| /* ---------------------------------------------------------------------- |
| * Project: CMSIS DSP Library |
| * Title: arm_mat_cmplx_mult_f32.c |
| * Description: Floating-point matrix multiplication |
| * |
| * $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 |
| */ |
| |
| /** |
| @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. |
| @par |
| When matrix size checking is enabled, the functions check: |
| - that the inner dimensions of <code>pSrcA</code> and <code>pSrcB</code> are equal; |
| - 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 first input complex matrix structure |
| @param[in] pSrcB points to second input complex matrix structure |
| @param[out] pDst points to output complex matrix structure |
| @return execution status |
| - \ref ARM_MATH_SUCCESS : Operation successful |
| - \ref ARM_MATH_SIZE_MISMATCH : Matrix size check failed |
| */ |
| #if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) |
| |
| #include "arm_helium_utils.h" |
| |
| #define MATRIX_DIM2 2 |
| #define MATRIX_DIM3 3 |
| #define MATRIX_DIM4 4 |
| |
| __STATIC_INLINE arm_status arm_mat_cmplx_mult_f32_2x2_mve( |
| const arm_matrix_instance_f32 * pSrcA, |
| const arm_matrix_instance_f32 * pSrcB, |
| arm_matrix_instance_f32 * pDst) |
| { |
| float32_t const *pInB = 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 */ |
| uint32x4_t vecColBOffs0; |
| float32_t *pInA0 = pInA; |
| float32_t *pInA1 = pInA0 + CMPLX_DIM * MATRIX_DIM2; |
| f32x4_t acc0, acc1; |
| f32x4_t vecB, vecA; |
| |
| static const uint32_t offsetB0[4] = { 0, 1, |
| MATRIX_DIM2 * CMPLX_DIM, MATRIX_DIM2 * CMPLX_DIM + 1 |
| }; |
| |
| vecColBOffs0 = vldrwq_u32((uint32_t const *) offsetB0); |
| |
| pInB = (float32_t const *)pSrcB->pData; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM2 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM2 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM2 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM2 + 1] = acc1[1] + acc1[3]; |
| pOut += CMPLX_DIM; |
| |
| /* |
| * move to next B column |
| */ |
| pInB = pInB + CMPLX_DIM; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM2 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM2 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM2 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM2 + 1] = acc1[1] + acc1[3]; |
| /* |
| * Return to application |
| */ |
| return (ARM_MATH_SUCCESS); |
| } |
| |
| |
| __STATIC_INLINE arm_status arm_mat_cmplx_mult_f32_3x3_mve( |
| const arm_matrix_instance_f32 * pSrcA, |
| const arm_matrix_instance_f32 * pSrcB, |
| arm_matrix_instance_f32 * pDst) |
| { |
| float32_t const *pInB = 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 */ |
| uint32x4_t vecColBOffs0, vecColBOffs1; |
| float32_t *pInA0 = pInA; |
| float32_t *pInA1 = pInA0 + CMPLX_DIM * MATRIX_DIM3; |
| float32_t *pInA2 = pInA1 + CMPLX_DIM * MATRIX_DIM3; |
| f32x4_t acc0, acc1, acc2; |
| f32x4_t vecB, vecA; |
| /* enable predication to disable upper half complex vector element */ |
| mve_pred16_t p0 = vctp32q(CMPLX_DIM); |
| |
| static const uint32_t offsetB0[4] = { 0, 1, |
| MATRIX_DIM3 * CMPLX_DIM, MATRIX_DIM3 * CMPLX_DIM + 1 |
| }; |
| static const uint32_t offsetB1[4] = { 2 * MATRIX_DIM3 * CMPLX_DIM, 2 * MATRIX_DIM3 * CMPLX_DIM + 1, |
| INACTIVELANE, INACTIVELANE |
| }; |
| |
| vecColBOffs0 = vldrwq_u32((uint32_t const *) offsetB0); |
| vecColBOffs1 = vldrwq_u32((uint32_t const *) offsetB1); |
| |
| pInB = (float32_t const *)pSrcB->pData; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA2); |
