LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
save_topk_models.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.
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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 // save_topk_models .hpp .cpp - Callback to save top k models
28 
29 #ifndef LBANN_CALLBACKS_CALLBACK_SAVE_TOPK_MODELS_HPP_INCLUDED
30 #define LBANN_CALLBACKS_CALLBACK_SAVE_TOPK_MODELS_HPP_INCLUDED
31 
33 
34 namespace lbann {
35 namespace callback {
36 
43 {
44 public:
52  save_topk_models(std::string dir,
53  int k,
54  std::string metric_name,
55  bool ascending_ordering = false)
56  : save_model(dir, true),
57  m_k(k),
58  m_metric_name(metric_name),
59  m_ascending_ordering(ascending_ordering)
60  {}
61  save_topk_models(const save_topk_models&) = default;
62  save_topk_models& operator=(const save_topk_models&) = default;
63  save_topk_models* copy() const override
64  {
65  return new save_topk_models(*this);
66  }
67  void on_test_end(model* m) override;
68  std::string name() const override { return "save_topk_models"; }
69 
70 private:
71  // determine if a trainer's model is in top k, computation done by
72  // trainer master processes
73  bool am_in_topk(model* m);
74  int m_k;
75  std::string m_metric_name;
77 };
78 
79 // Builder function
80 std::unique_ptr<callback_base> build_save_topk_models_callback_from_pbuf(
81  const google::protobuf::Message&,
82  std::shared_ptr<lbann_summary> const&);
83 
84 } // namespace callback
85 } // namespace lbann
86 
87 #endif // LBANN_CALLBACKS_CALLBACK_SAVE_TOPK_MODELS_HPP_INCLUDED
void on_test_end(model *m) override
Called immediately after the end of testing.
std::string name() const override
Return this callback&#39;s name.
save_topk_models & operator=(const save_topk_models &)=default
save_topk_models(std::string dir, int k, std::string metric_name, bool ascending_ordering=false)
Constructor.
save_topk_models * copy() const override
Save the top K models for, e.g., inference and other analysis.
Abstract base class for neural network models.
Definition: model.hpp:83
std::unique_ptr< callback_base > build_save_topk_models_callback_from_pbuf(const google::protobuf::Message &, std::shared_ptr< lbann_summary > const &)