LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
execution_context.hpp
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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,
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23 // implied. See the License for the specific language governing
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26 
27 #ifndef LBANN_EXECUTION_ALGORITHMS_EXECUTION_CONTEXT_HPP_INCLUDED
28 #define LBANN_EXECUTION_ALGORITHMS_EXECUTION_CONTEXT_HPP_INCLUDED
29 
30 #include "lbann/base.hpp"
31 
32 #include <memory>
33 #include <string>
34 
35 // Forward declaration
36 namespace cereal {
37 class access;
38 }
39 
40 namespace lbann {
41 
42 // Forward-declare this.
43 class persist;
44 class trainer;
45 class TrainingAlgorithm;
46 
48 {
49 public:
52 
54  virtual ~ExecutionContext() = default;
55 
57  virtual std::unique_ptr<ExecutionContext> get_new() const = 0;
58 
63  virtual std::string get_type() const = 0;
64 
66  virtual std::string get_state_string() const noexcept = 0;
67 
68  virtual execution_mode get_execution_mode() const noexcept
69  {
70  return execution_mode::invalid;
71  }
72 
77  size_t get_step() const noexcept { return m_step; }
78 
83  void inc_step() noexcept { ++m_step; }
84 
86 
89  template <class Archive>
90  void serialize(Archive& ar);
91 
93  virtual void save_to_checkpoint_shared(persist& p) = 0;
95  virtual void load_from_checkpoint_shared(persist& p) = 0;
97  virtual void save_to_checkpoint_distributed(persist& p) = 0;
99  virtual void load_from_checkpoint_distributed(persist& p) = 0;
101 
102 protected:
103  friend class cereal::access;
105  ExecutionContext(const ExecutionContext& other) = delete;
107  ExecutionContext& operator=(const ExecutionContext& other) = delete;
109  ExecutionContext(ExecutionContext&& other) = default;
111  ExecutionContext& operator=(ExecutionContext&& other) = default;
112 
113 private:
118  size_t m_step = 0UL;
119 };
120 
128 {
129 public:
130  TerminationCriteria() = default;
131  virtual ~TerminationCriteria() = default;
132  virtual bool operator()(ExecutionContext const& c) const = 0;
133 };
134 
135 } // namespace lbann
136 
137 #endif // LBANN_EXECUTION_ALGORITHMS_EXECUTION_CONTEXT_HPP_INCLUDED
virtual execution_mode get_execution_mode() const noexcept
void inc_step() noexcept
Increment the current step in the training algorithm.
void serialize(std::ostream &os, google::protobuf::Message const &msg)
Serialize the protobuf message to a stream.
Specifies when to stop a training algorithm.
execution_mode
Neural network execution mode.
Definition: base.hpp:229
size_t get_step() const noexcept
Current step in the training algorithm.