tiny_dnn 1.0.0
A header only, dependency-free deep learning framework in C++11
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serialization_helper.h
1/*
2 Copyright (c) 2016, Taiga Nomi
3 All rights reserved.
4
5 Redistribution and use in source and binary forms, with or without
6 modification, are permitted provided that the following conditions are met:
7 * Redistributions of source code must retain the above copyright
8 notice, this list of conditions and the following disclaimer.
9 * Redistributions in binary form must reproduce the above copyright
10 notice, this list of conditions and the following disclaimer in the
11 documentation and/or other materials provided with the distribution.
12 * Neither the name of the tiny-dnn nor the
13 names of its contributors may be used to endorse or promote products
14 derived from this software without specific prior written permission.
15
16 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
17 EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
18 WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
19 DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
20 DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
21 (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
22 LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
23 ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
24 (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
25 SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
26*/
27#pragma once
28#include <typeindex>
29#include <map>
30#include <functional>
31#include <memory>
32#include <string>
33#include <cereal/archives/json.hpp>
34#include <cereal/types/memory.hpp>
35#include "tiny_dnn/util/nn_error.h"
36#include "tiny_dnn/util/macro.h"
37#include "tiny_dnn/layers/layers.h"
38
39namespace tiny_dnn {
40
41template <typename OutputArchive>
43public:
44 void register_saver(const std::string& name, std::function<void(OutputArchive&, const layer*)> func) {
45 savers_[name] = [=](void* ar, const layer* l) {
46 return func(*reinterpret_cast<OutputArchive*>(ar), l);
47 };
48 }
49
50 template <typename T>
51 void register_type(const std::string& name) {
52 type_names_[typeid(T)] = name;
53 }
54
55 void save(const std::string& layer_name, OutputArchive & ar, const layer *l) {
56 check_if_enabled();
57
58 if (savers_.find(layer_name) == savers_.end()) {
59 throw nn_error("Failed to generate layer. Generator for " + layer_name + " is not found.\n"
60 "Please use CNN_REGISTER_LAYER_DESERIALIZER macro to register appropriate generator");
61 }
62
63 savers_[layer_name](reinterpret_cast<void*>(&ar), l);
64 }
65
66 const std::string& type_name(std::type_index index) const {
67 if (type_names_.find(index) == type_names_.end()) {
68 throw nn_error("Typename is not registered");
69 }
70 return type_names_.at(index);
71 }
72
73 static serialization_helper& get_instance() {
75 return instance;
76 }
77
78private:
79 void check_if_enabled() const {
80#ifdef CNN_NO_SERIALIZATION
81 static_assert(sizeof(OutputArchive)==0,
82 "You are using save functions, but serialization function is disabled in current configuration.\n\n"
83 "You need to undef CNN_NO_SERIALIZATION to enable these functions.\n"
84 "If you are using cmake, you can use -DUSE_SERIALIZER=ON option.\n\n");
85#endif
86 }
87
89 std::map<std::string, std::function<void(void*, const layer*)>> savers_;
90
91 std::map<std::type_index, std::string> type_names_;
92
93 template <typename T>
94 static void save_layer_impl(OutputArchive& oa, const layer* layer);
95
96#define CNN_REGISTER_LAYER_BODY(layer_type, layer_name) \
97 register_type<layer_type>(layer_name);\
98 register_saver(layer_name, save_layer_impl<layer_type>)
99
100#define CNN_REGISTER_LAYER(layer_type, layer_name) CNN_REGISTER_LAYER_BODY(layer_type, #layer_name)
101
102#define CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, activation_type, layer_name) \
103CNN_REGISTER_LAYER_BODY(layer_type<activation::activation_type>, #layer_name "<" #activation_type ">")
104
105#define CNN_REGISTER_LAYER_WITH_ACTIVATIONS(layer_type, layer_name) \
106CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, tan_h, layer_name); \
107CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, softmax, layer_name); \
108CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, identity, layer_name); \
109CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, sigmoid, layer_name); \
110CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, relu, layer_name); \
111CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, leaky_relu, layer_name); \
112CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, elu, layer_name); \
113CNN_REGISTER_LAYER_WITH_ACTIVATION(layer_type, tan_hp1m2, layer_name)
114
116#include "serialization_layer_list.h"
117 }
118
119#undef CNN_REGISTER_LAYER_BODY
120#undef CNN_REGISTER_LAYER
121#undef CNN_REGISTER_LAYER_WITH_ACTIVATION
122#undef CNN_REGISTER_LAYER_WITH_ACTIVATIONS
123
124}; // class serialization_helper
125
126template <typename OutputArchive>
127template <typename T>
129 oa (cereal::make_nvp(serialization_helper<OutputArchive>::get_instance().type_name(typeid(T)),
130 *dynamic_cast<const T*>(layer)));
131}
132
133template <typename OutputArchive>
134void layer::save_layer(OutputArchive & oa, const layer& l) {
135 const std::string& name = serialization_helper<OutputArchive>::get_instance().type_name(typeid(l));
136 serialization_helper<OutputArchive>::get_instance().save(name, oa, &l);
137}
138
139template <class Archive>
140void layer::serialize_prolog(Archive & ar) {
141 ar(cereal::make_nvp("type",
142 serialization_helper<Archive>::get_instance().type_name(typeid(*this))));
143}
144
145} // namespace tiny_dnn
146
Simple image utility class.
Definition image.h:94
base class of all kind of NN layers
Definition layer.h:62
error exception class for tiny-dnn
Definition nn_error.h:37
Definition serialization_helper.h:42