text: /* ----------------------------------------------------------------------
   * Project:      CMSIS DSP Library
   * Title:        arm_mat_cmplx_mult_f16.c
   * Description:  Floating-point matrix multiplication
   *
   * $Date:        18. March 2020
   * $Revision:    V1.6.0
   *
   * Target Processor: Cortex-M cores
   * -------------------------------------------------------------------- */
  /*
   * Copyright (C) 2010-2020 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/matrix_functions_f16.h"
  
  #if defined(ARM_FLOAT16_SUPPORTED)
  
  
  /**
    @ingroup groupMatrix
   */
  
  
  /**
    @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_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE) && defined(__CMSIS_GCC_H)
  #pragma GCC warning "Scalar version of arm_mat_cmplx_mult_f16 built. Helium version has build issues with gcc."
  #endif 
  
  #if defined(ARM_MATH_MVE_FLOAT16) && !defined(ARM_MATH_AUTOVECTORIZE) &&  !defined(__CMSIS_GCC_H)
  
  #include "arm_helium_utils.h"
  
  #define DONTCARE            0 /* inactive lane content */
  
  
  __STATIC_FORCEINLINE arm_status arm_mat_cmplx_mult_f16_2x2_mve(
      const arm_matrix_instance_f16 * pSrcA,
      const arm_matrix_instance_f16 * pSrcB,
      arm_matrix_instance_f16 * pDst)
  {
      const uint16_t   MATRIX_DIM = 2;
      float16_t const *pInB = pSrcB->pData;  /* input data matrix pointer B */
      float16_t       *pInA = pSrcA->pData;  /* input data matrix pointer A */
      float16_t       *pOut = pDst->pData;   /* output data matrix pointer */
      uint16x8_t     vecColBOffs0,vecColAOffs0,vecColAOffs1;
      float16_t       *pInA0 = pInA;
      f16x8_t        acc0, acc1;
      f16x8_t        vecB, vecA0, vecA1;
      f16x8_t        vecTmp;
      uint16_t         tmp;
      static const uint16_t offsetB0[8] = { 0, 1,
          MATRIX_DIM * CMPLX_DIM, MATRIX_DIM * CMPLX_DIM + 1,
          2, 3,
          MATRIX_DIM * CMPLX_DIM + 2 , MATRIX_DIM * CMPLX_DIM + 3,
      };
  
  
      vecColBOffs0 = vldrhq_u16((uint16_t const *) offsetB0);
  
      tmp = 0;
      vecColAOffs0 = viwdupq_u16(tmp, 4, 1);
  
      tmp = (CMPLX_DIM * MATRIX_DIM);
      vecColAOffs1 = vecColAOffs0 + (uint16_t)(CMPLX_DIM * MATRIX_DIM);
  
  
      pInB = (float16_t const *)pSrcB->pData;
  
      vecA0 = vldrhq_gather_shifted_offset_f16(pInA0, vecColAOffs0);
      vecA1 = vldrhq_gather_shifted_offset_f16(pInA0, vecColAOffs1);
  
  
      vecB = vldrhq_gather_shifted_offset(pInB, vecColBOffs0);
  
      acc0 = vcmulq(vecA0, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA0, vecB);
  
      acc1 = vcmulq(vecA1, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA1, vecB);
  
  
      /*
       * Compute
       *  re0+re1 | im0+im1 | re0+re1 | im0+im1
       *  re2+re3 | im2+im3 | re2+re3 | im2+im3
       */
  
      vecTmp = (f16x8_t) vrev64q_s32((int32x4_t) acc0);
      vecTmp = vaddq(vecTmp, acc0);
  
  
      *(float32_t *)(&pOut[0 * CMPLX_DIM * MATRIX_DIM]) = ((f32x4_t)vecTmp)[0];
      *(float32_t *)(&pOut[0 * CMPLX_DIM * MATRIX_DIM + CMPLX_DIM]) = ((f32x4_t)vecTmp)[2];
  
      vecTmp = (f16x8_t) vrev64q_s32((int32x4_t) acc1);
      vecTmp = vaddq(vecTmp, acc1);
  
