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