| acc2 = vcmulq(vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| |
| vecB = vldrwq_gather_shifted_offset_z(pInB, vecColBOffs1, p0); |
| |
| vecA = vldrwq_f32(&pInA0[4]); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA1[4]); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA2[4]); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc1[1] + acc1[3]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc2[0] + acc2[2]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc2[1] + acc2[3]; |
| pOut += CMPLX_DIM; |
| |
| /* |
| * move to next B column |
| */ |
| pInB = pInB + CMPLX_DIM; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA2); |
| acc2 = vcmulq(vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecB = vldrwq_gather_shifted_offset_z(pInB, vecColBOffs1, p0); |
| |
| vecA = vldrwq_f32(&pInA0[4]); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA1[4]); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA2[4]); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc1[1] + acc1[3]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc2[0] + acc2[2]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc2[1] + acc2[3]; |
| pOut += CMPLX_DIM; |
| |
| /* |
| * move to next B column |
| */ |
| pInB = pInB + CMPLX_DIM; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA2); |
| acc2 = vcmulq(vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecB = vldrwq_gather_shifted_offset_z(pInB, vecColBOffs1, p0); |
| |
| vecA = vldrwq_f32(&pInA0[4]); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA1[4]); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA2[4]); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc1[1] + acc1[3]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM3 + 0] = acc2[0] + acc2[2]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM3 + 1] = acc2[1] + acc2[3]; |
| /* |
| * Return to application |
| */ |
| return (ARM_MATH_SUCCESS); |
| } |
| |
| |
| |
| __STATIC_INLINE arm_status arm_mat_cmplx_mult_f32_4x4_mve( |
| const arm_matrix_instance_f32 * pSrcA, |
| const arm_matrix_instance_f32 * pSrcB, |
| arm_matrix_instance_f32 * pDst) |
| { |
| float32_t const *pInB = 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 */ |
| uint32x4_t vecColBOffs0, vecColBOffs1; |
| float32_t *pInA0 = pInA; |
| float32_t *pInA1 = pInA0 + CMPLX_DIM * MATRIX_DIM4; |
| float32_t *pInA2 = pInA1 + CMPLX_DIM * MATRIX_DIM4; |
| float32_t *pInA3 = pInA2 + CMPLX_DIM * MATRIX_DIM4; |
| f32x4_t acc0, acc1, acc2, acc3; |
| f32x4_t vecB, vecA; |
| |
| static const uint32_t offsetB0[4] = { 0, 1, |
| MATRIX_DIM4 * CMPLX_DIM, MATRIX_DIM4 * CMPLX_DIM + 1 |
| }; |
| static const uint32_t offsetB1[4] = { 2 * MATRIX_DIM4 * CMPLX_DIM, 2 * MATRIX_DIM4 * CMPLX_DIM + 1, |
| 3 * MATRIX_DIM4 * CMPLX_DIM, 3 * MATRIX_DIM4 * CMPLX_DIM + 1 |
| }; |
| |
| vecColBOffs0 = vldrwq_u32((uint32_t const *) offsetB0); |
| vecColBOffs1 = vldrwq_u32((uint32_t const *) offsetB1); |
| |
| pInB = (float32_t const *)pSrcB->pData; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA2); |
| acc2 = vcmulq(vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA3); |
| acc3 = vcmulq(vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs1); |
| |
| vecA = vldrwq_f32(&pInA0[4]); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA1[4]); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA2[4]); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA3[4]); |
