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+/* ----------------------------------------------------------------------
+ * Project: CMSIS DSP Library
+ * Title: arm_mat_mult_fast_q31.c
+ * Description: Q31 matrix multiplication (fast variant)
+ *
+ * $Date: 18. March 2019
+ * $Revision: V1.6.0
+ *
+ * Target Processor: Cortex-M cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the License); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an AS IS BASIS, WITHOUT
+ * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "arm_math.h"
+
+/**
+ @ingroup groupMatrix
+ */
+
+/**
+ @addtogroup MatrixMult
+ @{
+ */
+
+/**
+ @brief Q31 matrix multiplication (fast variant).
+ @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 execution status
+ - \ref ARM_MATH_SUCCESS : Operation successful
+ - \ref ARM_MATH_SIZE_MISMATCH : Matrix size check failed
+
+ @par Scaling and Overflow Behavior
+ The difference between the function \ref arm_mat_mult_q31() and this fast variant is that
+ the fast variant use a 32-bit rather than a 64-bit accumulator.
+ The result of each 1.31 x 1.31 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 1.31 result.
+ @par
+ The fast version has the same overflow behavior as the standard version but provides
+ less precision since it discards the low 32 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.
+ @remark
+ Refer to \ref arm_mat_mult_q31() for a slower implementation of this function
+ which uses 64-bit accumulation to provide higher precision.
+ */
+
+arm_status arm_mat_mult_fast_q31(
+ const arm_matrix_instance_q31 * pSrcA,
+ const arm_matrix_instance_q31 * pSrcB,
+ arm_matrix_instance_q31 * pDst)
+{
+ q31_t *pInA = pSrcA->pData; /* Input data matrix pointer A */
+ q31_t *pInB = pSrcB->pData; /* Input data matrix pointer B */
+ q31_t *pInA2;
+ q31_t *px; /* Temporary output data matrix pointer */
+ q31_t *px2;
+ q31_t sum1, sum2, sum3, sum4; /* Accumulator */
+ q31_t inA1, inA2, inB1, inB2;
+ 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 */
+ uint32_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 */
+
+ {
+ px = pDst->pData;
+
+ row = row >> 1U;
+ px2 = px + numColsB;
+
+ /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */
+ /* row loop */
+ while (row > 0U)
+ {
+ /* For every row wise process, column loop counter is to be initiated */
+ col = numColsB;
+
+ /* For every row wise process, pIn2 pointer is set to starting address of pSrcB data */
+ pInB = pSrcB->pData;
+
+ j = 0U;
+
+ col = col >> 1U;
+
+ /* column loop */
+ while (col > 0U)
+ {
+ /* Set the variable sum, that acts as accumulator, to zero */
+ sum1 = 0;
+ sum2 = 0;
+ sum3 = 0;
+ sum4 = 0;
+
+ /* Initiate data pointers */
+ pInA = pSrcA->pData + i;
+ pInB = pSrcB->pData + j;
+ pInA2 = pInA + numColsA;
+
+ 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) */
+
+ inA1 = *pInA++;
+ inB1 = pInB[0];
+ inA2 = *pInA2++;
+ inB2 = pInB[1];
+ pInB += numColsB;
+
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(inA1, inB1, sum1);
+ sum2 = __SMMLA(inA1, inB2, sum2);
+ sum3 = __SMMLA(inA2, inB1, sum3);
+ sum4 = __SMMLA(inA2, inB2, sum4);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) inA1 * inB1)) >> 32);
+ sum2 = (q31_t) ((((q63_t) sum2 << 32) + ((q63_t) inA1 * inB2)) >> 32);
+ sum3 = (q31_t) ((((q63_t) sum3 << 32) + ((q63_t) inA2 * inB1)) >> 32);
+ sum4 = (q31_t) ((((q63_t) sum4 << 32) + ((q63_t) inA2 * inB2)) >> 32);
+#endif
+
+ /* Decrement loop counter */
+ colCnt--;
+ }
+
+ /* Convert the result from 2.30 to 1.31 format and store in destination buffer */
+ *px++ = sum1 << 1;
+ *px++ = sum2 << 1;
+ *px2++ = sum3 << 1;
+ *px2++ = sum4 << 1;
+
+ j += 2;
+
+ /* Decrement column loop counter */
+ col--;
+ }
+
+ i = i + (numColsA << 1U);
+ px = px2 + (numColsB & 1U);
+ px2 = px + numColsB;
+
+ /* Decrement row loop counter */
+ row--;
+ }
+
+ /* Compute any remaining odd row/column below */
+
+ /* Compute remaining output column */
+ if (numColsB & 1U) {
+
+ /* Avoid redundant computation of last element */
+ row = numRowsA & (~1U);
