C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

spatial_stochastic_pooling2d_layer_backward_types.h
1 /* file: spatial_stochastic_pooling2d_layer_backward_types.h */
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15 
16 /*
17 //++
18 // Implementation of backward spatial pyramid stochastic 2D pooling layer.
19 //--
20 */
21 
22 #ifndef __SPATIAL_STOCHASTIC_POOLING2D_LAYER_BACKWARD_TYPES_H__
23 #define __SPATIAL_STOCHASTIC_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/spatial_pooling2d/spatial_stochastic_pooling2d_layer_types.h"
30 #include "algorithms/neural_networks/layers/spatial_pooling2d/spatial_pooling2d_layer_backward_types.h"
31 
32 namespace daal
33 {
34 namespace algorithms
35 {
36 namespace neural_networks
37 {
38 namespace layers
39 {
40 namespace spatial_stochastic_pooling2d
41 {
51 namespace backward
52 {
53 
57 namespace interface1
58 {
59 
64 class DAAL_EXPORT Input : public spatial_pooling2d::backward::Input
65 {
66 public:
67  typedef spatial_pooling2d::backward::Input super;
71  Input();
72 
74  Input(const Input& other);
75 
76  virtual ~Input() {}
77 
78  using layers::backward::Input::get;
79  using layers::backward::Input::set;
80 
86  data_management::TensorPtr get(LayerDataId id) const;
87 
93  data_management::NumericTablePtr get(LayerDataNumericTableId id) const;
94 
100  void set(LayerDataId id, const data_management::TensorPtr &ptr);
101 
107  void set(LayerDataNumericTableId id, const data_management::NumericTablePtr &ptr);
108 
116  services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
117 protected:
118  virtual data_management::NumericTablePtr getAuxInputDimensions() const DAAL_C11_OVERRIDE;
119 };
120 
126 class DAAL_EXPORT Result : public spatial_pooling2d::backward::Result
127 {
128 public:
129  DECLARE_SERIALIZABLE_CAST(Result);
133  Result();
134  virtual ~Result() {}
135 
136  using layers::backward::Result::get;
137  using layers::backward::Result::set;
138 
147  template <typename algorithmFPType>
148  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
149 
158  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
159 
160 protected:
162  template<typename Archive, bool onDeserialize>
163  services::Status serialImpl(Archive *arch)
164  {
165  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
166  }
167 };
168 typedef services::SharedPtr<Result> ResultPtr;
169 
170 } // namespace interface1
171 using interface1::Input;
172 using interface1::Result;
173 using interface1::ResultPtr;
174 } // namespace backward
176 } // namespace spatial_stochastic_pooling2d
177 } // namespace layers
178 } // namespace neural_networks
179 } // namespace algorithm
180 } // namespace daal
181 
182 #endif
daal
Definition: algorithm_base_common.h:31
daal::algorithms::neural_networks::layers::spatial_stochastic_pooling2d::backward::interface1::Input
Input objects for the backward spatial pyramid stochastic 2D pooling layer
Definition: spatial_stochastic_pooling2d_layer_backward_types.h:64
daal_defines.h
daal::algorithms::neural_networks::layers::spatial_stochastic_pooling2d::LayerDataId
LayerDataId
Identifiers of input tensors for the backward spatial pyramid stochastic 2D pooling layer and results...
Definition: spatial_stochastic_pooling2d_layer_types.h:61
daal::algorithms::neural_networks::layers::spatial_stochastic_pooling2d::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward spatial pyra...
Definition: spatial_stochastic_pooling2d_layer_backward_types.h:126
daal::algorithms::neural_networks::layers::spatial_stochastic_pooling2d::LayerDataNumericTableId
LayerDataNumericTableId
Identifiers of input numeric tables for the backward spatial pyramid stochastic 2D pooling layer and ...
Definition: spatial_stochastic_pooling2d_layer_types.h:71

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