C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

spatial_average_pooling2d_layer_backward_types.h
1 /* file: spatial_average_pooling2d_layer_backward_types.h */
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15 
16 /*
17 //++
18 // Implementation of backward spatial pyramid average 2D pooling layer.
19 //--
20 */
21 
22 #ifndef __SPATIAL_AVERAGE_POOLING2D_LAYER_BACKWARD_TYPES_H__
23 #define __SPATIAL_AVERAGE_POOLING2D_LAYER_BACKWARD_TYPES_H__
24 
25 #include "algorithms/algorithm.h"
26 #include "data_management/data/tensor.h"
27 #include "data_management/data/numeric_table.h"
28 #include "services/daal_defines.h"
29 #include "algorithms/neural_networks/layers/layer_backward_types.h"
30 #include "algorithms/neural_networks/layers/spatial_pooling2d/spatial_pooling2d_layer_backward_types.h"
31 #include "algorithms/neural_networks/layers/spatial_pooling2d/spatial_average_pooling2d_layer_types.h"
32 
33 namespace daal
34 {
35 namespace algorithms
36 {
37 namespace neural_networks
38 {
39 namespace layers
40 {
41 namespace spatial_average_pooling2d
42 {
52 namespace backward
53 {
54 
58 namespace interface1
59 {
60 
65 class DAAL_EXPORT Input : public spatial_pooling2d::backward::Input
66 {
67 public:
68  typedef spatial_pooling2d::backward::Input super;
72  Input();
73 
75  Input(const Input& other);
76 
77  virtual ~Input() {}
78 
79  using layers::backward::Input::get;
80  using layers::backward::Input::set;
81 
87  data_management::NumericTablePtr get(LayerDataId id) const;
88 
94  void set(LayerDataId id, const data_management::NumericTablePtr &ptr);
95 
103  services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
104 
105 protected:
106  virtual data_management::NumericTablePtr getAuxInputDimensions() const DAAL_C11_OVERRIDE;
107 };
108 
114 class DAAL_EXPORT Result : public spatial_pooling2d::backward::Result
115 {
116 public:
117  DECLARE_SERIALIZABLE_CAST(Result);
121  Result();
122  virtual ~Result() {}
123 
124  using layers::backward::Result::get;
125  using layers::backward::Result::set;
126 
135  template <typename algorithmFPType>
136  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
137 
146  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
147 
148 protected:
150  template<typename Archive, bool onDeserialize>
151  services::Status serialImpl(Archive *arch)
152  {
153  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
154  }
155 };
156 typedef services::SharedPtr<Result> ResultPtr;
157 
158 } // namespace interface1
159 using interface1::Input;
160 using interface1::Result;
161 using interface1::ResultPtr;
162 } // namespace backward
164 } // namespace spatial_average_pooling2d
165 } // namespace layers
166 } // namespace neural_networks
167 } // namespace algorithm
168 } // namespace daal
169 
170 #endif
daal
Definition: algorithm_base_common.h:31
daal_defines.h
daal::algorithms::neural_networks::layers::spatial_average_pooling2d::backward::interface1::Input
Input objects for the backward spatial pyramid average 2D pooling layer
Definition: spatial_average_pooling2d_layer_backward_types.h:65
daal::algorithms::neural_networks::layers::spatial_average_pooling2d::LayerDataId
LayerDataId
Identifiers of input tensors for the backward spatial pyramid average 2D pooling layer and results fo...
Definition: spatial_average_pooling2d_layer_types.h:60
daal::algorithms::neural_networks::layers::spatial_average_pooling2d::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward spatial pyra...
Definition: spatial_average_pooling2d_layer_backward_types.h:114

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