LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
meta_learning_strategy.hpp
Go to the documentation of this file.
1 // Copyright (c) 2014-2023, Lawrence Livermore National Security, LLC.
3 // Produced at the Lawrence Livermore National Laboratory.
4 // Written by the LBANN Research Team (B. Van Essen, et al.) listed in
5 // the CONTRIBUTORS file. <lbann-dev@llnl.gov>
6 //
7 // LLNL-CODE-697807.
8 // All rights reserved.
9 //
10 // This file is part of LBANN: Livermore Big Artificial Neural Network
11 // Toolkit. For details, see http://software.llnl.gov/LBANN or
12 // https://github.com/LLNL/LBANN.
13 //
14 // Licensed under the Apache License, Version 2.0 (the "Licensee"); you
15 // may not use this file except in compliance with the License. You may
16 // obtain a copy of the License at:
17 //
18 // http://www.apache.org/licenses/LICENSE-2.0
19 //
20 // Unless required by applicable law or agreed to in writing, software
21 // distributed under the License is distributed on an "AS IS" BASIS,
22 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
23 // implied. See the License for the specific language governing
24 // permissions and limitations under the license.
26 #ifndef LBANN_EXECUTION_ALGORITHMS_LTFB_META_LEARNING_STRATEGY_HPP_INCLUDED
27 #define LBANN_EXECUTION_ALGORITHMS_LTFB_META_LEARNING_STRATEGY_HPP_INCLUDED
28 
29 #include "execution_context.hpp"
30 
32 #include "lbann/utils/factory.hpp"
34 
35 #include <google/protobuf/message.h>
36 
37 namespace lbann {
38 // forward declarations
39 class data_coordinator;
40 class model;
41 
42 namespace ltfb {
43 
55  : public Cloneable<HasAbstractFunction<MetaLearningStrategy>>
56 {
57 public:
58  virtual ~MetaLearningStrategy() noexcept = default;
77  virtual void select_next(model& m,
79  data_coordinator& dc) const = 0;
80 }; // class MetaLearningStrategy
81 
87  std::string,
88  generate_builder_type<MetaLearningStrategy,
89  google::protobuf::Message const&>>;
90 
91 using MetaLearningStrategyKey = MetaLearningStrategyFactory::id_type;
92 using MetaLearningStrategyBuilder = MetaLearningStrategyFactory::builder_type;
93 
96 
98 
99 } // namespace ltfb
100 
101 template <>
102 std::unique_ptr<ltfb::MetaLearningStrategy>
103 make_abstract<ltfb::MetaLearningStrategy>(const google::protobuf::Message& msg);
104 
105 } // namespace lbann
106 #endif // LBANN_EXECUTION_ALGORITHMS_LTFB_META_LEARNING_STRATEGY_HPP_INCLUDED
virtual ~MetaLearningStrategy() noexcept=default
Inject polymorphic clone functions into hierarchies.
Definition: cloneable.hpp:94
MetaLearningStrategyFactory::builder_type MetaLearningStrategyBuilder
generic_factory< MetaLearningStrategy, std::string, generate_builder_type< MetaLearningStrategy, google::protobuf::Message const & > > MetaLearningStrategyFactory
A factory for constructing MetaLearningStrategy objects from Protobuf messages.
Base class describing a family of meta-learning methods.
h2::factory::ObjectFactory< BaseT, KeyT, BuilderT, KeyErrorPolicy > generic_factory
Generic factory template.
Abstract base class for neural network models.
Definition: model.hpp:83
MetaLearningStrategyFactory::id_type MetaLearningStrategyKey
void register_new_metalearning_strategy(MetaLearningStrategyKey key, MetaLearningStrategyBuilder builder)
void unregister_metalearning_strategy(MetaLearningStrategyKey const &key)
typename GenerateBuilderType_struct< OutT, Args... >::type generate_builder_type
A helper typedef for wrapping builder signatures.
virtual void select_next(model &m, ltfb::LTFBExecutionContext &ctxt, data_coordinator &dc) const =0
Pick the next model according to this metaheuristic.