| acc3 = vcmlaq(acc3, vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc1[1] + acc1[3]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc2[0] + acc2[2]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc2[1] + acc2[3]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc3[0] + acc3[2]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc3[1] + acc3[3]; |
| pOut += CMPLX_DIM; |
| |
| /* |
| * move to next B column |
| */ |
| pInB = pInB + CMPLX_DIM; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA2); |
| acc2 = vcmulq(vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA3); |
| acc3 = vcmulq(vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs1); |
| |
| vecA = vldrwq_f32(&pInA0[4]); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA1[4]); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA2[4]); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA3[4]); |
| acc3 = vcmlaq(acc3, vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc1[1] + acc1[3]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc2[0] + acc2[2]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc2[1] + acc2[3]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc3[0] + acc3[2]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc3[1] + acc3[3]; |
| pOut += CMPLX_DIM; |
| |
| /* |
| * move to next B column |
| */ |
| pInB = pInB + CMPLX_DIM; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA2); |
| acc2 = vcmulq(vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA3); |
| acc3 = vcmulq(vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs1); |
| |
| vecA = vldrwq_f32(&pInA0[4]); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA1[4]); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA2[4]); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA3[4]); |
| acc3 = vcmlaq(acc3, vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc1[1] + acc1[3]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc2[0] + acc2[2]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc2[1] + acc2[3]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc3[0] + acc3[2]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc3[1] + acc3[3]; |
| pOut += CMPLX_DIM; |
| |
| /* |
| * move to next B column |
| */ |
| pInB = pInB + CMPLX_DIM; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs0); |
| |
| vecA = vldrwq_f32(pInA0); |
| acc0 = vcmulq(vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA1); |
| acc1 = vcmulq(vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA2); |
| acc2 = vcmulq(vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(pInA3); |
| acc3 = vcmulq(vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecColBOffs1); |
| |
| vecA = vldrwq_f32(&pInA0[4]); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA1[4]); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA2[4]); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| |
| vecA = vldrwq_f32(&pInA3[4]); |
| acc3 = vcmlaq(acc3, vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc0[0] + acc0[2]; |
| pOut[0 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc0[1] + acc0[3]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc1[0] + acc1[2]; |
| pOut[1 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc1[1] + acc1[3]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc2[0] + acc2[2]; |
| pOut[2 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc2[1] + acc2[3]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 0] = acc3[0] + acc3[2]; |
| pOut[3 * CMPLX_DIM * MATRIX_DIM4 + 1] = acc3[1] + acc3[3]; |
| /* |
| * Return to application |
| */ |
| return (ARM_MATH_SUCCESS); |
| } |
| |
| 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 const *pInB = (float32_t const *) pSrcB->pData; /* input data matrix pointer B */ |
