LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
termination_criteria.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>
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7 // LLNL-CODE-697807.
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11 // Toolkit. For details, see http://software.llnl.gov/LBANN or
12 // https://github.com/LLNL/LBANN.
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26 #ifndef LBANN_EXECUTION_ALGORITHMS_LTFB_TERMINATION_CRITERIA_HPP_INCLUDED
27 #define LBANN_EXECUTION_ALGORITHMS_LTFB_TERMINATION_CRITERIA_HPP_INCLUDED
28 
31 
32 namespace lbann {
33 namespace ltfb {
34 
41 {
42 public:
43  LTFBTerminationCriteria(size_t max_metalearning_steps)
44  : m_max_metalearning_steps{max_metalearning_steps}
45  {}
46  ~LTFBTerminationCriteria() = default;
47  bool operator()(ExecutionContext const& c) const final
48  {
49  return this->operator()(dynamic_cast<LTFBExecutionContext const&>(c));
50  }
52  bool operator()(LTFBExecutionContext const& exe_state) const noexcept
53  {
54  return exe_state.get_step() >= m_max_metalearning_steps;
55  }
56 
57 private:
59 }; // class TerminationCriteria
60 
61 } // namespace ltfb
62 } // namespace lbann
63 #endif // LBANN_EXECUTION_ALGORITHMS_LTFB_TERMINATION_CRITERIA_HPP_INCLUDED
bool operator()(LTFBExecutionContext const &exe_state) const noexcept
Decide if the criteria are fulfilled.
LTFBTerminationCriteria(size_t max_metalearning_steps)
Specifies when to stop a training algorithm.
bool operator()(ExecutionContext const &c) const final