106 lines
3.0 KiB
C
106 lines
3.0 KiB
C
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/*
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* Copyright (C) 2022 Arm Limited or its affiliates.
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*
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* SPDX-License-Identifier: Apache-2.0
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*
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* Licensed under the Apache License, Version 2.0 (the License); you may
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* not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/* ----------------------------------------------------------------------
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* Project: CMSIS NN Library
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* Title: arm_elementwise_add_s16
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* Description: Elementwise add
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*
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* $Date: 14 Februari 2022
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* $Revision: V.1.0.0
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*
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* Target Processor: Cortex-M CPUs
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*
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* -------------------------------------------------------------------- */
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#include "arm_nnfunctions.h"
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#include "arm_nnsupportfunctions.h"
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/**
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* @ingroup groupNN
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*/
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/**
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* @addtogroup BasicMath
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* @{
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*/
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/*
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* s16 elementwise add
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*
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* Refer header file for details.
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*
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*/
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/* Note: __SHIFT is expected to be <=0 */
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arm_status arm_elementwise_add_s16(const int16_t *input_1_vect,
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const int16_t *input_2_vect,
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const int32_t input_1_offset,
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const int32_t input_1_mult,
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const int32_t input_1_shift,
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const int32_t input_2_offset,
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const int32_t input_2_mult,
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const int32_t input_2_shift,
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const int32_t left_shift,
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int16_t *output,
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const int32_t out_offset,
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const int32_t out_mult,
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const int32_t out_shift,
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const int32_t out_activation_min,
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const int32_t out_activation_max,
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const int32_t block_size)
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{
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(void)input_1_offset;
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(void)input_2_offset;
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(void)out_offset;
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int32_t loop_count;
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int32_t input_1;
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int32_t input_2;
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int32_t sum;
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loop_count = block_size;
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while (loop_count > 0)
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{
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/* C = A + B */
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input_1 = *input_1_vect++ << left_shift;
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input_2 = *input_2_vect++ << left_shift;
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input_1 = arm_nn_requantize(input_1, input_1_mult, input_1_shift);
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input_2 = arm_nn_requantize(input_2, input_2_mult, input_2_shift);
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sum = input_1 + input_2;
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sum = arm_nn_requantize(sum, out_mult, out_shift);
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sum = MAX(sum, out_activation_min);
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sum = MIN(sum, out_activation_max);
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*output++ = (int16_t)sum;
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/* Decrement loop counter */
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loop_count--;
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}
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return (ARM_MATH_SUCCESS);
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}
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/**
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* @} end of BasicMath group
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*/
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