| float32_t const *pInA = (float32_t const *) 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 */ |
| uint16_t col, i = 0U, row = numRowsA, colCnt; /* loop counters */ |
| arm_status status; /* status of matrix multiplication */ |
| uint32x4_t vecOffs, vecColBOffs; |
| uint32_t blkCnt, rowCnt; /* loop counters */ |
| |
| #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 */ |
| |
| { |
| /* |
| * small squared matrix specialized routines |
| */ |
| if (numRowsA == numColsB && numColsB == numColsA) |
| { |
| if (numRowsA == 1) |
| { |
| pOut[0] = pInA[0] * pInB[0] - pInA[1] * pInB[1]; |
| pOut[1] = pInA[0] * pInB[1] + pInA[1] * pInB[0]; |
| return (ARM_MATH_SUCCESS); |
| } |
| else if (numRowsA == 2) |
| return arm_mat_cmplx_mult_f32_2x2_mve(pSrcA, pSrcB, pDst); |
| else if (numRowsA == 3) |
| return arm_mat_cmplx_mult_f32_3x3_mve(pSrcA, pSrcB, pDst); |
| else if (numRowsA == 4) |
| return arm_mat_cmplx_mult_f32_4x4_mve(pSrcA, pSrcB, pDst); |
| } |
| |
| vecColBOffs[0] = 0; |
| vecColBOffs[1] = 1; |
| vecColBOffs[2] = numColsB * CMPLX_DIM; |
| vecColBOffs[3] = (numColsB * CMPLX_DIM) + 1; |
| |
| /* |
| * The following loop performs the dot-product of each row in pSrcA with each column in pSrcB |
| */ |
| |
| /* |
| * row loop |
| */ |
| rowCnt = row >> 2; |
| while (rowCnt > 0u) |
| { |
| /* |
| * Output pointer is set to starting address of the row being processed |
| */ |
| px = pOut + i * CMPLX_DIM; |
| i = i + 4 * numColsB; |
| /* |
| * For every row wise process, the column loop counter is to be initiated |
| */ |
| col = numColsB; |
| /* |
| * For every row wise process, the pInB pointer is set |
| * to the starting address of the pSrcB data |
| */ |
| pInB = (float32_t const *) pSrcB->pData; |
| /* |
| * column loop |
| */ |
| while (col > 0u) |
| { |
| /* |
| * generate 4 columns elements |
| */ |
| /* |
| * Matrix A columns number of MAC operations are to be performed |
| */ |
| colCnt = numColsA; |
| |
| float32_t const *pSrcA0Vec, *pSrcA1Vec, *pSrcA2Vec, *pSrcA3Vec; |
| float32_t const *pInA0 = pInA; |
| float32_t const *pInA1 = pInA0 + numColsA * CMPLX_DIM; |
| float32_t const *pInA2 = pInA1 + numColsA * CMPLX_DIM; |
| float32_t const *pInA3 = pInA2 + numColsA * CMPLX_DIM; |
| f32x4_t acc0, acc1, acc2, acc3; |
| |
| acc0 = vdupq_n_f32(0.0f); |
| acc1 = vdupq_n_f32(0.0f); |
| acc2 = vdupq_n_f32(0.0f); |
| acc3 = vdupq_n_f32(0.0f); |
| |
| pSrcA0Vec = (float32_t const *) pInA0; |
| pSrcA1Vec = (float32_t const *) pInA1; |
| pSrcA2Vec = (float32_t const *) pInA2; |
| pSrcA3Vec = (float32_t const *) pInA3; |
| |
| vecOffs = vecColBOffs; |
| |
| /* |
| * process 1 x 4 block output |
| */ |
| blkCnt = (numColsA * CMPLX_DIM) >> 2; |
| while (blkCnt > 0U) |
| { |
| f32x4_t vecB, vecA; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecOffs); |
| /* |
| * move Matrix B read offsets, 4 rows down |
| */ |
| vecOffs = vecOffs + (uint32_t) (numColsB * 2 * CMPLX_DIM); |
| |
| vecA = vld1q(pSrcA0Vec); pSrcA0Vec += 4; |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| vecA = vld1q(pSrcA1Vec); pSrcA1Vec += 4; |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| vecA = vld1q(pSrcA2Vec); pSrcA2Vec += 4; |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| vecA = vld1q(pSrcA3Vec); pSrcA3Vec += 4; |
| acc3 = vcmlaq(acc3, vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| blkCnt--; |
| } |
| |
| |
| /* |
| * tail |
| * (will be merged thru tail predication) |
| */ |
| blkCnt = (numColsA * CMPLX_DIM) & 3; |
| if (blkCnt > 0U) |
| { |
| mve_pred16_t p0 = vctp32q(blkCnt); |
