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authorClyne Sullivan <clyne@bitgloo.com>2025-01-29 21:34:25 -0500
committerClyne Sullivan <clyne@bitgloo.com>2025-01-29 21:34:25 -0500
commit5b81bc8ccbd342b8566d88fc9f17a73aec03b5b6 (patch)
treecc57486912cfa74c6440d8b97c28f451ec787d78 /Drivers/CMSIS/DSP/Source/BasicMathFunctions/arm_dot_prod_f32.c
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+/* ----------------------------------------------------------------------
+ * Project: CMSIS DSP Library
+ * Title: arm_dot_prod_f32.c
+ * Description: Floating-point dot product
+ *
+ * $Date: 05 October 2021
+ * $Revision: V1.9.1
+ *
+ * Target Processor: Cortex-M and Cortex-A cores
+ * -------------------------------------------------------------------- */
+/*
+ * Copyright (C) 2010-2021 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 "dsp/basic_math_functions.h"
+
+/**
+ @ingroup groupMath
+ */
+
+/**
+ @defgroup BasicDotProd 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 BasicDotProd
+ @{
+ */
+
+/**
+ @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
+ */
+
+#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+#include "arm_helium_utils.h"
+
+
+void arm_dot_prod_f32(
+ const float32_t * pSrcA,
+ const float32_t * pSrcB,
+ uint32_t blockSize,
+ float32_t * result)
+{
+ f32x4_t vecA, vecB;
+ f32x4_t vecSum;
+ uint32_t blkCnt;
+ float32_t sum = 0.0f;
+ vecSum = vdupq_n_f32(0.0f);
+
+ /* Compute 4 outputs at a time */
+ blkCnt = blockSize >> 2U;
+ 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.
+ * and advance vector source and destination pointers
+ */
+ vecA = vld1q(pSrcA);
+ pSrcA += 4;
+
+ vecB = vld1q(pSrcB);
+ pSrcB += 4;
+
+ vecSum = vfmaq(vecSum, vecA, vecB);
+ /*
+ * Decrement the blockSize loop counter
+ */
+ blkCnt --;
+ }
+
+
+ blkCnt = blockSize & 3;
+ if (blkCnt > 0U)
+ {
+ /* C = A[0]* B[0] + A[1]* B[1] + A[2]* B[2] + .....+ A[blockSize-1]* B[blockSize-1] */
+
+ mve_pred16_t p0 = vctp32q(blkCnt);
+ vecA = vld1q(pSrcA);
+ vecB = vld1q(pSrcB);
+ vecSum = vfmaq_m(vecSum, vecA, vecB, p0);
+ }
+
+ sum = vecAddAcrossF32Mve(vecSum);
+
+ /* Store result in destination buffer */
+ *result = sum;
+
+}
+
+#else
+
+void arm_dot_prod_f32(
+ const float32_t * pSrcA,
+ const float32_t * pSrcB,
+ uint32_t blockSize,
+ float32_t * result)
+{
+ uint32_t blkCnt; /* Loop counter */
+ float32_t sum = 0.0f; /* Temporary return variable */
+
+#if defined(ARM_MATH_NEON) && !defined(ARM_MATH_AUTOVECTORIZE)
+ f32x4_t vec1;
+ f32x4_t vec2;
+ f32x4_t accum = vdupq_n_f32(0);
+#if !defined(__aarch64__)
+ f32x2_t tmp = vdup_n_f32(0);
+#endif
+
+ /* Compute 4 outputs at a time */
+ blkCnt = blockSize >> 2U;
+
+ vec1 = vld1q_f32(pSrcA);
+ vec2 = vld1q_f32(pSrcB);
+
+ 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. */
+
+ accum = vmlaq_f32(accum, vec1, vec2);
+
+ /* Increment pointers */
+ pSrcA += 4;
+ pSrcB += 4;
+
+ vec1 = vld1q_f32(pSrcA);
+ vec2 = vld1q_f32(pSrcB);
+
+ /* Decrement the loop counter */
+ blkCnt--;
+ }
+
+#if defined(__aarch64__)
+ sum = vpadds_f32(vpadd_f32(vget_low_f32(accum), vget_high_f32(accum)));
+#else
+ tmp = vpadd_f32(vget_low_f32(accum), vget_high_f32(accum));
+ sum = vget_lane_f32(tmp, 0) + vget_lane_f32(tmp, 1);
+
+#endif
+
+ /* Tail */
+ blkCnt = blockSize & 0x3;
+
+#else
+#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE)
+
+ /* Loop unrolling: Compute 4 outputs at a time */
+ 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 store result in a temporary buffer. */
+ sum += (*pSrcA++) * (*pSrcB++);
+
+ sum += (*pSrcA++) * (*pSrcB++);
+
+ sum += (*pSrcA++) * (*pSrcB++);
+
+ sum += (*pSrcA++) * (*pSrcB++);
+
+ /* Decrement loop counter */
+ blkCnt--;
+ }
+
+ /* Loop unrolling: Compute remaining outputs */
+ blkCnt = blockSize % 0x4U;
+
+#else
+
+ /* Initialize blkCnt with number of samples */
+ blkCnt = blockSize;
+
+#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
+#endif /* #if defined(ARM_MATH_NEON) */
+
+ 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 store result in a temporary buffer. */
+ sum += (*pSrcA++) * (*pSrcB++);
+
+ /* Decrement loop counter */
+ blkCnt--;
+ }
+
+ /* Store result in destination buffer */
+ *result = sum;
+}
+
+#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
+/**
+ @} end of BasicDotProd group
+ */