/*
 * Copyright (C) 2022 Arm Limited or its affiliates.
 *
 * 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_elementwise_add_s16
 * Description:  Elementwise add
 *
 * $Date:        14 Februari 2022
 * $Revision:    V.1.0.0
 *
 * Target Processor:  Cortex-M CPUs
 *
 * -------------------------------------------------------------------- */

#include "arm_nnfunctions.h"
#include "arm_nnsupportfunctions.h"

/**
 *  @ingroup groupNN
 */

/**
 * @addtogroup BasicMath
 * @{
 */

/*
 * s16 elementwise add
 *
 * Refer header file for details.
 *
 */

/* Note: __SHIFT is expected to be <=0 */

arm_status arm_elementwise_add_s16(const int16_t *input_1_vect,
                                   const int16_t *input_2_vect,
                                   const int32_t input_1_offset,
                                   const int32_t input_1_mult,
                                   const int32_t input_1_shift,
                                   const int32_t input_2_offset,
                                   const int32_t input_2_mult,
                                   const int32_t input_2_shift,
                                   const int32_t left_shift,
                                   int16_t *output,
                                   const int32_t out_offset,
                                   const int32_t out_mult,
                                   const int32_t out_shift,
                                   const int32_t out_activation_min,
                                   const int32_t out_activation_max,
                                   const int32_t block_size)
{
    (void)input_1_offset;
    (void)input_2_offset;
    (void)out_offset;
    int32_t loop_count;
    int32_t input_1;
    int32_t input_2;
    int32_t sum;

    loop_count = block_size;

    while (loop_count > 0)
    {
        /* C = A + B */
        input_1 = *input_1_vect++ << left_shift;
        input_2 = *input_2_vect++ << left_shift;

        input_1 = arm_nn_requantize(input_1, input_1_mult, input_1_shift);
        input_2 = arm_nn_requantize(input_2, input_2_mult, input_2_shift);

        sum = input_1 + input_2;
        sum = arm_nn_requantize(sum, out_mult, out_shift);

        sum = MAX(sum, out_activation_min);
        sum = MIN(sum, out_activation_max);

        *output++ = (int16_t)sum;

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

    return (ARM_MATH_SUCCESS);
}

/**
 * @} end of BasicMath group
 */