LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
normalize.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
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26 
27 #ifndef LBANN_TRANSFORMS_NORMALIZE_HPP_INCLUDED
28 #define LBANN_TRANSFORMS_NORMALIZE_HPP_INCLUDED
29 
32 
33 #include <google/protobuf/message.h>
34 
35 #include <vector>
36 
37 namespace lbann {
38 namespace transform {
39 
46 class normalize : public transform
47 {
48 public:
50  normalize(std::vector<float> means, std::vector<float> stds)
51  : transform(), m_means(means), m_stds(stds)
52  {
53  if (m_means.size() != m_stds.size()) {
54  LBANN_ERROR("Normalize mean and std have different numbers of channels.");
55  }
56  }
57 
58  transform* copy() const override { return new normalize(*this); }
59 
60  std::string get_type() const override { return "normalize"; }
61 
62  bool supports_non_inplace() const override { return true; }
63 
65  std::vector<size_t>& dims) override;
67  CPUMat& out,
68  std::vector<size_t>& dims) override;
69 
70 private:
72  std::vector<float> m_means;
74  std::vector<float> m_stds;
75 };
76 
77 // Builder function
78 std::unique_ptr<transform>
79 build_normalize_transform_from_pbuf(google::protobuf::Message const&);
80 
81 } // namespace transform
82 } // namespace lbann
83 
84 #endif // LBANN_TRANSFORMS_NORMALIZED_CENTER_CROP_HPP_INCLUDED
std::vector< float > m_means
Definition: normalize.hpp:72
normalize(std::vector< float > means, std::vector< float > stds)
Definition: normalize.hpp:50
#define LBANN_ERROR(...)
Definition: exception.hpp:37
T & data(const cnpy::NpyArray &na, const std::vector< size_t > indices)
Definition: cnpy_utils.hpp:75
std::unique_ptr< transform > build_normalize_transform_from_pbuf(google::protobuf::Message const &)
bool supports_non_inplace() const override
Definition: normalize.hpp:62
transform * copy() const override
Definition: normalize.hpp:58
El::Matrix< DataType, El::Device::CPU > CPUMat
Definition: base.hpp:116
A type-erased wrapper around an El::Matrix<T,Device::CPU>
std::string get_type() const override
Definition: normalize.hpp:60
std::vector< float > m_stds
Definition: normalize.hpp:74
void apply(utils::type_erased_matrix &data, std::vector< size_t > &dims) override