| f32x4_t vecB, vecA; |
| |
| vecB = vldrwq_gather_shifted_offset_z(pInB, vecOffs, p0); |
| /* |
| * move Matrix B read offsets, 4 rows down |
| */ |
| vecOffs = vecOffs + (uint32_t) (numColsB * 2 * CMPLX_DIM); |
| |
| vecA = vld1q(pSrcA0Vec); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| vecA = vld1q(pSrcA1Vec); |
| acc1 = vcmlaq(acc1, vecA, vecB); |
| acc1 = vcmlaq_rot90(acc1, vecA, vecB); |
| vecA = vld1q(pSrcA2Vec); |
| acc2 = vcmlaq(acc2, vecA, vecB); |
| acc2 = vcmlaq_rot90(acc2, vecA, vecB); |
| vecA = vld1q(pSrcA3Vec); |
| acc3 = vcmlaq(acc3, vecA, vecB); |
| acc3 = vcmlaq_rot90(acc3, vecA, vecB); |
| |
| } |
| |
| px[0 * CMPLX_DIM * numColsB + 0] = acc0[0] + acc0[2]; |
| px[0 * CMPLX_DIM * numColsB + 1] = acc0[1] + acc0[3]; |
| px[1 * CMPLX_DIM * numColsB + 0] = acc1[0] + acc1[2]; |
| px[1 * CMPLX_DIM * numColsB + 1] = acc1[1] + acc1[3]; |
| px[2 * CMPLX_DIM * numColsB + 0] = acc2[0] + acc2[2]; |
| px[2 * CMPLX_DIM * numColsB + 1] = acc2[1] + acc2[3]; |
| px[3 * CMPLX_DIM * numColsB + 0] = acc3[0] + acc3[2]; |
| px[3 * CMPLX_DIM * numColsB + 1] = acc3[1] + acc3[3]; |
| px += CMPLX_DIM; |
| /* |
| * Decrement the column loop counter |
| */ |
| col--; |
| /* |
| * Update the pointer pInB to point to the starting address of the next column |
| */ |
| pInB = (float32_t const *) pSrcB->pData + (numColsB - col) * CMPLX_DIM; |
| } |
| |
| /* |
| * Update the pointer pInA to point to the starting address of the next row |
| */ |
| pInA += (numColsA * 4) * CMPLX_DIM; |
| /* |
| * Decrement the row loop counter |
| */ |
| rowCnt --; |
| |
| } |
| |
| rowCnt = row & 3; |
| while (rowCnt > 0u) |
| { |
| /* |
| * Output pointer is set to starting address of the row being processed |
| */ |
| px = pOut + i * CMPLX_DIM; |
| i = i + numColsB; |
| /* |
| * For every row wise process, the column loop counter is to be initiated |
| */ |
| col = numColsB; |
| /* |
| * For every row wise process, the pInB pointer is set |
| * to the starting address of the pSrcB data |
| */ |
| pInB = (float32_t const *) pSrcB->pData; |
| /* |
| * column loop |
| */ |
| while (col > 0u) |
| { |
| /* |
| * generate 4 columns elements |
| */ |
| /* |
| * Matrix A columns number of MAC operations are to be performed |
| */ |
| colCnt = numColsA; |
| |
| float32_t const *pSrcA0Vec; |
| float32_t const *pInA0 = pInA; |
| f32x4_t acc0; |
| |
| acc0 = vdupq_n_f32(0.0f); |
| |
| pSrcA0Vec = (float32_t const *) pInA0; |
| |
| vecOffs = vecColBOffs; |
| |
| /* |
| * process 1 x 4 block output |
| */ |
| blkCnt = (numColsA * CMPLX_DIM) >> 2; |
| while (blkCnt > 0U) |
| { |
| f32x4_t vecB, vecA; |
| |
| vecB = vldrwq_gather_shifted_offset(pInB, vecOffs); |
| /* |
| * move Matrix B read offsets, 4 rows down |
| */ |
| vecOffs = vecOffs + (uint32_t) (numColsB * 2 * CMPLX_DIM); |
| |
| vecA = vld1q(pSrcA0Vec); |
| pSrcA0Vec += 4; |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| |
| blkCnt--; |
| } |
| |
| |
| /* |
| * tail |
| */ |
| blkCnt = (numColsA * CMPLX_DIM) & 3; |
| if (blkCnt > 0U) |
| { |
| mve_pred16_t p0 = vctp32q(blkCnt); |
| f32x4_t vecB, vecA; |
| |
| vecB = vldrwq_gather_shifted_offset_z(pInB, vecOffs, p0); |
| |
| vecA = vld1q(pSrcA0Vec); |
| acc0 = vcmlaq(acc0, vecA, vecB); |
| acc0 = vcmlaq_rot90(acc0, vecA, vecB); |
| |
| } |
| |
| px[0] = acc0[0] + acc0[2]; |
| px[1] = acc0[1] + acc0[3]; |
| |
| px += CMPLX_DIM; |
| /* |
| * Decrement the column loop counter |
| */ |
| col--; |
| /* |
| * Update the pointer pInB to point to the starting address of the next column |
| */ |
