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Diffstat (limited to 'apps/mathlib/CMSIS/DSP_Lib/Source/MatrixFunctions/arm_mat_mult_fast_q15.c')
-rw-r--r-- | apps/mathlib/CMSIS/DSP_Lib/Source/MatrixFunctions/arm_mat_mult_fast_q15.c | 361 |
1 files changed, 361 insertions, 0 deletions
diff --git a/apps/mathlib/CMSIS/DSP_Lib/Source/MatrixFunctions/arm_mat_mult_fast_q15.c b/apps/mathlib/CMSIS/DSP_Lib/Source/MatrixFunctions/arm_mat_mult_fast_q15.c new file mode 100644 index 000000000..a88e3cdd1 --- /dev/null +++ b/apps/mathlib/CMSIS/DSP_Lib/Source/MatrixFunctions/arm_mat_mult_fast_q15.c @@ -0,0 +1,361 @@ +/* ----------------------------------------------------------------------
+* 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
+ */
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