
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}
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i++;
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/* Decrement the row loop counter */
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row--;
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} while (row > 0U);
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/* Reset the variables for the usage in the following multiplication process */
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row = numRowsA;
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i = 0U;
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px = pDst->pData;
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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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/* For every row wise process, the column loop counter is to be initiated */
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col = numColsB;
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/* For every row wise process, the pIn2 pointer is set
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** to the starting address of the transposed pSrcB data */
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pInB = pSrcBT;
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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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/* Apply loop unrolling and compute 2 MACs simultaneously. */
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colCnt = numColsA >> 2;
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/* Initiate the pointer pIn1 to point to the starting address of the column being processed */
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pInA = pSrcA->pData + i;
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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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#ifndef UNALIGNED_SUPPORT_DISABLE
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/* read real and imag values from pSrcA and pSrcB buffer */
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pSourceA1 = *__SIMD32(pInA)++;
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pSourceB1 = *__SIMD32(pInB)++;
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pSourceA2 = *__SIMD32(pInA)++;
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pSourceB2 = *__SIMD32(pInB)++;
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/* Multiply and Accumlates */
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sum = __SMLALD(pSourceA1, pSourceB1, sum);
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sum = __SMLALD(pSourceA2, pSourceB2, sum);
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#else
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/* read real and imag values from pSrcA and pSrcB buffer */
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inA1 = *pInA++;
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inB1 = *pInB++;
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inA2 = *pInA++;
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/* Multiply and Accumlates */
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sum += inA1 * inB1;
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inB2 = *pInB++;
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inA1 = *pInA++;
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inB1 = *pInB++;
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/* Multiply and Accumlates */
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sum += inA2 * inB2;
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inA2 = *pInA++;
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inB2 = *pInB++;
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/* Multiply and Accumlates */
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sum += inA1 * inB1;
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sum += inA2 * inB2;
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#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
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/* Decrement the loop counter */
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colCnt--;
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}
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/* process remaining column samples */
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colCnt = numColsA & 3U;
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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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sum += *pInA++ * *pInB++;
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/* Decrement the loop counter */
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colCnt--;
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}
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/* Saturate and store the result in the destination buffer */
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*px = (q15_t) (__SSAT((sum >> 15), 16));
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px++;
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/* Decrement the column loop counter */
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col--;
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} while (col > 0U);
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i = i + numColsA;
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/* Decrement the row loop counter */
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row--;
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} while (row > 0U);
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#else
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/* Run the below code for Cortex-M0 */
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q15_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */
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q15_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */
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q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */
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q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */
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q15_t *pOut = pDst->pData; /* output data matrix pointer */
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q15_t *px; /* Temporary output data matrix pointer */
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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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uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */
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uint16_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) || (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 the row being processed */
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px = pOut + i;
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/* For every row wise process, the column loop counter is to be initiated */
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col = numColsB;
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/* For every row wise process, the pIn2 pointer is set
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** to the starting address of the 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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/* Initiate the pointer pIn1 to point to the starting address of pSrcA */
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pIn1 = pInA;
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/* Matrix A columns number of MAC operations are to be performed */
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colCnt = numColsA;
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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 += (q31_t) * pIn1++ * *pIn2;
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pIn2 += numColsB;
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/* Decrement the loop counter */
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colCnt--;
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}
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/* Convert the result from 34.30 to 1.15 format and store the saturated value in destination buffer */
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/* Saturate and store the result in the destination buffer */
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*px++ = (q15_t) __SSAT((sum >> 15), 16);
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/* Decrement the column loop counter */
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col--;
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/* Update the pointer pIn2 to point to the starting address of the next column */
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pIn2 = pInB + (numColsB - col);
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} while (col > 0U);
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/* Update the pointer pSrcA to point to the starting address of the next row */
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i = i + numColsB;
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pInA = pInA + numColsA;
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/* Decrement the row loop counter */
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row--;
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} while (row > 0U);
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#endif /* #if defined (ARM_MATH_DSP) */
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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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