      *(float32_t *)(&pOut[1 * CMPLX_DIM * MATRIX_DIM]) = ((f32x4_t)vecTmp)[0];
      *(float32_t *)(&pOut[1 * CMPLX_DIM * MATRIX_DIM + CMPLX_DIM]) = ((f32x4_t)vecTmp)[2];
  
      /*
       * Return to application
       */
      return (ARM_MATH_SUCCESS);
  }
  
  
  
  __STATIC_FORCEINLINE arm_status arm_mat_cmplx_mult_f16_3x3_mve(
      const arm_matrix_instance_f16 * pSrcA,
      const arm_matrix_instance_f16 * pSrcB,
      arm_matrix_instance_f16 * pDst)
  {
      const uint16_t   MATRIX_DIM = 3;
      float16_t const *pInB = pSrcB->pData;  /* input data matrix pointer B */
      float16_t       *pInA = pSrcA->pData;  /* input data matrix pointer A */
      float16_t       *pOut = pDst->pData;   /* output data matrix pointer */
      uint16x8_t     vecColBOffs0;
      float16_t       *pInA0 = pInA;
      float16_t       *pInA1 = pInA0 + CMPLX_DIM * MATRIX_DIM;
      float16_t       *pInA2 = pInA1 + CMPLX_DIM * MATRIX_DIM;
      f16x8_t        acc0, acc1, acc2;
      f16x8_t        vecB, vecA0, vecA1, vecA2;
      static const uint16_t offsetB0[8] = { 0, 1,
          MATRIX_DIM * CMPLX_DIM, MATRIX_DIM * CMPLX_DIM + 1,
          2 * MATRIX_DIM * CMPLX_DIM, 2 * MATRIX_DIM * CMPLX_DIM + 1,
          DONTCARE, DONTCARE
      };
  
      
      /* enable predication to disable upper half complex vector element */
      mve_pred16_t p0 = vctp16q(MATRIX_DIM * CMPLX_DIM);
  
      vecColBOffs0 = vldrhq_u16((uint16_t const *) offsetB0);
  
      pInB = (float16_t const *)pSrcB->pData;
  
      vecA0 = vldrhq_f16(pInA0);
      vecA1 = vldrhq_f16(pInA1);
      vecA2 = vldrhq_f16(pInA2);
  
      vecB = vldrhq_gather_shifted_offset_z(pInB, vecColBOffs0, p0);
  
      acc0 = vcmulq(vecA0, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA0, vecB);
  
      acc1 = vcmulq(vecA1, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA1, vecB);
  
      acc2 = vcmulq(vecA2, vecB);
      acc2 = vcmlaq_rot90(acc2, vecA2, vecB);
  
      mve_cmplx_sum_intra_vec_f16(acc0, &pOut[0 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc1, &pOut[1 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc2, &pOut[2 * CMPLX_DIM * MATRIX_DIM]);
      pOut += CMPLX_DIM;
      /*
       * move to next B column
       */
      pInB = pInB + CMPLX_DIM;
  
      vecB = vldrhq_gather_shifted_offset_z(pInB, vecColBOffs0, p0);
  
      acc0 = vcmulq(vecA0, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA0, vecB);
  
      acc1 = vcmulq(vecA1, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA1, vecB);
  
      acc2 = vcmulq(vecA2, vecB);
      acc2 = vcmlaq_rot90(acc2, vecA2, vecB);
  
      mve_cmplx_sum_intra_vec_f16(acc0, &pOut[0 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc1, &pOut[1 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc2, &pOut[2 * CMPLX_DIM * MATRIX_DIM]);
      pOut += CMPLX_DIM;
      /*
       * move to next B column
       */
      pInB = pInB + CMPLX_DIM;
  
