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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_f32.c
-*
-* Description: Floating-point matrix multiplication.
-*
-* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
-*
-* 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.
-*
-* Version 0.0.5 2010/04/26
-* incorporated review comments and updated with latest CMSIS layer
-*
-* Version 0.0.3 2010/03/10
-* Initial version
-* -------------------------------------------------------------------- */
-
-#include "arm_math.h"
-
-/**
- * @ingroup groupMatrix
- */
-
-/**
- * @defgroup MatrixMult Matrix Multiplication
- *
- * Multiplies two matrices.
- *
- * \image html MatrixMultiplication.gif "Multiplication of two 3 x 3 matrices"
-
- * Matrix multiplication is only defined if the number of columns of the
- * first matrix equals the number of rows of the second matrix.
- * Multiplying an <code>M x N</code> matrix with an <code>N x P</code> matrix results
- * in an <code>M x P</code> matrix.
- * When matrix size checking is enabled, the functions check: (1) that the inner dimensions of
- * <code>pSrcA</code> and <code>pSrcB</code> are equal; and (2) that the size of the output
- * matrix equals the outer dimensions of <code>pSrcA</code> and <code>pSrcB</code>.
- */
-
-
-/**
- * @addtogroup MatrixMult
- * @{
- */
-
-/**
- * @brief Floating-point matrix multiplication.
- * @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.
- */
-
-arm_status arm_mat_mult_f32(
- const arm_matrix_instance_f32 * pSrcA,
- const arm_matrix_instance_f32 * pSrcB,
- arm_matrix_instance_f32 * pDst)
-{
- float32_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */
- float32_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */
- float32_t *pInA = pSrcA->pData; /* input data matrix pointer A */
- float32_t *pOut = pDst->pData; /* output data matrix pointer */
- float32_t *px; /* Temporary output data matrix pointer */
- float32_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 */
-
-#ifndef ARM_MATH_CM0
-
- /* Run the below code for Cortex-M4 and Cortex-M3 */
-
- float32_t in1, in2, in3, in4;
- uint16_t col, i = 0u, j, row = numRowsA, colCnt; /* loop counters */
- arm_status status; /* status of matrix multiplication */
-
-#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 = 0.0f;
-
- /* Initiate the pointer pIn1 to point to the starting address of the column being processed */
- pIn1 = pInA;
-
- /* Apply loop unrolling and compute 4 MACs simultaneously. */
- colCnt = numColsA >> 2u;
-
- /* 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) */
- in3 = *pIn2;
- pIn2 += numColsB;
- in1 = pIn1[0];
- in2 = pIn1[1];
- sum += in1 * in3;
- in4 = *pIn2;
- pIn2 += numColsB;
- sum += in2 * in4;
-
- in3 = *pIn2;
- pIn2 += numColsB;
- in1 = pIn1[2];
- in2 = pIn1[3];
- sum += in1 * in3;
- in4 = *pIn2;
- pIn2 += numColsB;
- sum += in2 * in4;
- pIn1 += 4u;
-
- /* Decrement the loop count */
- colCnt--;
- }
-
- /* If the columns of pSrcA is not a multiple of 4, compute any remaining MACs 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) */
- sum += *pIn1++ * (*pIn2);
- pIn2 += numColsB;
-
- /* Decrement the loop counter */
- colCnt--;
- }
-
- /* Store the result in the destination buffer */
- *px++ = sum;
-
- /* 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);
-
-#else
-
- /* Run the below code for Cortex-M0 */
-
- float32_t *pInB = pSrcB->pData; /* input data matrix pointer B */
- uint16_t col, i = 0u, row = numRowsA, colCnt; /* loop counters */
- arm_status status; /* status of matrix multiplication */
-
-#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 pInA with each column in pInB */
- /* 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;
-
- /* column loop */
- do
- {
- /* Set the variable sum, that acts as accumulator, to zero */
- sum = 0.0f;
-
- /* Initialize the pointer pIn1 to point to the starting address of the row being processed */
- pIn1 = pInA;
-
- /* Matrix A columns number of MAC operations are to be performed */
- colCnt = numColsA;
-
- while(colCnt > 0u)
- {
- /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */
- sum += *pIn1++ * (*pIn2);
- pIn2 += numColsB;
-
- /* Decrement the loop counter */
- colCnt--;
- }
-
- /* Store the result in the destination buffer */
- *px++ = sum;
-
- /* Decrement the column loop counter */
- col--;
-
- /* Update the pointer pIn2 to point to the starting address of the next column */
- pIn2 = pInB + (numColsB - col);
-
- } while(col > 0u);
-
-#endif /* #ifndef ARM_MATH_CM0 */
-
- /* 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
- */
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