| /* ---------------------------------------------------------------------- |
| * Copyright (C) 2010 ARM Limited. All rights reserved. |
| * |
| * $Date: 15. July 2011 |
| * $Revision: V1.0.10 |
| * |
| * Project: CMSIS DSP Library |
| * Title: arm_mat_mult_q15.c |
| * |
| * Description: Q15 matrix multiplication. |
| * |
| * Target Processor: Cortex-M4/Cortex-M3/Cortex-M0 |
| * |
| * 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 |
| */ |
| |
| /** |
| * @addtogroup MatrixMult |
| * @{ |
| */ |
| |
| |
| /** |
| * @brief Q15 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 |
| * @param[in] *pState points to the array for storing intermediate results |
| * @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 function is implemented using a 64-bit internal accumulator. The inputs to the |
| * multiplications are in 1.15 format and multiplications yield a 2.30 result. |
| * The 2.30 intermediate |
| * results are accumulated in a 64-bit accumulator in 34.30 format. This approach |
| * provides 33 guard bits and there is no risk of overflow. The 34.30 result is then |
| * truncated to 34.15 format by discarding the low 15 bits and then saturated to |
| * 1.15 format. |
| * |
| * \par |
| * 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. |
| * |
| */ |
| |
| arm_status arm_mat_mult_q15( |
| const arm_matrix_instance_q15 * pSrcA, |
| const arm_matrix_instance_q15 * pSrcB, |
| arm_matrix_instance_q15 * pDst, |
| q15_t * pState) |
| { |
| q63_t sum; /* accumulator */ |
| |
| #ifndef ARM_MATH_CM0 |
| |
| /* Run the below code for Cortex-M4 and Cortex-M3 */ |
| |
| q31_t in; /* Temporary variable to hold the input value */ |
| q15_t *pSrcBT = pState; /* input data matrix pointer for transpose */ |
| q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ |
| q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ |
| q15_t *px; /* Temporary output data matrix pointer */ |
| 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 numRowsB = pSrcB->numRows; /* number of rows of input matrix A */ |
| uint16_t col, i = 0u, row = numRowsB, 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 */ |
| |
| { |
| /* Matrix transpose */ |
| do |
| { |
| /* Apply loop unrolling and exchange the columns with row elements */ |
| col = numColsB >> 2; |
| |
| /* The pointer px is set to starting address of the column being processed */ |
| px = pSrcBT + i; |
| |
| /* First part of the processing with loop unrolling. Compute 4 outputs at a time. |
| ** a second loop below computes the remaining 1 to 3 samples. */ |
| while(col > 0u) |
| { |
| /* Read two elements from the row */ |
| in = *__SIMD32(pInB)++; |
| |
| /* Unpack and store one element in the destination */ |
| #ifndef ARM_MATH_BIG_ENDIAN |
| |
| *px = (q15_t) in; |
| |
| #else |
| |
| *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); |
| |
| #endif /* #ifndef ARM_MATH_BIG_ENDIAN */ |
| |
| /* Update the pointer px to point to the next row of the transposed matrix */ |
| px += numRowsB; |
| |
| /* Unpack and store the second element in the destination */ |
| #ifndef ARM_MATH_BIG_ENDIAN |
| |
| *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); |
| |
| #else |
| |
| *px = (q15_t) in; |
| |
| #endif /* #ifndef ARM_MATH_BIG_ENDIAN */ |
| |
| |
| /* Update the pointer px to point to the next row of the transposed matrix */ |
| px += numRowsB; |
| |
| /* Read two elements from the row */ |
| in = *__SIMD32(pInB)++; |
| |
| /* Unpack and store one element in the destination */ |
| #ifndef ARM_MATH_BIG_ENDIAN |
| |
| *px = (q15_t) in; |
| |
| #else |
| |
| *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); |
| |
| #endif /* #ifndef ARM_MATH_BIG_ENDIAN */ |
| |
| /* Update the pointer px to point to the next row of the transposed matrix */ |
| px += numRowsB; |
| |
| /* Unpack and store the second element in the destination */ |
| |
| #ifndef ARM_MATH_BIG_ENDIAN |
