LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
sync_layers.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.
25 //
26 // callback_sync_layers.hpp - Callback to synchronize layers
28 
29 #ifndef LBANN_CALLBACKS_CALLBACK_SYNC_LAYERS_HPP_INCLUDED
30 #define LBANN_CALLBACKS_CALLBACK_SYNC_LAYERS_HPP_INCLUDED
31 
33 
34 namespace lbann {
35 namespace callback {
36 
42 class sync_layers : public callback_base
43 {
44 public:
51  sync_layers(bool sync_gpus = true,
52  bool sync_mpi = true,
53  bool only_input = false)
54  : callback_base(1),
55  m_sync_gpus(sync_gpus),
56  m_sync_mpi(sync_mpi),
57  m_only_input(only_input)
58  {}
59  sync_layers(const sync_layers&) = default;
60  sync_layers& operator=(const sync_layers&) = default;
61  sync_layers* copy() const override { return new sync_layers(*this); }
62  std::string name() const override { return "sync_layers"; }
63 
66 
67  void on_forward_prop_end(model* m, Layer* l) override;
68  void on_backward_prop_end(model* m, Layer* l) override;
69 
71 
74  template <class Archive>
75  void serialize(Archive& ar);
76 
78 
79 protected:
81  void write_specific_proto(lbann_data::Callback& proto) const final;
82 
86  bool m_sync_mpi;
89 
90  virtual void do_sync(Layer* l);
91 };
92 
93 // Builder function
94 std::unique_ptr<callback_base>
95 build_sync_layers_callback_from_pbuf(const google::protobuf::Message&,
96  std::shared_ptr<lbann_summary> const&);
97 
98 } // namespace callback
99 } // namespace lbann
100 
101 #endif // LBANN_CALLBACKS_CALLBACK_SYNC_LAYERS_HPP_INCLUDED
Neural network tensor operation.
Definition: layer.hpp:285
void write_specific_proto(lbann_data::Callback &proto) const final
std::string name() const override
Return this callback&#39;s name.
Definition: sync_layers.hpp:62
Base class for callbacks during training/testing.
Definition: callback.hpp:76
Abstract base class for neural network models.
Definition: model.hpp:83
virtual void do_sync(Layer *l)
virtual void on_forward_prop_end(model *m)
Called when a model ends forward propagation.
Definition: callback.hpp:144
std::unique_ptr< callback_base > build_sync_layers_callback_from_pbuf(const google::protobuf::Message &, std::shared_ptr< lbann_summary > const &)
void on_forward_prop_end(model *m, Layer *l) override
Called when a layer ends forward propagation.
void on_backward_prop_end(model *m, Layer *l) override
Called when a layer ends backward propagation.
virtual void on_backward_prop_end(model *m)
Called when a model ends backward propagation.
Definition: callback.hpp:152
void serialize(Archive &ar)
Store state to archive for checkpoint and restart.
sync_layers * copy() const override
Definition: sync_layers.hpp:61
sync_layers(bool sync_gpus=true, bool sync_mpi=true, bool only_input=false)
Definition: sync_layers.hpp:51
sync_layers & operator=(const sync_layers &)=default