402 lines
14 KiB
C
402 lines
14 KiB
C
/*
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* Copyright (C) 2010-2021 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_avgpool_s8.c
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* Description: Pooling function implementations
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*
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* $Date: 01. March 2021
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* $Revision: V.2.0.4
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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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#if defined(ARM_MATH_DSP) && !defined(ARM_MATH_MVEI)
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static void scale_q31_to_q7_and_clamp(const q31_t *buffer,
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q7_t *target,
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int32_t length,
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const int32_t count,
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const int act_min,
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const int act_max)
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{
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const int half_count = count / 2;
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// Prevent static code issue DIVIDE_BY_ZERO.
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if (count == 0)
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{
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return;
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}
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for (int i = 0; i < length; i++)
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{
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int32_t sum = buffer[i] > 0 ? (buffer[i] + half_count) : (buffer[i] - half_count);
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sum = sum / count;
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sum = MAX(sum, act_min);
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sum = MIN(sum, act_max);
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target[i] = (q7_t)sum;
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}
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}
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#endif
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/**
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* @ingroup groupNN
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*/
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/**
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* @addtogroup Pooling
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* @{
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*/
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/*
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* s8 average pooling function
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*
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* Refer to header file for details.
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*
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*/
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#if defined(ARM_MATH_MVEI)
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arm_status arm_avgpool_s8(const cmsis_nn_context *ctx,
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const cmsis_nn_pool_params *pool_params,
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const cmsis_nn_dims *input_dims,
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const q7_t *src,
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const cmsis_nn_dims *filter_dims,
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const cmsis_nn_dims *output_dims,
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q7_t *dst)
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{
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(void)ctx;
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const int32_t input_y = input_dims->h;
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const int32_t input_x = input_dims->w;
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const int32_t output_y = output_dims->h;
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const int32_t output_x = output_dims->w;
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const int32_t stride_y = pool_params->stride.h;
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const int32_t stride_x = pool_params->stride.w;
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const int32_t kernel_y = filter_dims->h;
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const int32_t kernel_x = filter_dims->w;
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const int32_t pad_y = pool_params->padding.h;
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const int32_t pad_x = pool_params->padding.w;
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const int32_t act_min = pool_params->activation.min;
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const int32_t act_max = pool_params->activation.max;
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const int32_t ch_src = input_dims->c;
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int32_t i_x, i_y;
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int32_t k_x, k_y;
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for (i_y = 0; i_y < output_y; i_y++)
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{
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for (i_x = 0; i_x < output_x; i_x++)
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{
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int32_t k_y_start, k_y_end;
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int32_t k_x_start, k_x_end;
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int32_t chCnt;
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const int8_t *pTmp, *pTmpInner;
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int8_t *pDst;
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k_y_start = MAX(0, i_y * stride_y - pad_y);
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k_y_end = MIN(i_y * stride_y - pad_y + kernel_y, input_y);
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k_x_start = MAX(0, i_x * stride_x - pad_x);
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k_x_end = MIN(i_x * stride_x - pad_x + kernel_x, input_x);
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pTmp = src;
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pDst = &dst[ch_src * (i_x + i_y * output_x)];
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chCnt = ch_src >> 4;
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while (chCnt > 0)
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{
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int32x4_t sumV1, sumV2, sumV3, sumV4;
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int8x16_t tempV;
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int16x8_t tempVLO, tempVHI;
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int32x4_t tempVLOLO, tempVLOHI, tempVHILO, tempVHIHI;
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int32_t count = 0;
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sumV1 = vdupq_n_s32(0);
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sumV2 = vdupq_n_s32(0);
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sumV3 = vdupq_n_s32(0);
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sumV4 = vdupq_n_s32(0);
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for (k_y = k_y_start; k_y < k_y_end; k_y++)
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{
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for (k_x = k_x_start; k_x < k_x_end; k_x++)
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{
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pTmpInner = pTmp + (ch_src * (k_x + k_y * input_x));
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tempV = vldrbq_s8(pTmpInner);
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tempVLO = vmovlbq_s8(tempV);
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tempVHI = vmovltq_s8(tempV);
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tempVLOLO = vmovlbq_s16(tempVLO);
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tempVLOHI = vmovltq_s16(tempVLO);
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tempVHILO = vmovlbq_s16(tempVHI);
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tempVHIHI = vmovltq_s16(tempVHI);
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sumV1 = vaddq_s32(sumV1, tempVLOLO);
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sumV2 = vaddq_s32(sumV2, tempVLOHI);
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sumV3 = vaddq_s32(sumV3, tempVHILO);
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sumV4 = vaddq_s32(sumV4, tempVHIHI);
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count++;
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}
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}
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// Prevent static code issue DIVIDE_BY_ZERO.
