edge-impulse-sdk/CMSIS/DSP/Source/ComplexMathFunctions/arm_cmplx_dot_prod_f32.c

#include "edge-impulse-sdk/dsp/config.hpp"
#if EIDSP_LOAD_CMSIS_DSP_SOURCES
/* ----------------------------------------------------------------------
 * Project:      CMSIS DSP Library
 * Title:        arm_cmplx_dot_prod_f32.c
 * Description:  Floating-point complex dot product
 *
 * $Date:        23 April 2021
 * $Revision:    V1.9.0
 *
 * 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 "edge-impulse-sdk/CMSIS/DSP/Include/dsp/complex_math_functions.h"

/**
  @ingroup groupCmplxMath
 */

/**
  @defgroup cmplx_dot_prod Complex Dot Product

  Computes the dot product of two complex vectors.
  The vectors are multiplied element-by-element and then summed.

  The <code>pSrcA</code> points to the first complex input vector and
  <code>pSrcB</code> points to the second complex input vector.
  <code>numSamples</code> specifies the number of complex samples
  and the data in each array is stored in an interleaved fashion
  (real, imag, real, imag, ...).
  Each array has a total of <code>2*numSamples</code> values.

  The underlying algorithm is used:

  <pre>
  realResult = 0;
  imagResult = 0;
  for (n = 0; n < numSamples; n++) {
      realResult += pSrcA[(2*n)+0] * pSrcB[(2*n)+0] - pSrcA[(2*n)+1] * pSrcB[(2*n)+1];
      imagResult += pSrcA[(2*n)+0] * pSrcB[(2*n)+1] + pSrcA[(2*n)+1] * pSrcB[(2*n)+0];
  }
  </pre>

  There are separate functions for floating-point, Q15, and Q31 data types.
 */

/**
  @addtogroup cmplx_dot_prod
  @{
 */

/**
  @brief         Floating-point complex dot product.
  @param[in]     pSrcA       points to the first input vector
  @param[in]     pSrcB       points to the second input vector
  @param[in]     numSamples  number of samples in each vector
  @param[out]    realResult  real part of the result returned here
  @param[out]    imagResult  imaginary part of the result returned here
  @return        none
 */

#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)

void arm_cmplx_dot_prod_f32(
    const float32_t * pSrcA,
    const float32_t * pSrcB,
    uint32_t numSamples,
    float32_t * realResult,
    float32_t * imagResult)
{
    int32_t         blkCnt;
    float32_t       real_sum, imag_sum;
    f32x4_t         vecSrcA, vecSrcB;
    f32x4_t         vec_acc = vdupq_n_f32(0.0f);
    f32x4_t         vecSrcC, vecSrcD;

    blkCnt = numSamples >> 2;
    blkCnt -= 1;
    if (blkCnt > 0) {
        /* should give more freedom to generate stall free code */
        vecSrcA = vld1q(pSrcA);
        vecSrcB = vld1q(pSrcB);
        pSrcA += 4;
        pSrcB += 4;

        while (blkCnt > 0) {
            vec_acc = vcmlaq(vec_acc, vecSrcA, vecSrcB);
            vecSrcC = vld1q(pSrcA);
            pSrcA += 4;

            vec_acc = vcmlaq_rot90(vec_acc, vecSrcA, vecSrcB);
            vecSrcD = vld1q(pSrcB);
            pSrcB += 4;

            vec_acc = vcmlaq(vec_acc, vecSrcC, vecSrcD);
            vecSrcA = vld1q(pSrcA);
            pSrcA += 4;

            vec_acc = vcmlaq_rot90(vec_acc, vecSrcC, vecSrcD);
            vecSrcB = vld1q(pSrcB);
            pSrcB += 4;
            /*
             * Decrement the blockSize loop counter
             */
            blkCnt--;
        }

         /* process last elements out of the loop avoid the armclang breaking the SW pipeline */
        vec_acc = vcmlaq(vec_acc, vecSrcA, vecSrcB);
        vecSrcC = vld1q(pSrcA);

        vec_acc = vcmlaq_rot90(vec_acc, vecSrcA, vecSrcB);
        vecSrcD = vld1q(pSrcB);

        vec_acc = vcmlaq(vec_acc, vecSrcC, vecSrcD);
        vec_acc = vcmlaq_rot90(vec_acc, vecSrcC, vecSrcD);

        /*
         * tail
         */
        blkCnt = CMPLX_DIM * (numSamples & 3);
        while (blkCnt > 0) {
            mve_pred16_t    p = vctp32q(blkCnt);
            pSrcA += 4;
            pSrcB += 4;
            vecSrcA = vldrwq_z_f32(pSrcA, p);
            vecSrcB = vldrwq_z_f32(pSrcB, p);
            vec_acc = vcmlaq_m(vec_acc, vecSrcA, vecSrcB, p);
            vec_acc = vcmlaq_rot90_m(vec_acc, vecSrcA, vecSrcB, p);
            blkCnt -= 4;
        }
    } else {
        /* small vector */
        blkCnt = numSamples * CMPLX_DIM;
        vec_acc = vdupq_n_f32(0.0f);

        do {
            mve_pred16_t    p = vctp32q(blkCnt);

            vecSrcA = vldrwq_z_f32(pSrcA, p);
            vecSrcB = vldrwq_z_f32(pSrcB, p);

            vec_acc = vcmlaq_m(vec_acc, vecSrcA, vecSrcB, p);
            vec_acc = vcmlaq_rot90_m(vec_acc, vecSrcA, vecSrcB, p);

            /*
             * Decrement the blkCnt loop counter
             * Advance vector source and destination pointers
             */
            pSrcA += 4;
            pSrcB += 4;
            blkCnt -= 4;
        }
        while (blkCnt > 0);
    }

    real_sum = vgetq_lane(vec_acc, 0) + vgetq_lane(vec_acc, 2);
    imag_sum = vgetq_lane(vec_acc, 1) + vgetq_lane(vec_acc, 3);

