LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
composite_image_transformation.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 
27 #ifndef LBANN_LAYERS_IMAGE_COMPOSITE_IMAGE_TRANSFORMATION_HPP_INCLUDED
28 #define LBANN_LAYERS_IMAGE_COMPOSITE_IMAGE_TRANSFORMATION_HPP_INCLUDED
29 
31 #include "lbann/layers/layer.hpp"
32 
33 namespace lbann {
34 
42 template <typename TensorDataType, data_layout Layout, El::Device Device>
44  : public data_type_layer<TensorDataType>
45 {
46  static_assert(
48  "composite_image_transformation_layer only supports DATA_PARALLEL");
49  static_assert(Device == El::Device::CPU,
50  "composite_image_transformation_layer only supports CPU");
51 
52 public:
54 
57  using AbsDistMatrixType = El::AbstractDistMatrix<TensorDataType>;
58 
60 
61 public:
63  : data_type_layer<TensorDataType>(comm)
64  {
66  }
67 
69  {
70  return new composite_image_transformation_layer(*this);
71  }
72 
74 
76  template <typename ArchiveT>
77  void serialize(ArchiveT& ar);
78 
80 
81  std::string get_type() const override
82  {
83  return "composite image transformation";
84  }
85  data_layout get_data_layout() const override { return Layout; }
86  El::Device get_device_allocation() const override { return Device; }
87  bool can_run_inplace() const override { return false; }
88  int get_backprop_requirements() const override { return ERROR_SIGNALS; }
89 
90  void fp_compute() override;
91 
92 protected:
94  void write_specific_proto(lbann_data::Layer& proto) const final;
95 
96  friend class cereal::access;
99  {}
100 
101  void setup_dims() override;
102 };
103 
104 #ifndef LBANN_COMPOSITE_IMAGE_TRANSFORMATION_LAYER_INSTANTIATE
105 #define PROTO(T) \
106  extern template class composite_image_transformation_layer< \
107  T, \
108  data_layout::DATA_PARALLEL, \
109  El::Device::CPU>
110 
112 #undef PROTO
113 #endif // LBANN_COMPOSITE_IMAGE_TRANSFORMATION_LAYER_INSTANTIATE
114 
115 } // namespace lbann
116 
117 #endif // LBANN_LAYERS_IMAGE_COMPOSITE_IMAGE_TRANSFORMATION_HPP_INCLUDED
int get_backprop_requirements() const override
Returns the necessary tensors for computing backpropagation.
El::AbstractDistMatrix< TensorDataType > AbsDistMatrixType
The tensor type expected in this object.
std::string get_type() const override
Get the layer type&#39;s name.
data_layout get_data_layout() const override
Get data layout of the data tensors. We assume that the data layouts of the previous activations...
void setup_dims() override
Setup tensor dimensions Called by the &#39;setup&#39; function. If there are any input tensors, the base method sets all uninitialized output tensor dimensions equal to the first input tensor dimensions.
constexpr El::Device Device
El::Device get_device_allocation() const override
Get the device allocation for the data tensors. We assume that the decice allocation of the previous ...
void write_specific_proto(lbann_data::Layer &proto) const final
void fp_compute() override
Apply layer operation. Called by the &#39;forward_prop&#39; function. Given the input tensors, the output tensors are populated with computed values.
composite_image_transformation_layer * copy() const override
Copy function. This function dynamically allocates memory for a layer instance and instantiates a cop...
data_layout
Data layout that is optimized for different modes of parallelism.
Definition: base.hpp:218
bool can_run_inplace() const override
If True, the computation can run in-place (feeding each input activations tensor as the corresponding...
Rotate a image clockwise around its center, then shear , then translate.
int m_expected_num_parent_layers
Definition: layer.hpp:838