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if (count == 0)
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{
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return ARM_MATH_ARGUMENT_ERROR;
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}
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sumV1[0] = sumV1[0] > 0 ? (sumV1[0] + count / 2) / count : (sumV1[0] - count / 2) / count;
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sumV1[1] = sumV1[1] > 0 ? (sumV1[1] + count / 2) / count : (sumV1[1] - count / 2) / count;
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sumV1[2] = sumV1[2] > 0 ? (sumV1[2] + count / 2) / count : (sumV1[2] - count / 2) / count;
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sumV1[3] = sumV1[3] > 0 ? (sumV1[3] + count / 2) / count : (sumV1[3] - count / 2) / count;
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sumV2[0] = sumV2[0] > 0 ? (sumV2[0] + count / 2) / count : (sumV2[0] - count / 2) / count;
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sumV2[1] = sumV2[1] > 0 ? (sumV2[1] + count / 2) / count : (sumV2[1] - count / 2) / count;
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sumV2[2] = sumV2[2] > 0 ? (sumV2[2] + count / 2) / count : (sumV2[2] - count / 2) / count;
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sumV2[3] = sumV2[3] > 0 ? (sumV2[3] + count / 2) / count : (sumV2[3] - count / 2) / count;
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sumV3[0] = sumV3[0] > 0 ? (sumV3[0] + count / 2) / count : (sumV3[0] - count / 2) / count;
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sumV3[1] = sumV3[1] > 0 ? (sumV3[1] + count / 2) / count : (sumV3[1] - count / 2) / count;
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sumV3[2] = sumV3[2] > 0 ? (sumV3[2] + count / 2) / count : (sumV3[2] - count / 2) / count;
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sumV3[3] = sumV3[3] > 0 ? (sumV3[3] + count / 2) / count : (sumV3[3] - count / 2) / count;
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sumV4[0] = sumV4[0] > 0 ? (sumV4[0] + count / 2) / count : (sumV4[0] - count / 2) / count;
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sumV4[1] = sumV4[1] > 0 ? (sumV4[1] + count / 2) / count : (sumV4[1] - count / 2) / count;
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sumV4[2] = sumV4[2] > 0 ? (sumV4[2] + count / 2) / count : (sumV4[2] - count / 2) / count;
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sumV4[3] = sumV4[3] > 0 ? (sumV4[3] + count / 2) / count : (sumV4[3] - count / 2) / count;
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sumV1 = vmaxq_s32(sumV1, vdupq_n_s32(act_min));
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sumV1 = vminq_s32(sumV1, vdupq_n_s32(act_max));
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sumV2 = vmaxq_s32(sumV2, vdupq_n_s32(act_min));
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sumV2 = vminq_s32(sumV2, vdupq_n_s32(act_max));
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sumV3 = vmaxq_s32(sumV3, vdupq_n_s32(act_min));
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sumV3 = vminq_s32(sumV3, vdupq_n_s32(act_max));
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sumV4 = vmaxq_s32(sumV4, vdupq_n_s32(act_min));
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sumV4 = vminq_s32(sumV4, vdupq_n_s32(act_max));
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tempVLO = vmovnbq_s32(tempVLO, sumV1);
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tempVLO = vmovntq_s32(tempVLO, sumV2);
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tempVHI = vmovnbq_s32(tempVHI, sumV3);
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tempVHI = vmovntq_s32(tempVHI, sumV4);
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tempV = vmovnbq_s16(tempV, tempVLO);
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tempV = vmovntq_s16(tempV, tempVHI);
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vstrbq_s8(pDst, tempV);
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pDst += 16;
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chCnt--;
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pTmp += 16;
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}
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chCnt = ch_src & 0xF;
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while (chCnt > 0)
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{
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int32_t sum = 0;
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int32_t count = 0;
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for (k_y = k_y_start; k_y < k_y_end; k_y++)
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{
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for (k_x = k_x_start; k_x < k_x_end; k_x++)
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{
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sum += pTmp[ch_src * (k_x + k_y * input_x)];
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count++;
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}
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}
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// Prevent static code issue DIVIDE_BY_ZERO.
