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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_q15.c
-*
-* Description: Q15 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 Q15 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
- * @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 difference between the function arm_mat_mult_q15() and this fast variant is that
- * the fast variant use a 32-bit rather than a 64-bit accumulator.
- * The result of each 1.15 x 1.15 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 1.15 result.
- *
- * \par
- * The fast version has the same overflow behavior as the standard version but provides
- * less precision since it discards the low 16 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_q15()</code> for a slower implementation of this function
- * which uses 64-bit accumulation to provide higher precision.
- */
-
-arm_status arm_mat_mult_fast_q15(
- const arm_matrix_instance_q15 * pSrcA,
- const arm_matrix_instance_q15 * pSrcB,
- arm_matrix_instance_q15 * pDst,
- q15_t * pState)
-{
- q31_t sum; /* accumulator */
- 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 */
-
-#ifndef UNALIGNED_SUPPORT_DISABLE
-
- q31_t in; /* Temporary variable to hold the input value */
- q31_t inA1, inA2, inB1, inB2;
-
-#else
-
- q15_t in; /* Temporary variable to hold the input value */
- q15_t inA1, inA2, inB1, inB2;
-
-#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
-
-#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
- {
- /* 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)
- {
-#ifndef UNALIGNED_SUPPORT_DISABLE
- /* 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 */
-
-#else
-
- /* Read one element from the row */
- in = *pInB++;
-
- /* Store one element in the destination */
- *px = in;
-
- /* Update the pointer px to point to the next row of the transposed matrix */
- px += numRowsB;
-
- /* Read one element from the row */
- in = *pInB++;
-
- /* Store one element in the destination */
- *px = in;
-
- /* Update the pointer px to point to the next row of the transposed matrix */
- px += numRowsB;
-
- /* Read one element from the row */
- in = *pInB++;
-
- /* Store one element in the destination */
- *px = in;
-
- /* Update the pointer px to point to the next row of the transposed matrix */
- px += numRowsB;
-
- /* Read one element from the row */
- in = *pInB++;
-
- /* Store one element in the destination */
- *px = in;
-
-#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
-
- /* 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 >> 2;
-
- /* 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) */
-#ifndef UNALIGNED_SUPPORT_DISABLE
-
- inA1 = *__SIMD32(pInA)++;
- inB1 = *__SIMD32(pInB)++;
- inA2 = *__SIMD32(pInA)++;
- inB2 = *__SIMD32(pInB)++;
-
- sum = __SMLAD(inA1, inB1, sum);
- sum = __SMLAD(inA2, inB2, sum);
-
-#else
-
- inA1 = *pInA++;
- inB1 = *pInB++;
- inA2 = *pInA++;
- sum += inA1 * inB1;
- inB2 = *pInB++;
-
- inA1 = *pInA++;
- inB1 = *pInB++;
- sum += inA2 * inB2;
- inA2 = *pInA++;
- inB2 = *pInB++;
-
- sum += inA1 * inB1;
- sum += inA2 * inB2;
-
-#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */
-
- /* Decrement the loop counter */
- colCnt--;
- }
-
- /* process odd column samples */
- 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 += (q31_t) (*pInA++) * (*pInB++);
-
- colCnt--;
- }
-
- /* Saturate and store the result in the destination buffer */
- *px = (q15_t) (sum >> 15);
- px++;
-
- /* Decrement the column loop counter */
- col--;
-
- } while(col > 0u);
-
- i = i + 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
- */