| pInB = (float32_t const *) pSrcB->pData + (numColsB - col) * CMPLX_DIM; |
| } |
| |
| /* |
| * Update the pointer pInA to point to the starting address of the next row |
| */ |
| pInA += numColsA * CMPLX_DIM; |
| rowCnt--; |
| } |
| |
| |
| /* Set status as ARM_MATH_SUCCESS */ |
| status = ARM_MATH_SUCCESS; |
| } |
| |
| /* Return to application */ |
| return (status); |
| |
| } |
| |
| #else |
| #if defined(ARM_MATH_NEON) |
| 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 a1, a1B,b1, b1B, c1, d1; |
| float32_t sumReal2, sumImag2; /* accumulator */ |
| |
| |
| float32x4x2_t a0V, a1V; |
| float32x4_t accR0,accI0, accR1,accI1,tempR, tempI; |
| float32x2_t accum = vdup_n_f32(0); |
| float32_t *pIn1B = pSrcA->pData; |
| |
| uint16_t col, i = 0U, j, rowCnt, row = numRowsA, colCnt; /* loop counters */ |
| arm_status status; /* status of matrix multiplication */ |
| float32_t sumReal1B, sumImag1B; |
| float32_t sumReal2B, sumImag2B; |
| float32_t *pxB; |
| |
| #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 */ |
| |
| rowCnt = row >> 1; |
| |
| /* Row loop */ |
| while (rowCnt > 0U) |
| { |
| /* Output pointer is set to starting address of the row being processed */ |
| px = pOut + 2 * i; |
| pxB = px + 2 * numColsB; |
| |
| /* 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 */ |
| while (col > 0U) |
| { |
| /* Set the variable sum, that acts as accumulator, to zero */ |
| sumReal1 = 0.0f; |
| sumImag1 = 0.0f; |
| sumReal1B = 0.0f; |
| sumImag1B = 0.0f; |
| |
| sumReal2 = 0.0f; |
| sumImag2 = 0.0f; |
| sumReal2B = 0.0f; |
| sumImag2B = 0.0f; |
| |
| /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ |
| pIn1 = pInA; |
| pIn1B = pIn1 + 2*numColsA; |
| |
| accR0 = vdupq_n_f32(0.0); |
| accI0 = vdupq_n_f32(0.0); |
| accR1 = vdupq_n_f32(0.0); |
| accI1 = vdupq_n_f32(0.0); |
| |
| /* Compute 4 MACs simultaneously. */ |
| colCnt = numColsA >> 2; |
| |
| /* Matrix multiplication */ |
| while (colCnt > 0U) |
| { |
| /* Reading real part of complex matrix A */ |
| a0V = vld2q_f32(pIn1); // load & separate real/imag pSrcA (de-interleave 2) |
| a1V = vld2q_f32(pIn1B); // load & separate real/imag pSrcA (de-interleave 2) |
| |
| pIn1 += 8; |
| pIn1B += 8; |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,0); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,0); |
| pIn2 += 2 * numColsB; |
| |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,1); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,1); |
| pIn2 += 2 * numColsB; |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,2); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,2); |
| pIn2 += 2 * numColsB; |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,3); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,3); |
| pIn2 += 2 * numColsB; |
| |
| accR0 = vmlaq_f32(accR0,a0V.val[0],tempR); |
| accR0 = vmlsq_f32(accR0,a0V.val[1],tempI); |
| |
| accI0 = vmlaq_f32(accI0,a0V.val[1],tempR); |
| accI0 = vmlaq_f32(accI0,a0V.val[0],tempI); |
| |
| accR1 = vmlaq_f32(accR1,a1V.val[0],tempR); |
| accR1 = vmlsq_f32(accR1,a1V.val[1],tempI); |
| |
| accI1 = vmlaq_f32(accI1,a1V.val[1],tempR); |
| accI1 = vmlaq_f32(accI1,a1V.val[0],tempI); |
| |
| /* Decrement the loop count */ |
| colCnt--; |
| } |
| |
| accum = vpadd_f32(vget_low_f32(accR0), vget_high_f32(accR0)); |
| sumReal1 += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1); |
| |
| accum = vpadd_f32(vget_low_f32(accI0), vget_high_f32(accI0)); |
| sumImag1 += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1); |
| |
| accum = vpadd_f32(vget_low_f32(accR1), vget_high_f32(accR1)); |
