LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
dump_gradients.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 // dump_gradients .hpp .cpp - Callbacks to dump gradients
28 
29 #ifndef LBANN_CALLBACKS_CALLBACK_DUMP_GRADIENTS_HPP_INCLUDED
30 #define LBANN_CALLBACKS_CALLBACK_DUMP_GRADIENTS_HPP_INCLUDED
31 
32 #include <utility>
33 
35 
36 namespace lbann {
37 namespace callback {
38 
49 {
50 public:
52 
57  dump_gradients(std::string basename, int batch_interval = 1)
58  : callback_base(batch_interval), m_basename(std::move(basename))
59  {}
60  dump_gradients(const dump_gradients&) = default;
61  dump_gradients& operator=(const dump_gradients&) = default;
62  dump_gradients* copy() const override { return new dump_gradients(*this); }
63  void on_backward_prop_end(model* m) override;
64  std::string name() const override { return "dump gradients"; }
65 
67 
70  template <class Archive>
71  void serialize(Archive& ar);
72 
74 
75 private:
77  void write_specific_proto(lbann_data::Callback& proto) const final;
78 
79  friend class cereal::access;
81 
83  std::string m_basename;
84 };
85 
86 // Builder function
87 std::unique_ptr<callback_base>
88 build_dump_gradients_callback_from_pbuf(const google::protobuf::Message&,
89  std::shared_ptr<lbann_summary> const&);
90 
91 } // namespace callback
92 } // namespace lbann
93 
94 #endif // LBANN_CALLBACKS_CALLBACK_DUMP_GRADIENTS_HPP_INCLUDED
void write_specific_proto(lbann_data::Callback &proto) const final
dump_gradients * copy() const override
void on_backward_prop_end(model *m) override
Called when a model ends backward propagation.
Dump gradient matrices to files.
dump_gradients(std::string basename, int batch_interval=1)
void serialize(Archive &ar)
Store state to archive for checkpoint and restart.
Base class for callbacks during training/testing.
Definition: callback.hpp:76
Abstract base class for neural network models.
Definition: model.hpp:83
dump_gradients & operator=(const dump_gradients &)=default
virtual void on_backward_prop_end(model *m)
Called when a model ends backward propagation.
Definition: callback.hpp:152
std::string m_basename
Basename for writing files.
std::unique_ptr< callback_base > build_dump_gradients_callback_from_pbuf(const google::protobuf::Message &, std::shared_ptr< lbann_summary > const &)
std::string name() const override
Return this callback&#39;s name.