      vecB = vldrhq_gather_shifted_offset_z(pInB, vecColBOffs0, p0);
  
      acc0 = vcmulq(vecA0, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA0, vecB);
  
      acc1 = vcmulq(vecA1, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA1, vecB);
  
      acc2 = vcmulq(vecA2, vecB);
      acc2 = vcmlaq_rot90(acc2, vecA2, vecB);
  
      mve_cmplx_sum_intra_vec_f16(acc0, &pOut[0 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc1, &pOut[1 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc2, &pOut[2 * CMPLX_DIM * MATRIX_DIM]);
      /*
       * Return to application
       */
      return (ARM_MATH_SUCCESS);
  }
  
  
  
  
  __STATIC_FORCEINLINE arm_status arm_mat_cmplx_mult_f16_4x4_mve(
      const arm_matrix_instance_f16 * pSrcA,
      const arm_matrix_instance_f16 * pSrcB,
      arm_matrix_instance_f16 * pDst)
  {
      const uint16_t   MATRIX_DIM = 4;
      float16_t const *pInB = pSrcB->pData;  /* input data matrix pointer B */
      float16_t       *pInA = pSrcA->pData;  /* input data matrix pointer A */
      float16_t       *pOut = pDst->pData;   /* output data matrix pointer */
      uint16x8_t     vecColBOffs0;
      float16_t       *pInA0 = pInA;
      float16_t       *pInA1 = pInA0 + CMPLX_DIM * MATRIX_DIM;
      float16_t       *pInA2 = pInA1 + CMPLX_DIM * MATRIX_DIM;
      float16_t       *pInA3 = pInA2 + CMPLX_DIM * MATRIX_DIM;
      f16x8_t        acc0, acc1, acc2, acc3;
      f16x8_t        vecB, vecA;
      static const uint16_t offsetB0[8] = { 0, 1,
          MATRIX_DIM * CMPLX_DIM, MATRIX_DIM * CMPLX_DIM + 1,
          2 * MATRIX_DIM * CMPLX_DIM, 2 * MATRIX_DIM * CMPLX_DIM + 1,
          3 * MATRIX_DIM * CMPLX_DIM, 3 * MATRIX_DIM * CMPLX_DIM + 1
      };
  
      vecColBOffs0 = vldrhq_u16((uint16_t const *) offsetB0);
  
      pInB = (float16_t const *)pSrcB->pData;
  
      vecB = vldrhq_gather_shifted_offset(pInB, vecColBOffs0);
  
      vecA = vldrhq_f16(pInA0);
      acc0 = vcmulq(vecA, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA, vecB);
  
      vecA = vldrhq_f16(pInA1);
      acc1 = vcmulq(vecA, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA, vecB);
  
      vecA = vldrhq_f16(pInA2);
      acc2 = vcmulq(vecA, vecB);
      acc2 = vcmlaq_rot90(acc2, vecA, vecB);
  
      vecA = vldrhq_f16(pInA3);
      acc3 = vcmulq(vecA, vecB);
      acc3 = vcmlaq_rot90(acc3, vecA, vecB);
  
  
      mve_cmplx_sum_intra_vec_f16(acc0, &pOut[0 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc1, &pOut[1 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc2, &pOut[2 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc3, &pOut[3 * CMPLX_DIM * MATRIX_DIM]);
      pOut += CMPLX_DIM;
      /*
       * move to next B column
       */
      pInB = pInB + CMPLX_DIM;
  
      vecB = vldrhq_gather_shifted_offset(pInB, vecColBOffs0);
  
      vecA = vldrhq_f16(pInA0);
      acc0 = vcmulq(vecA, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA, vecB);
  
      vecA = vldrhq_f16(pInA1);
      acc1 = vcmulq(vecA, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA, vecB);
  
      vecA = vldrhq_f16(pInA2);
      acc2 = vcmulq(vecA, vecB);
      acc2 = vcmlaq_rot90(acc2, vecA, vecB);
  
