Diff: cmsis_dsp/MatrixFunctions/arm_mat_mult_f32.c

Revision:

5:a912b042151f

Parent:

4:9cee975aadce

--- a/cmsis_dsp/MatrixFunctions/arm_mat_mult_f32.c	Mon Jun 23 09:30:09 2014 +0100
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,286 +0,0 @@
-/* ----------------------------------------------------------------------    
-* Copyright (C) 2010-2013 ARM Limited. All rights reserved.    
-*    
-* $Date:        17. January 2013 
-* $Revision: 	V1.4.1
-*    
-* Project: 	    CMSIS DSP Library    
-* Title:	    arm_mat_mult_f32.c    
-*    
-* Description:  Floating-point matrix multiplication.    
-*    
-* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
-*  
-* Redistribution and use in source and binary forms, with or without 
-* modification, are permitted provided that the following conditions
-* are met:
-*   - Redistributions of source code must retain the above copyright
-*     notice, this list of conditions and the following disclaimer.
-*   - Redistributions in binary form must reproduce the above copyright
-*     notice, this list of conditions and the following disclaimer in
-*     the documentation and/or other materials provided with the 
-*     distribution.
-*   - Neither the name of ARM LIMITED nor the names of its contributors
-*     may be used to endorse or promote products derived from this
-*     software without specific prior written permission.
-*
-* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE 
-* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-* POSSIBILITY OF SUCH DAMAGE.  
-* -------------------------------------------------------------------- */
-
-#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_FAMILY
-
-  /* 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_FAMILY */
-
-      /* 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    
- */