| sumReal1B += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1); |
| |
| accum = vpadd_f32(vget_low_f32(accI1), vget_high_f32(accI1)); |
| sumImag1B += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1); |
| |
| /* If the columns of pSrcA is not a multiple of 4, compute any remaining MACs here. |
| ** No loop unrolling is used. */ |
| colCnt = numColsA & 3; |
| |
| 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; |
| a1B = *pIn1B; |
| |
| c1 = *pIn2; |
| |
| b1 = *(pIn1 + 1U); |
| b1B = *(pIn1B + 1U); |
| |
| d1 = *(pIn2 + 1U); |
| |
| sumReal1 += a1 * c1; |
| sumImag1 += b1 * c1; |
| |
| sumReal1B += a1B * c1; |
| sumImag1B += b1B * c1; |
| |
| pIn1 += 2U; |
| pIn1B += 2U; |
| pIn2 += 2 * numColsB; |
| |
| sumReal2 -= b1 * d1; |
| sumImag2 += a1 * d1; |
| |
| sumReal2B -= b1B * d1; |
| sumImag2B += a1B * d1; |
| |
| /* Decrement the loop counter */ |
| colCnt--; |
| } |
| |
| sumReal1 += sumReal2; |
| sumImag1 += sumImag2; |
| |
| sumReal1B += sumReal2B; |
| sumImag1B += sumImag2B; |
| |
| /* Store the result in the destination buffer */ |
| *px++ = sumReal1; |
| *px++ = sumImag1; |
| *pxB++ = sumReal1B; |
| *pxB++ = sumImag1B; |
| |
| /* 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--; |
| } |
| |
| /* Update the pointer pInA to point to the starting address of the next 2 row */ |
| i = i + 2*numColsB; |
| pInA = pInA + 4 * numColsA; |
| |
| /* Decrement the row loop counter */ |
| rowCnt--; |
| } |
| |
| rowCnt = row & 1; |
| while (rowCnt > 0U) |
| { |
| /* 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 */ |
| while (col > 0U) |
| { |
| /* 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; |
| |
| accR0 = vdupq_n_f32(0.0); |
| accI0 = vdupq_n_f32(0.0); |
| |
| /* Compute 4 MACs simultaneously. */ |
| colCnt = numColsA >> 2; |
| |
| /* Matrix multiplication */ |
| while (colCnt > 0U) |
| { |
| /* Reading real part of complex matrix A */ |
| a0V = vld2q_f32(pIn1); // load & separate real/imag pSrcA (de-interleave 2) |
| pIn1 += 8; |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,0); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,0); |
| pIn2 += 2 * numColsB; |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,1); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,1); |
| pIn2 += 2 * numColsB; |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,2); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,2); |
| pIn2 += 2 * numColsB; |
| |
| tempR = vsetq_lane_f32(*pIn2,tempR,3); |
| tempI = vsetq_lane_f32(*(pIn2 + 1U),tempI,3); |
| pIn2 += 2 * numColsB; |
| |
| accR0 = vmlaq_f32(accR0,a0V.val[0],tempR); |
| accR0 = vmlsq_f32(accR0,a0V.val[1],tempI); |
| |
| accI0 = vmlaq_f32(accI0,a0V.val[1],tempR); |
| accI0 = vmlaq_f32(accI0,a0V.val[0],tempI); |
| |
| /* Decrement the loop count */ |
| colCnt--; |
| } |
| |
| accum = vpadd_f32(vget_low_f32(accR0), vget_high_f32(accR0)); |
| sumReal1 += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1); |
| |
| accum = vpadd_f32(vget_low_f32(accI0), vget_high_f32(accI0)); |
| sumImag1 += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1); |
| |
| /* If the columns of pSrcA is not a multiple of 4, compute any remaining MACs here. |
| ** No loop unrolling is used. */ |
| colCnt = numColsA & 3; |
| |
| 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--; |
| |
| } |
| |
| /* 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 */ |
| rowCnt--; |
| |
| } |
| |
| /* Set status as ARM_MATH_SUCCESS */ |
| status = ARM_MATH_SUCCESS; |
| } |
| |
| /* Return to application */ |
| return (status); |