    /*
     * Store the real and imaginary results in the destination buffers
     */
    *realResult = real_sum;
    *imagResult = imag_sum;
}

#else
void arm_cmplx_dot_prod_f32(
  const float32_t * pSrcA,
  const float32_t * pSrcB,
        uint32_t numSamples,
        float32_t * realResult,
        float32_t * imagResult)
{
        uint32_t blkCnt;                               /* Loop counter */
        float32_t real_sum = 0.0f, imag_sum = 0.0f;    /* Temporary result variables */
        float32_t a0,b0,c0,d0;

#if defined(ARM_MATH_NEON) && !defined(ARM_MATH_AUTOVECTORIZE)
    float32x4x2_t vec1,vec2,vec3,vec4;
    float32x4_t accR,accI;
    float32x2_t accum = vdup_n_f32(0);

    accR = vdupq_n_f32(0.0f);
    accI = vdupq_n_f32(0.0f);

    /* Loop unrolling: Compute 8 outputs at a time */
    blkCnt = numSamples >> 3U;

    while (blkCnt > 0U)
    {
	/* C = (A[0]+jA[1])*(B[0]+jB[1]) + ...  */
        /* Calculate dot product and then store the result in a temporary buffer. */

	      vec1 = vld2q_f32(pSrcA);
        vec2 = vld2q_f32(pSrcB);

	/* Increment pointers */
        pSrcA += 8;
        pSrcB += 8;

	/* Re{C} = Re{A}*Re{B} - Im{A}*Im{B} */
        accR = vmlaq_f32(accR,vec1.val[0],vec2.val[0]);
        accR = vmlsq_f32(accR,vec1.val[1],vec2.val[1]);

	/* Im{C} = Re{A}*Im{B} + Im{A}*Re{B} */
        accI = vmlaq_f32(accI,vec1.val[1],vec2.val[0]);
        accI = vmlaq_f32(accI,vec1.val[0],vec2.val[1]);

        vec3 = vld2q_f32(pSrcA);
        vec4 = vld2q_f32(pSrcB);
	
	/* Increment pointers */
        pSrcA += 8;
        pSrcB += 8;

	/* Re{C} = Re{A}*Re{B} - Im{A}*Im{B} */
        accR = vmlaq_f32(accR,vec3.val[0],vec4.val[0]);
        accR = vmlsq_f32(accR,vec3.val[1],vec4.val[1]);

	/* Im{C} = Re{A}*Im{B} + Im{A}*Re{B} */
        accI = vmlaq_f32(accI,vec3.val[1],vec4.val[0]);
        accI = vmlaq_f32(accI,vec3.val[0],vec4.val[1]);

        /* Decrement the loop counter */
        blkCnt--;
    }

    accum = vpadd_f32(vget_low_f32(accR), vget_high_f32(accR));
    real_sum += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1);

    accum = vpadd_f32(vget_low_f32(accI), vget_high_f32(accI));
    imag_sum += vget_lane_f32(accum, 0) + vget_lane_f32(accum, 1);

    /* Tail */
    blkCnt = numSamples & 0x7;

#else
#if defined (ARM_MATH_LOOPUNROLL) && !defined(ARM_MATH_AUTOVECTORIZE)

  /* Loop unrolling: Compute 4 outputs at a time */
  blkCnt = numSamples >> 2U;

  while (blkCnt > 0U)
  {
    a0 = *pSrcA++;
    b0 = *pSrcA++;
    c0 = *pSrcB++;
    d0 = *pSrcB++;

    real_sum += a0 * c0;
    imag_sum += a0 * d0;
    real_sum -= b0 * d0;
    imag_sum += b0 * c0;

    a0 = *pSrcA++;
    b0 = *pSrcA++;
    c0 = *pSrcB++;
    d0 = *pSrcB++;

    real_sum += a0 * c0;
    imag_sum += a0 * d0;
    real_sum -= b0 * d0;
    imag_sum += b0 * c0;

    a0 = *pSrcA++;
    b0 = *pSrcA++;
    c0 = *pSrcB++;
    d0 = *pSrcB++;

    real_sum += a0 * c0;
    imag_sum += a0 * d0;
    real_sum -= b0 * d0;
    imag_sum += b0 * c0;

    a0 = *pSrcA++;
    b0 = *pSrcA++;
    c0 = *pSrcB++;
    d0 = *pSrcB++;

    real_sum += a0 * c0;
    imag_sum += a0 * d0;
    real_sum -= b0 * d0;
    imag_sum += b0 * c0;

    /* Decrement loop counter */
    blkCnt--;
  }

  /* Loop unrolling: Compute remaining outputs */
  blkCnt = numSamples % 0x4U;

#else

  /* Initialize blkCnt with number of samples */
  blkCnt = numSamples;

#endif /* #if defined (ARM_MATH_LOOPUNROLL) */
#endif /* #if defined(ARM_MATH_NEON) */

  while (blkCnt > 0U)
  {
    a0 = *pSrcA++;
    b0 = *pSrcA++;
    c0 = *pSrcB++;
    d0 = *pSrcB++;

    real_sum += a0 * c0;
    imag_sum += a0 * d0;
    real_sum -= b0 * d0;
    imag_sum += b0 * c0;

    /* Decrement loop counter */
    blkCnt--;
  }

  /* Store real and imaginary result in destination buffer. */
  *realResult = real_sum;
  *imagResult = imag_sum;
}
#endif /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */

/**
  @} end of cmplx_dot_prod group
 */

#endif // EIDSP_LOAD_CMSIS_DSP_SOURCES