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#if EI_CLASSIFIER_TFLITE_LOAD_CMSIS_NN_SOURCES
/*
* Copyright (C) 2010-2022 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_s8
* Description: Elementwise add
*
* $Date: 19 April 2022
* $Revision: V.3.0.0
*
* Target Processor: Cortex-M CPUs
*
* -------------------------------------------------------------------- */
#include "edge-impulse-sdk/CMSIS/NN/Include/arm_nnfunctions.h"
#include "edge-impulse-sdk/CMSIS/NN/Include/arm_nnsupportfunctions.h"
/**
* @ingroup groupNN
*/
/**
* @addtogroup BasicMath
* @{
*/
/*
* s8 elementwise add
*
* Refer header file for details.
*
*/
/* Note: __SHIFT is expected to be <=0 */
arm_cmsis_nn_status arm_elementwise_add_s8(const int8_t *input_1_vect,
const int8_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,
int8_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)
{
#if defined(ARM_MATH_MVEI)
int32_t count = block_size;
while (count > 0)
{
int32x4_t vect_1;
int32x4_t vect_2;
mve_pred16_t p = vctp32q((uint32_t)count);
vect_1 = vldrbq_z_s32(input_1_vect, p);
vect_2 = vldrbq_z_s32(input_2_vect, p);
vect_1 = vaddq_s32(vect_1, vdupq_n_s32(input_1_offset));
vect_2 = vaddq_s32(vect_2, vdupq_n_s32(input_2_offset));
vect_1 = vshlq_r_s32(vect_1, left_shift);
vect_2 = vshlq_r_s32(vect_2, left_shift);
vect_1 = arm_requantize_mve(vect_1, input_1_mult, input_1_shift);
vect_2 = arm_requantize_mve(vect_2, input_2_mult, input_2_shift);
vect_1 = vaddq_s32(vect_1, vect_2);
vect_1 = arm_requantize_mve(vect_1, out_mult, out_shift);
vect_1 = vaddq_n_s32(vect_1, out_offset);
vect_1 = vmaxq_s32(vect_1, vdupq_n_s32(out_activation_min));
vect_1 = vminq_s32(vect_1, vdupq_n_s32(out_activation_max));
input_1_vect += 4;
input_2_vect += 4;
vstrbq_p_s32(output, vect_1, p);
output += 4;
count -= 4;
}
#else
int32_t loop_count;
int32_t input_1;
int32_t input_2;
int32_t sum;
#if defined(ARM_MATH_DSP)
int32_t a_1, b_1, a_2, b_2;
int32_t offset_1_packed, offset_2_packed;
int8_t r1, r2, r3, r4;
offset_1_packed = (input_1_offset << 16U) | (input_1_offset & 0x0FFFFL);
offset_2_packed = (input_2_offset << 16U) | (input_2_offset & 0x0FFFFL);
loop_count = block_size >> 2;
while (loop_count > 0)
{
/* 4 outputs are calculated in one loop. The order of calculation is follows the order of output sign extension
intrinsic */
input_1_vect = read_and_pad_reordered(input_1_vect, &b_1, &a_1);
input_2_vect = read_and_pad_reordered(input_2_vect, &b_2, &a_2);
a_1 = __SADD16(a_1, offset_1_packed);
b_1 = __SADD16(b_1, offset_1_packed);
a_2 = __SADD16(a_2, offset_2_packed);
b_2 = __SADD16(b_2, offset_2_packed);
/* Sum 1 */
input_1 = (b_1 & 0x0FFFF) << left_shift;
input_1 = arm_nn_requantize(input_1, input_1_mult, input_1_shift);
input_2 = (b_2 & 0x0FFFF) << left_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 += out_offset;
sum = MAX(sum, out_activation_min);
sum = MIN(sum, out_activation_max);
r1 = (q7_t)sum;
/* Sum 3 */
input_1 = ((b_1 >> 16) & 0x0FFFF) << left_shift;
input_1 = arm_nn_requantize(input_1, input_1_mult, input_1_shift);
input_2 = ((b_2 >> 16) & 0x0FFFF) << left_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 += out_offset;
sum = MAX(sum, out_activation_min);
sum = MIN(sum, out_activation_max);
r3 = (q7_t)sum;
/* Sum 2 */
input_1 = (a_1 & 0x0FFFF) << left_shift;
input_1 = arm_nn_requantize(input_1, input_1_mult, input_1_shift);
input_2 = (a_2 & 0x0FFFF) << left_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 += out_offset;
sum = MAX(sum, out_activation_min);
sum = MIN(sum, out_activation_max);
r2 = (q7_t)sum;
/* Sum 4 */
input_1 = ((a_1 >> 16) & 0x0FFFF) << left_shift;
input_1 = arm_nn_requantize(input_1, input_1_mult, input_1_shift);
input_2 = ((a_2 >> 16) & 0x0FFFF) << left_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 += out_offset;
sum = MAX(sum, out_activation_min);
sum = MIN(sum, out_activation_max);
r4 = (q7_t)sum;
arm_nn_write_q7x4_ia(&output, PACK_Q7x4_32x1(r1, r2, r3, r4));
loop_count--;
}
loop_count = block_size & 0x3;
#else
loop_count = block_size;
#endif
while (loop_count > 0)
{
/* C = A + B */
input_1 = (*input_1_vect++ + input_1_offset) << left_shift;
input_2 = (*input_2_vect++ + input_2_offset) << 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 += out_offset;
sum = MAX(sum, out_activation_min);
sum = MIN(sum, out_activation_max);
*output++ = (q7_t)sum;
/* Decrement loop counter */
loop_count--;
}
#endif /* ARM_MATH_MVEI */
return (ARM_CMSIS_NN_SUCCESS);
}
/**
* @} end of BasicMath group
*/
#endif // EI_CLASSIFIER_TFLITE_LOAD_CMSIS_NN_SOURCES
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