/*
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* Copyright (C) 2010-2018 Arm Limited or its affiliates. All rights reserved.
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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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#include "ref_functions.h"
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void arm_convolve_HWC_q15_ref(const q15_t * Im_in, // input image
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const uint16_t dim_im_in, // input image dimention
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const uint16_t ch_im_in, // number of input image channels
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const q15_t * wt, // kernel weights
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const uint16_t ch_im_out, // number of filters, i.e., output image channels
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const uint16_t dim_kernel, // filter kernel size
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const uint16_t padding, // padding sizes
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const uint16_t stride, // stride
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const q15_t * bias, // bias
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const uint16_t bias_shift, const uint16_t out_shift, q15_t * Im_out, // output image
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const uint16_t dim_im_out, // output image dimension
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q15_t * bufferA, //buffer space for input
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q7_t * bufferB //buffer space for output
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)
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{
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int i, j, k, l, m, n;
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int conv_out;
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int in_row, in_col;
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for (i = 0; i < ch_im_out; i++)
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{
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for (j = 0; j < dim_im_out; j++)
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{
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for (k = 0; k < dim_im_out; k++)
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{
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#ifndef ARM_NN_TRUNCATE
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conv_out = (bias[i] << bias_shift) + (0x1 << (out_shift - 1));
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#else
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conv_out = bias[i] << bias_shift;
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#endif
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for (m = 0; m < dim_kernel; m++)
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{
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for (n = 0; n < dim_kernel; n++)
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{
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in_row = stride * j + m - padding;
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in_col = stride * k + n - padding;
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if (in_row >= 0 && in_col >= 0 && in_row < dim_im_in && in_col < dim_im_in)
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{
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for (l = 0; l < ch_im_in; l++)
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{
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conv_out += Im_in[(in_row * dim_im_in + in_col) * ch_im_in + l] *
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wt[i * ch_im_in * dim_kernel * dim_kernel + (m * dim_kernel + n) * ch_im_in + l];
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}
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}
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}
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}
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Im_out[i + (j * dim_im_out + k) * ch_im_out] = (q15_t) __SSAT((conv_out >> out_shift), 16);
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}
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}
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}
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}
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