      vecA = vldrhq_f16(pInA3);
      acc3 = vcmulq(vecA, vecB);
      acc3 = vcmlaq_rot90(acc3, vecA, vecB);
  
  
      mve_cmplx_sum_intra_vec_f16(acc0, &pOut[0 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc1, &pOut[1 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc2, &pOut[2 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc3, &pOut[3 * CMPLX_DIM * MATRIX_DIM]);
      pOut += CMPLX_DIM;
      /*
       * move to next B column
       */
      pInB = pInB + CMPLX_DIM;
  
      vecB = vldrhq_gather_shifted_offset(pInB, vecColBOffs0);
  
      vecA = vldrhq_f16(pInA0);
      acc0 = vcmulq(vecA, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA, vecB);
  
      vecA = vldrhq_f16(pInA1);
      acc1 = vcmulq(vecA, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA, vecB);
  
      vecA = vldrhq_f16(pInA2);
      acc2 = vcmulq(vecA, vecB);
      acc2 = vcmlaq_rot90(acc2, vecA, vecB);
  
      vecA = vldrhq_f16(pInA3);
      acc3 = vcmulq(vecA, vecB);
      acc3 = vcmlaq_rot90(acc3, vecA, vecB);
  
  
      mve_cmplx_sum_intra_vec_f16(acc0, &pOut[0 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc1, &pOut[1 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc2, &pOut[2 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc3, &pOut[3 * CMPLX_DIM * MATRIX_DIM]);
      pOut += CMPLX_DIM;
      /*
       * move to next B column
       */
      pInB = pInB + CMPLX_DIM;
  
      vecB = vldrhq_gather_shifted_offset(pInB, vecColBOffs0);
  
      vecA = vldrhq_f16(pInA0);
      acc0 = vcmulq(vecA, vecB);
      acc0 = vcmlaq_rot90(acc0, vecA, vecB);
  
      vecA = vldrhq_f16(pInA1);
      acc1 = vcmulq(vecA, vecB);
      acc1 = vcmlaq_rot90(acc1, vecA, vecB);
  
      vecA = vldrhq_f16(pInA2);
      acc2 = vcmulq(vecA, vecB);
      acc2 = vcmlaq_rot90(acc2, vecA, vecB);
  
      vecA = vldrhq_f16(pInA3);
      acc3 = vcmulq(vecA, vecB);
      acc3 = vcmlaq_rot90(acc3, vecA, vecB);
  
  
      mve_cmplx_sum_intra_vec_f16(acc0, &pOut[0 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc1, &pOut[1 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc2, &pOut[2 * CMPLX_DIM * MATRIX_DIM]);
      mve_cmplx_sum_intra_vec_f16(acc3, &pOut[3 * CMPLX_DIM * MATRIX_DIM]);
      /*
       * Return to application
       */
      return (ARM_MATH_SUCCESS);
  }
  
  
  
  arm_status arm_mat_cmplx_mult_f16(
    const arm_matrix_instance_f16 * pSrcA,
    const arm_matrix_instance_f16 * pSrcB,
    arm_matrix_instance_f16 * pDst)
  {
      float16_t const *pInB = (float16_t const *) pSrcB->pData;   /* input data matrix pointer B */
      float16_t const *pInA = (float16_t const *) pSrcA->pData;   /* input data matrix pointer A */
      float16_t *pOut = pDst->pData;  /* output data matrix pointer */
      float16_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;  /* loop counters */
      arm_status status;          /* status of matrix multiplication */
      uint16x8_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_f16_2x2_mve(pSrcA, pSrcB, pDst);
          else if (numRowsA == 3)
              return arm_mat_cmplx_mult_f16_3x3_mve(pSrcA, pSrcB, pDst);
          else if (numRowsA == 4)
              return arm_mat_cmplx_mult_f16_4x4_mve(pSrcA, pSrcB, pDst);
      }
  
