/*
 * Copyright (C) 2010-2018 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.
 */

/* ----------------------------------------------------------------------
 * Project:      CMSIS NN Library
 * Title:        arm_nn_mult_q7.c
 * Description:  Q7 vector multiplication with variable output shifts
 *
 * $Date:        09. October 2020
 * $Revision:    V.1.0.2
 *
 * Target Processor:  Cortex-M cores
 *
 * -------------------------------------------------------------------- */

#include "arm_nnsupportfunctions.h"

/**
 * @ingroup groupSupport
 */

/**
 * @addtogroup NNBasicMath
 * @{
 */

/**
 * @brief           Q7 vector multiplication with variable output shifts
 * @param[in]       *pSrcA        pointer to the first input vector
 * @param[in]       *pSrcB        pointer to the second input vector
 * @param[out]      *pDst         pointer to the output vector
 * @param[in]       out_shift     amount of right-shift for output
 * @param[in]       blockSize     number of samples in each vector
 *
 * <b>Scaling and Overflow Behavior:</b>
 * \par
 * The function uses saturating arithmetic.
 * Results outside of the allowable Q7 range [0x80 0x7F] will be saturated.
 */

void arm_nn_mult_q7(q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)
{
    uint32_t blkCnt; /* loop counters */

#if defined(ARM_MATH_DSP)

    /* Run the below code for Cortex-M4 and Cortex-M3 */
    q7_t out1, out2, out3, out4; /* Temporary variables to store the product */

    /* 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 * B */
        /* Multiply the inputs and store the results in temporary variables */
        out1 = (q7_t)__SSAT(((q15_t)((q15_t)(*pSrcA++) * (*pSrcB++) + NN_ROUND(out_shift)) >> out_shift), 8);
        out2 = (q7_t)__SSAT(((q15_t)((q15_t)(*pSrcA++) * (*pSrcB++) + NN_ROUND(out_shift)) >> out_shift), 8);
        out3 = (q7_t)__SSAT(((q15_t)((q15_t)(*pSrcA++) * (*pSrcB++) + NN_ROUND(out_shift)) >> out_shift), 8);
        out4 = (q7_t)__SSAT(((q15_t)((q15_t)(*pSrcA++) * (*pSrcB++) + NN_ROUND(out_shift)) >> out_shift), 8);

        /* Store the results of 4 inputs in the destination buffer in single cycle by packing */
        *__SIMD32(pDst)++ = __PACKq7(out1, out2, out3, out4);

        /* Decrement the blockSize 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 * B */
        /* Multiply the inputs and store the result in the destination buffer */
        *pDst++ = (q7_t)__SSAT(((q15_t)((q15_t)(*pSrcA++) * (*pSrcB++) + NN_ROUND(out_shift)) >> out_shift), 8);

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

/**
 * @} end of NNBasicMath group
 */