+
+ /* Point to remaining unfilled column in output matrix */
+ px = pDst->pData + numColsB-1;
+ pInA = pSrcA->pData;
+
+ /* row loop */
+ while (row > 0)
+ {
+
+ /* point to last column in matrix B */
+ pInB = pSrcB->pData + numColsB-1;
+
+ /* Set variable sum1, that acts as accumulator, to zero */
+ sum1 = 0;
+
+#if defined (ARM_MATH_LOOPUNROLL)
+
+ /* Loop unrolling: Compute 4 columns at a time. */
+ colCnt = numColsA >> 2U;
+
+ /* matrix multiplication */
+ while (colCnt > 0U)
+ {
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(*pInA++, *pInB, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) *pInA++ * *pInB)) >> 32);
+#endif
+ pInB += numColsB;
+
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(*pInA++, *pInB, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) *pInA++ * *pInB)) >> 32);
+#endif
+ pInB += numColsB;
+
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(*pInA++, *pInB, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) *pInA++ * *pInB)) >> 32);
+#endif
+ pInB += numColsB;
+
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(*pInA++, *pInB, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) *pInA++ * *pInB)) >> 32);
+#endif
+ pInB += numColsB;
+
+ /* Decrement loop counter */
+ colCnt--;
+ }
+
+ /* Loop unrolling: Compute remaining column */
+ colCnt = numColsA % 4U;
+
+#else
+
+ /* Initialize colCnt with number of columns */
+ colCnt = numColsA;
+
+#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
+
+ while (colCnt > 0U) {
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(*pInA++, *pInB, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) *pInA++ * *pInB)) >> 32);
+#endif
+ pInB += numColsB;
+
+ colCnt--;
+ }
+
+ /* Convert the result from 2.30 to 1.31 format and store in destination buffer */
+ *px = sum1 << 1;
+ px += numColsB;
+
+ /* Decrement row loop counter */
+ row--;
+ }
+ }
+
+ /* Compute remaining output row */
+ if (numRowsA & 1U) {
+
+ /* point to last row in output matrix */
+ px = pDst->pData + (numColsB) * (numRowsA-1);
+
+ col = numColsB;
+ i = 0U;
+
+ /* col loop */
+ while (col > 0)
+ {
+
+ /* point to last row in matrix A */
+ pInA = pSrcA->pData + (numRowsA-1) * numColsA;
+ pInB = pSrcB->pData + i;
+
+ /* Set variable sum1, that acts as accumulator, to zero */
+ sum1 = 0;
+
+#if defined (ARM_MATH_LOOPUNROLL)
+
+ /* Loop unrolling: Compute 4 columns at a time. */
+ colCnt = numColsA >> 2U;
+
+ /* matrix multiplication */
+ while (colCnt > 0U)
+ {
+ inA1 = *pInA++;
+ inA2 = *pInA++;
+ inB1 = *pInB;
+ pInB += numColsB;
+ inB2 = *pInB;
+ pInB += numColsB;
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(inA1, inB1, sum1);
+ sum1 = __SMMLA(inA2, inB2, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) inA1 * inB1)) >> 32);
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) inA2 * inB2)) >> 32);
+#endif
+
+ inA1 = *pInA++;
+ inA2 = *pInA++;
+ inB1 = *pInB;
+ pInB += numColsB;
+ inB2 = *pInB;
+ pInB += numColsB;
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(inA1, inB1, sum1);
+ sum1 = __SMMLA(inA2, inB2, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) inA1 * inB1)) >> 32);
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) inA2 * inB2)) >> 32);
+#endif
+
+ /* Decrement loop counter */
+ colCnt--;
+ }
+
+ /* Loop unrolling: Compute remaining column */
+ colCnt = numColsA % 4U;
+
+#else
+
+ /* Initialize colCnt with number of columns */
+ colCnt = numColsA;
+
+#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
+
+ while (colCnt > 0U) {
+#if defined (ARM_MATH_DSP)
+ sum1 = __SMMLA(*pInA++, *pInB, sum1);
+#else
+ sum1 = (q31_t) ((((q63_t) sum1 << 32) + ((q63_t) *pInA++ * *pInB)) >> 32);
+#endif
+ pInB += numColsB;
+
+ colCnt--;
+ }
+
+ /* Saturate and store the result in the destination buffer */
+ *px++ = sum1 << 1;
+ i++;
+
+ /* Decrement col loop counter */
+ col--;
+ }
+ }
+
+ /* Set status as ARM_MATH_SUCCESS */
+ status = ARM_MATH_SUCCESS;
+ }
+
+ /* Return to application */
+ return (status);
+}
+
+/**
+ @} end of MatrixMult group
+ */