| |
| *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); |
| |
| #else |
| |
| *px = (q15_t) in; |
| |
| #endif /* #ifndef ARM_MATH_BIG_ENDIAN */ |
| |
| /* Update the pointer px to point to the next row of the transposed matrix */ |
| px += numRowsB; |
| |
| /* Decrement the column loop counter */ |
| col--; |
| } |
| |
| /* If the columns of pSrcB is not a multiple of 4, compute any remaining output samples here. |
| ** No loop unrolling is used. */ |
| col = numColsB % 0x4u; |
| |
| while(col > 0u) |
| { |
| /* Read and store the input element in the destination */ |
| *px = *pInB++; |
| |
| /* Update the pointer px to point to the next row of the transposed matrix */ |
| px += numRowsB; |
| |
| /* Decrement the column loop counter */ |
| col--; |
| } |
| |
| i++; |
| |
| /* Decrement the row loop counter */ |
| row--; |
| |
| } while(row > 0u); |
| |
| /* Reset the variables for the usage in the following multiplication process */ |
| row = numRowsA; |
| i = 0u; |
| px = pDst->pData; |
| |
| /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ |
| /* row loop */ |
| do |
| { |
| /* 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 transposed pSrcB data */ |
| pInB = pSrcBT; |
| |
| /* column loop */ |
| do |
| { |
| /* Set the variable sum, that acts as accumulator, to zero */ |
| sum = 0; |
| |
| /* Apply loop unrolling and compute 2 MACs simultaneously. */ |
| colCnt = numColsA >> 1; |
| |
| /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ |
| pInA = pSrcA->pData + i; |
| |
| /* 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) */ |
| sum = __SMLALD(*__SIMD32(pInA)++, *__SIMD32(pInB)++, sum); |
| |
| /* Decrement the loop counter */ |
| colCnt--; |
| } |
| |
| /* process odd column samples */ |
| if((numColsA & 0x1u) > 0u) |
| { |
| /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ |
| sum += ((q31_t) * pInA * (*pInB++)); |
| } |
| |
| /* Saturate and store the result in the destination buffer */ |
| *px = (q15_t) (__SSAT((sum >> 15), 16)); |
| px++; |
| |
| /* Decrement the column loop counter */ |
| col--; |
| |
| } while(col > 0u); |
| |
| i = i + numColsA; |
| |
| /* Decrement the row loop counter */ |
| row--; |
| |
| } while(row > 0u); |
| |
| #else |
| |
| /* Run the below code for Cortex-M0 */ |
| |
| q15_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ |
| q15_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ |
| q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ |
| q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ |
| q15_t *pOut = pDst->pData; /* output data matrix pointer */ |
| q15_t *px; /* Temporary output data matrix pointer */ |
| 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 numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ |
| 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 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; |
| |
| /* 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 pSrcA */ |
| pIn1 = pInA; |
| |
| /* Matrix A columns number of MAC operations are to be performed */ |
| colCnt = numColsA; |
| |
| /* 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 */ |
| sum += (q31_t) * pIn1++ * *pIn2; |
| pIn2 += numColsB; |
| |
| /* Decrement the loop counter */ |
| colCnt--; |
| } |
| |
| /* Convert the result from 34.30 to 1.15 format and store the saturated value in destination buffer */ |
| /* Saturate and store the result in the destination buffer */ |
| *px++ = (q15_t) __SSAT((sum >> 15), 16); |
| |
| /* 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); |
| |
| /* Update the pointer pSrcA 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); |
| |
| #endif /* #ifndef ARM_MATH_CM0 */ |
| |
| /* set status as ARM_MATH_SUCCESS */ |
| status = ARM_MATH_SUCCESS; |
| } |
| |
| /* Return to application */ |
| return (status); |
| } |
| |
| /** |
| * @} end of MatrixMult group |
| */ |
