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88 lines (75 loc) · 3.43 KB
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/*
This file is part of Leela Zero.
Copyright (C) 2017-2019 Gian-Carlo Pascutto and contributors
Leela Zero is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Leela Zero is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with Leela Zero. If not, see <http://www.gnu.org/licenses/>.
Additional permission under GNU GPL version 3 section 7
If you modify this Program, or any covered work, by linking or
combining it with NVIDIA Corporation's libraries from the
NVIDIA CUDA Toolkit and/or the NVIDIA CUDA Deep Neural
Network library and/or the NVIDIA TensorRT inference library
(or a modified version of those libraries), containing parts covered
by the terms of the respective license agreement, the licensors of
this Program grant you additional permission to convey the resulting
work.
*/
#ifndef IM2COL_H_INCLUDED
#define IM2COL_H_INCLUDED
#include <cassert>
#include <vector>
#include <algorithm>
template <unsigned long filter_size>
void im2col(const int channels,
const std::vector<float>& input,
std::vector<float>& output) {
constexpr unsigned int height = BOARD_SIZE;
constexpr unsigned int width = BOARD_SIZE;
constexpr int pad = (filter_size / 2);
constexpr unsigned int output_h = height + 2 * pad - filter_size + 1;
constexpr unsigned int output_w = width + 2 * pad - filter_size + 1;
const float* data_im = input.data();
float* data_col = output.data();
for (int channel = channels; channel--; data_im += NUM_INTERSECTIONS) {
for (unsigned int kernel_row = 0; kernel_row < filter_size; kernel_row++) {
for (unsigned int kernel_col = 0; kernel_col < filter_size; kernel_col++) {
int input_row = -pad + kernel_row;
for (int output_rows = output_h; output_rows; output_rows--) {
if (unsigned(input_row) < height) {
int input_col = -pad + kernel_col;
for (int output_col = output_w; output_col; output_col--) {
if (unsigned(input_col) < width) {
*(data_col++) =
data_im[input_row * width + input_col];
} else {
*(data_col++) = 0;
}
input_col++;
}
} else {
for (int output_cols = output_w; output_cols; output_cols--) {
*(data_col++) = 0;
}
}
input_row++;
}
}
}
}
}
template <>
void im2col<1>(const int channels,
const std::vector<float>& input,
std::vector<float>& output) {
auto outSize = size_t{channels * static_cast<size_t>(NUM_INTERSECTIONS)};
assert(output.size() == outSize);
std::copy(begin(input), begin(input) + outSize, begin(output));
}
#endif