      vecColBOffs[0] = 0;
      vecColBOffs[1] = 1;
      vecColBOffs[2] = numColsB * CMPLX_DIM;
      vecColBOffs[3] = (numColsB * CMPLX_DIM) + 1;
      vecColBOffs[4] = 2*numColsB * CMPLX_DIM;
      vecColBOffs[5] = 2*(numColsB * CMPLX_DIM) + 1;
      vecColBOffs[6] = 3*numColsB * CMPLX_DIM;
      vecColBOffs[7] = 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 = (float16_t const *) pSrcB->pData;
          /*
           * column loop
           */
          while (col > 0u)
          {
              /*
               * generate 4 columns elements
               */
              /*
               * Matrix A columns number of MAC operations are to be performed
               */
  
              float16_t const *pSrcA0Vec, *pSrcA1Vec, *pSrcA2Vec, *pSrcA3Vec;
              float16_t const *pInA0 = pInA;
              float16_t const *pInA1 = pInA0 + numColsA * CMPLX_DIM;
              float16_t const *pInA2 = pInA1 + numColsA * CMPLX_DIM;
              float16_t const *pInA3 = pInA2 + numColsA * CMPLX_DIM;
              f16x8_t acc0, acc1, acc2, acc3;
  
              acc0 = vdupq_n_f16(0.0f16);
              acc1 = vdupq_n_f16(0.0f16);
              acc2 = vdupq_n_f16(0.0f16);
              acc3 = vdupq_n_f16(0.0f16);
  
              pSrcA0Vec = (float16_t const *) pInA0;
              pSrcA1Vec = (float16_t const *) pInA1;
              pSrcA2Vec = (float16_t const *) pInA2;
              pSrcA3Vec = (float16_t const *) pInA3;
  
              vecOffs = vecColBOffs;
  
              /*
               * process 1 x 4 block output
               */
              blkCnt = (numColsA * CMPLX_DIM) >> 3;
              while (blkCnt > 0U)
              {
                  f16x8_t vecB, vecA;
  
                  vecB = vldrhq_gather_shifted_offset_f16(pInB, vecOffs);
                  /*
                   * move Matrix B read offsets, 4 rows down
                   */
                  vecOffs = vaddq_n_u16(vecOffs , (uint16_t) (numColsB * 4 * CMPLX_DIM));
  
                  vecA = vld1q(pSrcA0Vec);  pSrcA0Vec += 8;
                  acc0 = vcmlaq(acc0, vecA, vecB);
                  acc0 = vcmlaq_rot90(acc0, vecA, vecB);
  
                  vecA = vld1q(pSrcA1Vec);  pSrcA1Vec += 8;
                  acc1 = vcmlaq(acc1, vecA, vecB);
                  acc1 = vcmlaq_rot90(acc1, vecA, vecB);
  
                  vecA = vld1q(pSrcA2Vec);  pSrcA2Vec += 8;
                  acc2 = vcmlaq(acc2, vecA, vecB);
                  acc2 = vcmlaq_rot90(acc2, vecA, vecB);
  
                  vecA = vld1q(pSrcA3Vec);  pSrcA3Vec += 8;
                  acc3 = vcmlaq(acc3, vecA, vecB);
                  acc3 = vcmlaq_rot90(acc3, vecA, vecB);
  
                  blkCnt--;
              }
              /*
               * Unsupported addressing mode compiler crash
               */
              /*
               * tail
               * (will be merged thru tail predication)
               */
              blkCnt = (numColsA * CMPLX_DIM) & 7;
              if (blkCnt > 0U)
              {
                  mve_pred16_t p0 = vctp16q(blkCnt);
                  f16x8_t vecB, vecA;
  
                  vecB = vldrhq_gather_shifted_offset_z_f16(pInB, vecOffs, p0);
                  /*
                   * move Matrix B read offsets, 4 rows down
                   */
                  vecOffs = vaddq_n_u16(vecOffs, (uint16_t) (numColsB * 4 * 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);
  