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if (count == 0)
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{
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return ARM_MATH_ARGUMENT_ERROR;
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}
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sum = sum > 0 ? (sum + count / 2) / count : (sum - count / 2) / count;
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sum = MAX(sum, act_min);
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sum = MIN(sum, act_max);
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*pDst++ = sum;
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chCnt--;
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pTmp++;
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}
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}
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}
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return ARM_MATH_SUCCESS;
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}
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#else
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arm_status arm_avgpool_s8(const cmsis_nn_context *ctx,
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const cmsis_nn_pool_params *pool_params,
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const cmsis_nn_dims *input_dims,
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const q7_t *src,
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const cmsis_nn_dims *filter_dims,
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const cmsis_nn_dims *output_dims,
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q7_t *dst)
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{
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const int32_t input_y = input_dims->h;
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const int32_t input_x = input_dims->w;
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const int32_t output_y = output_dims->h;
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const int32_t output_x = output_dims->w;
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const int32_t stride_y = pool_params->stride.h;
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const int32_t stride_x = pool_params->stride.w;
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const int32_t kernel_y = filter_dims->h;
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const int32_t kernel_x = filter_dims->w;
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const int32_t pad_y = pool_params->padding.h;
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const int32_t pad_x = pool_params->padding.w;
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const int32_t act_min = pool_params->activation.min;
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const int32_t act_max = pool_params->activation.max;
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const int32_t ch_src = input_dims->c;
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if (ctx->buf == NULL && arm_avgpool_s8_get_buffer_size(output_dims->w, input_dims->c))
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{
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return ARM_MATH_ARGUMENT_ERROR;
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}
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q31_t *buffer = (q31_t *)ctx->buf;
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#if defined(ARM_MATH_DSP)
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/* Run the following code for CPU's with DSP extension
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*/
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for (int i_y = 0, idx_y = -pad_y; i_y < output_y; idx_y += stride_y, i_y++)
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{
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for (int i_x = 0, idx_x = -pad_x; i_x < output_x; idx_x += stride_x, i_x++)
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{
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/* Condition for kernel start dimension:
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(base_idx_<x,y> + kernel_<x,y>_start) >= 0 */
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const int32_t kernel_y_start = MAX(0, -idx_y);
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const int32_t kernel_x_start = MAX(0, -idx_x);
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/* Condition for kernel end dimension:
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(base_idx_<x,y> + kernel_<x,y>_end) < dim_src_<width,height> */
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const int32_t kernel_y_end = MIN(kernel_y, input_y - idx_y);
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const int32_t kernel_x_end = MIN(kernel_x, input_x - idx_x);
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int count = 0;
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for (int k_y = kernel_y_start; k_y < kernel_y_end; k_y++)
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{
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for (int k_x = kernel_x_start; k_x < kernel_x_end; k_x++)
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{
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const q7_t *start = src + ch_src * (k_x + idx_x + (k_y + idx_y) * input_x);
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if (count == 0)
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{
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for (int i = 0; i < ch_src; i++)
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{
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buffer[i] = start[i];
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}
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}
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else
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{
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for (int i = 0; i < ch_src; i++)
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{
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buffer[i] = __QADD(start[i], buffer[i]);
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}
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}
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count++;
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}
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}
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// Prevent static code issue DIVIDE_BY_ZERO.
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if (count == 0)
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{
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return ARM_MATH_ARGUMENT_ERROR;
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}
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scale_q31_to_q7_and_clamp(buffer, dst, ch_src, count, act_min, act_max);
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dst += ch_src;
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}
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}
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#else
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/* Reference C code adapted from CMSIS-NN arm_avepool_q7_HWC.
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*/
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(void)buffer;
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int16_t i_ch_in, i_x, i_y;
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int16_t k_x, k_y;
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for (i_y = 0; i_y < output_y; i_y++)
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{
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for (i_x = 0; i_x < output_x; i_x++)
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{
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for (i_ch_in = 0; i_ch_in < ch_src; i_ch_in++)
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{
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int sum = 0;
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int count = 0;
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for (k_y = i_y * stride_y - pad_y; k_y < i_y * stride_y - pad_y + kernel_y; k_y++)
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{
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for (k_x = i_x * stride_x - pad_x; k_x < i_x * stride_x - pad_x + kernel_x; k_x++)
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{
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if (k_y >= 0 && k_x >= 0 && k_y < input_y && k_x < input_x)
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{
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sum += src[i_ch_in + ch_src * (k_x + k_y * input_x)];
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count++;
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}
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}
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}
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// Prevent static code issue DIVIDE_BY_ZERO.
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if (count == 0)
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{
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return ARM_MATH_ARGUMENT_ERROR;
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}
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sum = sum > 0 ? (sum + count / 2) / count : (sum - count / 2) / count;
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sum = MAX(sum, act_min);
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sum = MIN(sum, act_max);
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dst[i_ch_in + ch_src * (i_x + i_y * output_x)] = sum;
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}
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}
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}
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#endif
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return ARM_MATH_SUCCESS;
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}
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#endif /* ARM_MATH_MVEI */
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int32_t arm_avgpool_s8_get_buffer_size(const int output_x, const int ch_src)
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{
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(void)output_x;
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#if defined(ARM_MATH_DSP) && !defined(ARM_MATH_MVEI)
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return (ch_src * sizeof(int32_t));
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#else
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(void)ch_src;
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return 0;
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#endif
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}
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/**
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* @} end of Pooling group
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*/
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