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
|
// Copyright 2016, Tobias Hermann.
// https://github.com/Dobiasd/frugally-deep
// Distributed under the MIT License.
// (See accompanying LICENSE file or at
// https://opensource.org/licenses/MIT)
#pragma once
#include "fdeep/convolution.hpp"
#include "fdeep/filter.hpp"
#include "fdeep/layers/layer.hpp"
#include "fdeep/shape2.hpp"
#include "fdeep/tensor_shape.hpp"
#include <fplus/fplus.hpp>
#include <cstddef>
#include <string>
#include <vector>
namespace fdeep {
namespace internal {
class conv_2d_layer : public layer {
public:
explicit conv_2d_layer(
const std::string& name, const tensor_shape& filter_shape,
std::size_t k, const shape2& strides, padding p,
const shape2& dilation_rate,
const float_vec& weights, const float_vec& bias)
: layer(name)
, filters_(generate_im2col_filter_matrix(
generate_filters(dilation_rate, filter_shape, k, weights, bias, false)))
, strides_(strides)
, padding_(p)
{
assertion(k > 0, "needs at least one filter");
assertion(filter_shape.volume() > 0, "filter must have volume");
assertion(strides.area() > 0, "invalid strides");
}
protected:
tensors apply_impl(const tensors& inputs) const override
{
const auto& input = single_tensor_from_tensors(inputs);
return { convolve(strides_, padding_, filters_, input) };
}
convolution_filter_matrices filters_;
shape2 strides_;
padding padding_;
};
}
}
|