              }
  
  
              mve_cmplx_sum_intra_vec_f16(acc0, &px[0 * CMPLX_DIM * numColsB + 0]);
              mve_cmplx_sum_intra_vec_f16(acc1, &px[1 * CMPLX_DIM * numColsB + 0]);
              mve_cmplx_sum_intra_vec_f16(acc2, &px[2 * CMPLX_DIM * numColsB + 0]);
              mve_cmplx_sum_intra_vec_f16(acc3, &px[3 * CMPLX_DIM * numColsB + 0]);
             
              px += CMPLX_DIM;
              /*
               * Decrement the column loop counter
               */
              col--;
              /*
               * Update the pointer pInB to point to the  starting address of the next column
               */
              pInB = (float16_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 = (float16_t const *) pSrcB->pData;
          /*
           * column loop
           */
          while (col > 0u)
          {
              /*
               * generate 4 columns elements
               */
              /*
               * Matrix A columns number of MAC operations are to be performed
               */
  
              float16_t const *pSrcA0Vec;
              float16_t const *pInA0 = pInA;
              f16x8_t acc0;
  
              acc0 = vdupq_n_f16(0.0f16);
  
              pSrcA0Vec = (float16_t const *) pInA0;
             
              vecOffs = vecColBOffs;
  
              /*
               * process 1 x 4 block output
               */
              blkCnt = (numColsA * CMPLX_DIM) >> 3;
              while (blkCnt > 0U)
              {
                  f16x8_t vecB, vecA;
  
                  vecB = vldrhq_gather_shifted_offset(pInB, vecOffs);
                  /*
                   * move Matrix B read offsets, 4 rows down
                   */
                  vecOffs = vaddq_n_u16(vecOffs, (uint16_t) (4*numColsB * CMPLX_DIM));
  
                  vecA = vld1q(pSrcA0Vec);  
                  pSrcA0Vec += 8;
                  acc0 = vcmlaq(acc0, vecA, vecB);
                  acc0 = vcmlaq_rot90(acc0, vecA, vecB);
                  
  
                  blkCnt--;
              }
  
  
              /*
               * tail
               */
              blkCnt = (numColsA * CMPLX_DIM) & 7;
              if (blkCnt > 0U)
              {
                  mve_pred16_t p0 = vctp16q(blkCnt);
                  f16x8_t vecB, vecA;
  
                  vecB = vldrhq_gather_shifted_offset_z(pInB, vecOffs, p0);
                 
                  vecA = vld1q(pSrcA0Vec);
                  acc0 = vcmlaq(acc0, vecA, vecB);
                  acc0 = vcmlaq_rot90(acc0, vecA, vecB);
  
              }
  
              mve_cmplx_sum_intra_vec_f16(acc0, &px[0]);
  
             
              px += CMPLX_DIM;
              /*
               * Decrement the column loop counter
               */
              col--;
              /*
               * Update the pointer pInB to point to the  starting address of the next column
               */
              pInB = (float16_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
  
  arm_status arm_mat_cmplx_mult_f16(
    const arm_matrix_instance_f16 * pSrcA,
    const arm_matrix_instance_f16 * pSrcB,
          arm_matrix_instance_f16 * pDst)
  {
    float16_t *pIn1 = pSrcA->pData;                /* Input data matrix pointer A */
    float16_t *pIn2 = pSrcB->pData;                /* Input data matrix pointer B */
    float16_t *pInA = pSrcA->pData;                /* Input data matrix pointer A */
    float16_t *pOut = pDst->pData;                 /* Output data matrix pointer */
    float16_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 */
    _Float16 sumReal, sumImag;                    /* Accumulator */
    _Float16 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)
    _Float16 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 = 0.0f16;
          sumImag = 0.0f16;
  
          /* 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 /* defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE) */
  
  /**
    @} end of MatrixMult group
   */
  
  #endif /* #if defined(ARM_FLOAT16_SUPPORTED) */ 
  
  