-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathIm2Col.h
61 lines (52 loc) · 2.16 KB
/
Im2Col.h
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
#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 += BOARD_SQUARES) {
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>(BOARD_SQUARES)};
assert(output.size() == outSize);
std::copy(begin(input), begin(input) + outSize, begin(output));
}
#endif