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-/* ----------------------------------------------------------------------
-* Copyright (C) 2010 ARM Limited. All rights reserved.
-*
-* $Date: 15. February 2012
-* $Revision: V1.1.0
-*
-* Project: CMSIS DSP Library
-* Title: arm_mat_mult_fast_q31.c
-*
-* Description: Q31 matrix multiplication (fast variant).
-*
-* Target Processor: Cortex-M4/Cortex-M3
-*
-* Version 1.1.0 2012/02/15
-* Updated with more optimizations, bug fixes and minor API changes.
-*
-* Version 1.0.10 2011/7/15
-* Big Endian support added and Merged M0 and M3/M4 Source code.
-*
-* Version 1.0.3 2010/11/29
-* Re-organized the CMSIS folders and updated documentation.
-*
-* Version 1.0.2 2010/11/11
-* Documentation updated.
-*
-* Version 1.0.1 2010/10/05
-* Production release and review comments incorporated.
-*
-* Version 1.0.0 2010/09/20
-* Production release and review comments incorporated.
-* -------------------------------------------------------------------- */
-
-#include "arm_math.h"
-
-/**
- * @ingroup groupMatrix
- */
-
-/**
- * @addtogroup MatrixMult
- * @{
- */
-
-/**
- * @brief Q31 matrix multiplication (fast variant) for Cortex-M3 and Cortex-M4
- * @param[in] *pSrcA points to the first input matrix structure
- * @param[in] *pSrcB points to the second input matrix structure
- * @param[out] *pDst points to output matrix structure
- * @return The function returns either
- * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.
- *
- * @details
- * <b>Scaling and Overflow Behavior:</b>
- *
- * \par
- * The difference between the function arm_mat_mult_q31() and this fast variant is that
- * the fast variant use a 32-bit rather than a 64-bit accumulator.
- * The result of each 1.31 x 1.31 multiplication is truncated to
- * 2.30 format. These intermediate results are accumulated in a 32-bit register in 2.30
- * format. Finally, the accumulator is saturated and converted to a 1.31 result.
- *
- * \par
- * The fast version has the same overflow behavior as the standard version but provides
- * less precision since it discards the low 32 bits of each multiplication result.
- * In order to avoid overflows completely the input signals must be scaled down.
- * Scale down one of the input matrices by log2(numColsA) bits to
- * avoid overflows, as a total of numColsA additions are computed internally for each
- * output element.
- *
- * \par
- * See <code>arm_mat_mult_q31()</code> for a slower implementation of this function
- * which uses 64-bit accumulation to provide higher precision.
- */
-
-arm_status arm_mat_mult_fast_q31(
- const arm_matrix_instance_q31 * pSrcA,
- const arm_matrix_instance_q31 * pSrcB,
- arm_matrix_instance_q31 * pDst)
-{
- q31_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */
- q31_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */
- q31_t *pInA = pSrcA->pData; /* input data matrix pointer A */
-// q31_t *pSrcB = pSrcB->pData; /* input data matrix pointer B */
- q31_t *pOut = pDst->pData; /* output data matrix pointer */
- q31_t *px; /* Temporary output data matrix pointer */
- q31_t sum; /* Accumulator */
- uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */
- uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */
- uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */
- uint16_t col, i = 0u, j, row = numRowsA, colCnt; /* loop counters */
- arm_status status; /* status of matrix multiplication */
- q31_t inA1, inA2, inA3, inA4, inB1, inB2, inB3, inB4;
-
-#ifdef ARM_MATH_MATRIX_CHECK
-
-
- /* Check for matrix mismatch condition */
- if((pSrcA->numCols != pSrcB->numRows) ||
- (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols))
- {
- /* Set status as ARM_MATH_SIZE_MISMATCH */
- status = ARM_MATH_SIZE_MISMATCH;
- }
- else
-#endif /* #ifdef ARM_MATH_MATRIX_CHECK */
-
- {
- /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */
- /* row loop */
- do
- {
- /* Output pointer is set to starting address of the row being processed */
- px = pOut + i;
-
- /* For every row wise process, the column loop counter is to be initiated */
- col = numColsB;
-
- /* For every row wise process, the pIn2 pointer is set
- ** to the starting address of the pSrcB data */
- pIn2 = pSrcB->pData;
-
- j = 0u;
-
- /* column loop */
- do
- {
- /* Set the variable sum, that acts as accumulator, to zero */
- sum = 0;
-
- /* Initiate the pointer pIn1 to point to the starting address of pInA */
- pIn1 = pInA;
-
- /* Apply loop unrolling and compute 4 MACs simultaneously. */
- colCnt = numColsA >> 2;
-
-
- /* matrix multiplication */
- while(colCnt > 0u)
- {
- /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */
- /* Perform the multiply-accumulates */
- inB1 = *pIn2;
- pIn2 += numColsB;
-
- inA1 = pIn1[0];
- inA2 = pIn1[1];
-
- inB2 = *pIn2;
- pIn2 += numColsB;
-
- inB3 = *pIn2;
- pIn2 += numColsB;
-
- sum = (q31_t) ((((q63_t) sum << 32) + ((q63_t) inA1 * inB1)) >> 32);
- sum = (q31_t) ((((q63_t) sum << 32) + ((q63_t) inA2 * inB2)) >> 32);
-
- inA3 = pIn1[2];
- inA4 = pIn1[3];
-
- inB4 = *pIn2;
- pIn2 += numColsB;
-
- sum = (q31_t) ((((q63_t) sum << 32) + ((q63_t) inA3 * inB3)) >> 32);
- sum = (q31_t) ((((q63_t) sum << 32) + ((q63_t) inA4 * inB4)) >> 32);
-
- pIn1 += 4u;
-
- /* Decrement the loop counter */
- colCnt--;
- }
-
- /* If the columns of pSrcA is not a multiple of 4, compute any remaining output samples here.
- ** No loop unrolling is used. */
- colCnt = numColsA % 0x4u;
-
- while(colCnt > 0u)
- {
- /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */
- /* Perform the multiply-accumulates */
- sum = (q31_t) ((((q63_t) sum << 32) +
- ((q63_t) * pIn1++ * (*pIn2))) >> 32);
- pIn2 += numColsB;
-
- /* Decrement the loop counter */
- colCnt--;
- }
-
- /* Convert the result from 2.30 to 1.31 format and store in destination buffer */
- *px++ = sum << 1;
-
- /* Update the pointer pIn2 to point to the starting address of the next column */
- j++;
- pIn2 = pSrcB->pData + j;
-
- /* Decrement the column loop counter */
- col--;
-
- } while(col > 0u);
-
- /* Update the pointer pInA to point to the starting address of the next row */
- i = i + numColsB;
- pInA = pInA + numColsA;
-
- /* Decrement the row loop counter */
- row--;
-
- } while(row > 0u);
-
- /* set status as ARM_MATH_SUCCESS */
- status = ARM_MATH_SUCCESS;
- }
- /* Return to application */
- return (status);
-}
-
-/**
- * @} end of MatrixMult group
- */