| /* ---------------------------------------------------------------------- |
| * Project: CMSIS DSP Library |
| * Title: arm_dot_prod_f32.c |
| * Description: Floating-point dot product |
| * |
| * $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 groupMath |
| */ |
| |
| /** |
| * @defgroup dot_prod Vector Dot Product |
| * |
| * Computes the dot product of two vectors. |
| * The vectors are multiplied element-by-element and then summed. |
| * |
| * <pre> |
| * sum = pSrcA[0]*pSrcB[0] + pSrcA[1]*pSrcB[1] + ... + pSrcA[blockSize-1]*pSrcB[blockSize-1] |
| * </pre> |
| * |
| * There are separate functions for floating-point, Q7, Q15, and Q31 data types. |
| */ |
| |
| /** |
| * @addtogroup dot_prod |
| * @{ |
| */ |
| |
| /** |
| * @brief Dot product of floating-point vectors. |
| * @param[in] *pSrcA points to the first input vector |
| * @param[in] *pSrcB points to the second input vector |
| * @param[in] blockSize number of samples in each vector |
| * @param[out] *result output result returned here |
| * @return none. |
| */ |
| |
| |
| void arm_dot_prod_f32( |
| float32_t * pSrcA, |
| float32_t * pSrcB, |
| uint32_t blockSize, |
| float32_t * result) |
| { |
| float32_t sum = 0.0f; /* Temporary result storage */ |
| uint32_t blkCnt; /* loop counter */ |
| |
| |
| #if defined (ARM_MATH_DSP) |
| |
| /* Run the below code for Cortex-M4 and Cortex-M3 */ |
| /*loop Unrolling */ |
| blkCnt = blockSize >> 2U; |
| |
| /* 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 (blkCnt > 0U) |
| { |
| /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ |
| /* Calculate dot product and then store the result in a temporary buffer */ |
| sum += (*pSrcA++) * (*pSrcB++); |
| sum += (*pSrcA++) * (*pSrcB++); |
| sum += (*pSrcA++) * (*pSrcB++); |
| sum += (*pSrcA++) * (*pSrcB++); |
| |
| /* Decrement the loop counter */ |
| blkCnt--; |
| } |
| |
| /* If the blockSize is not a multiple of 4, compute any remaining output samples here. |
| ** No loop unrolling is used. */ |
| blkCnt = blockSize % 0x4U; |
| |
| #else |
| |
| /* Run the below code for Cortex-M0 */ |
| |
| /* Initialize blkCnt with number of samples */ |
| blkCnt = blockSize; |
| |
| #endif /* #if defined (ARM_MATH_DSP) */ |
| |
| |
| while (blkCnt > 0U) |
| { |
| /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */ |
| /* Calculate dot product and then store the result in a temporary buffer. */ |
| sum += (*pSrcA++) * (*pSrcB++); |
| |
| /* Decrement the loop counter */ |
| blkCnt--; |
| } |
| /* Store the result back in the destination buffer */ |
| *result = sum; |
| } |
| |
| /** |
| * @} end of dot_prod group |
| */ |