| } |
| #else |
| 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 sumReal, sumImag; /* Accumulator */ |
| float32_t a1, b1, c1, d1; |
| uint32_t col, i = 0U, j, row = numRowsA, colCnt; /* loop counters */ |
| arm_status status; /* status of matrix multiplication */ |
| |
| #if defined (ARM_MATH_LOOPUNROLL) |
| float32_t a0, b0, c0, d0; |
| #endif |
| |
| #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 */ |
| sumReal = 0.0f; |
| sumImag = 0.0f; |
| |
| /* Initiate pointer pIn1 to point to starting address of column being processed */ |
| pIn1 = pInA; |
| |
| #if defined (ARM_MATH_LOOPUNROLL) |
| |
| /* Apply loop unrolling and compute 4 MACs simultaneously. */ |
| colCnt = numColsA >> 2U; |
| |
| /* 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); |
| |
| /* Multiply and Accumlates */ |
| sumReal += a0 * c0; |
| sumImag += b0 * c0; |
| |
| /* update pointers */ |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| /* Multiply and Accumlates */ |
| sumReal -= b0 * d0; |
| sumImag += a0 * d0; |
| |
| /* c(m,n) = a(1,1) * b(1,1) + a(1,2) * b(2,1) + .... + a(m,p) * b(p,n) */ |
| |
| /* read real and imag values from pSrcA and pSrcB buffer */ |
| a1 = *(pIn1 ); |
| c1 = *(pIn2 ); |
| b1 = *(pIn1 + 1U); |
| d1 = *(pIn2 + 1U); |
| |
| /* Multiply and Accumlates */ |
| sumReal += a1 * c1; |
| sumImag += b1 * c1; |
| |
| /* update pointers */ |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| /* Multiply and Accumlates */ |
| sumReal -= b1 * d1; |
| sumImag += a1 * d1; |
| |
| a0 = *(pIn1 ); |
| c0 = *(pIn2 ); |
| b0 = *(pIn1 + 1U); |
| d0 = *(pIn2 + 1U); |
| |
| /* Multiply and Accumlates */ |
| sumReal += a0 * c0; |
| sumImag += b0 * c0; |
| |
| /* update pointers */ |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| /* Multiply and Accumlates */ |
| sumReal -= b0 * d0; |
| sumImag += 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); |
| |
| /* Multiply and Accumlates */ |
| sumReal += a1 * c1; |
| sumImag += b1 * c1; |
| |
| /* update pointers */ |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| /* Multiply and Accumlates */ |
| sumReal -= b1 * d1; |
| sumImag += a1 * d1; |
| |
| /* Decrement 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; |
| |
| #else |
| |
| /* Initialize blkCnt with number of samples */ |
| colCnt = numColsA; |
| |
| #endif /* #if defined (ARM_MATH_LOOPUNROLL) */ |
| |
| 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); |
| |
| /* Multiply and Accumlates */ |
| sumReal += a1 * c1; |
| sumImag += b1 * c1; |
| |
| /* update pointers */ |
| pIn1 += 2U; |
| pIn2 += 2 * numColsB; |
| |
| /* Multiply and Accumlates */ |
| sumReal -= b1 * d1; |
| sumImag += a1 * d1; |
| |
| /* Decrement loop counter */ |
| colCnt--; |
| } |
| |
| /* Store result in destination buffer */ |
| *px++ = sumReal; |
| *px++ = sumImag; |
| |
| /* Update pointer pIn2 to point to starting address of next column */ |
| j++; |
| pIn2 = pSrcB->pData + 2U * j; |
| |
| /* Decrement column loop counter */ |
| col--; |
| |
| } while (col > 0U); |
| |
| /* Update pointer pInA to point to starting address of next row */ |
| i = i + numColsB; |
| pInA = pInA + 2 * numColsA; |
| |
| /* Decrement row loop counter */ |
| row--; |
| |
| } while (row > 0U); |
| |
| /* Set status as ARM_MATH_SUCCESS */ |
| status = ARM_MATH_SUCCESS; |
| } |
| |
| /* Return to application */ |
| return (status); |
| } |
| |
| #endif /* #if defined(ARM_MATH_NEON) */ |
| #endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */ |
| |
| /** |
| @} end of MatrixMult group |
| */ |
