| /* ---------------------------------------------------------------------- |
| * Project: CMSIS DSP Library |
| * Title: arm_mat_cmplx_mult_f32.c |
| * Description: Floating-point matrix multiplication |
| * |
| * $Date: 27. January 2017 |
| * $Revision: V.1.5.1 |
| * |
| * Target Processor: Cortex-M cores |
| * -------------------------------------------------------------------- */ |
| /* |
| * Copyright (C) 2010-2017 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 |
| */ |
| |
| /** |
| * @defgroup CmplxMatrixMult Complex Matrix Multiplication |
| * |
| * Complex 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 CmplxMatrixMult |
| * @{ |
| */ |
| |
| /** |
| * @brief Floating-point Complex matrix multiplication. |
| * @param[in] *pSrcA points to the first input complex matrix structure |
| * @param[in] *pSrcB points to the second input complex matrix structure |
| * @param[out] *pDst points to output complex 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_cmplx_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 */ |
| 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 */ |
| float32_t sumReal1, sumImag1; /* accumulator */ |
| float32_t a0, b0, c0, d0; |
| float32_t a1, b1, c1, d1; |
| float32_t sumReal2, sumImag2; /* accumulator */ |
| |
| |
| /* Run the below code for Cortex-M4 and Cortex-M3 */ |
| |
| 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 + 2 * 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 */ |
| sumReal1 = 0.0f; |
| sumImag1 = 0.0f; |
| |
| sumReal2 = 0.0f; |
| sumImag2 = 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 >> 2; |
| |
| /* matrix multiplication */ |
| while (colCnt > 0U) |
| { |
| |
| /* Reading real part of complex matrix A */ |
| a0 = *pIn1; |
| |
| /* Reading real part of complex matrix B */ |
| c0 = *pIn2; |
| |
| /* Reading imaginary part of complex matrix A */ |
| b0 = *(pIn1 + 1U); |
| |
| /* Reading imaginary part of complex matrix B */ |
| d0 = *(pIn2 + 1U); |
| |
| sumReal1 += a0 * c0; |
| sumImag1 += b0 * c0; |
| |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| sumReal2 -= b0 * d0; |
| sumImag2 += a0 * d0; |
| |
| /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ |
| |
| a1 = *pIn1; |
| c1 = *pIn2; |
| |
| b1 = *(pIn1 + 1U); |
| d1 = *(pIn2 + 1U); |
| |
| sumReal1 += a1 * c1; |
| sumImag1 += b1 * c1; |
| |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| sumReal2 -= b1 * d1; |
| sumImag2 += a1 * d1; |
| |
| a0 = *pIn1; |
| c0 = *pIn2; |
| |
| b0 = *(pIn1 + 1U); |
| d0 = *(pIn2 + 1U); |
| |
| sumReal1 += a0 * c0; |
| sumImag1 += b0 * c0; |
| |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| sumReal2 -= b0 * d0; |
| sumImag2 += a0 * d0; |
| |
| /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ |
| |
| a1 = *pIn1; |
| c1 = *pIn2; |
| |
| b1 = *(pIn1 + 1U); |
| d1 = *(pIn2 + 1U); |
| |
| sumReal1 += a1 * c1; |
| sumImag1 += b1 * c1; |
| |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| sumReal2 -= b1 * d1; |
| sumImag2 += a1 * d1; |
| |
| /* 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) */ |
| a1 = *pIn1; |
| c1 = *pIn2; |
| |
| b1 = *(pIn1 + 1U); |
| d1 = *(pIn2 + 1U); |
| |
| sumReal1 += a1 * c1; |
| sumImag1 += b1 * c1; |
| |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| sumReal2 -= b1 * d1; |
| sumImag2 += a1 * d1; |
| |
| /* Decrement the loop counter */ |
| colCnt--; |
| } |
| |
| sumReal1 += sumReal2; |
| sumImag1 += sumImag2; |
| |
| /* Store the result in the destination buffer */ |
| *px++ = sumReal1; |
| *px++ = sumImag1; |
| |
| /* Update the pointer pIn2 to point to the starting address of the next column */ |
| j++; |
| pIn2 = pSrcB->pData + 2U * j; |
| |
| /* Decrement the column loop counter */ |
| col--; |
| |
| } while (col > 0U); |
| |
| /* Update the pointer pInA to point to the starting address of the next row */ |
| i = i + numColsB; |
| pInA = pInA + 2 * 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 |
| */ |