129 lines
4.1 KiB
C
129 lines
4.1 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_avgpool_s16.c
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* Description: Pooling function implementations
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*
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* $Date: 3. February 2022
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* $Revision: V.1.0.1
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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 Pooling
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* @{
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*/
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/*
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* s16 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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arm_status arm_avgpool_s16(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 q15_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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q15_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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/* Reference C code adapted from CMSIS-NN arm_avgpool_s8.c.
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*/
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for (int i_y = 0, base_idx_y = -pad_y; i_y < output_y; base_idx_y += stride_y, i_y++)
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{
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for (int i_x = 0, base_idx_x = -pad_x; i_x < output_x; base_idx_x += stride_x, i_x++)
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{
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/* Condition for kernel start dimension: (base_idx_<x,y> + kernel_<x,y>_start) >= 0 */
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const int32_t ker_y_start = MAX(0, -base_idx_y);
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const int32_t ker_x_start = MAX(0, -base_idx_x);
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/* Condition for kernel end dimension: (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 - base_idx_y);
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const int32_t kernel_x_end = MIN(kernel_x, input_x - base_idx_x);
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for (int 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 (int k_y = ker_y_start; k_y < kernel_y_end; k_y++)
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{
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for (int k_x = ker_x_start; k_x < kernel_x_end; k_x++)
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{
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sum += src[i_ch_in + ch_src * (k_x + base_idx_x + (k_y + base_idx_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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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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return ARM_MATH_SUCCESS;
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}
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int32_t arm_avgpool_s16_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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(void)ch_src;
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return 0;
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}
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/**
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* @} end of Pooling group
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*/
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