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

average_pooling2d_layer_backward_types.h
1 /* file: average_pooling2d_layer_backward_types.h */
2 /*******************************************************************************
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15 
16 /*
17 //++
18 // Implementation of backward average 2D pooling layer.
19 //--
20 */
21 
22 #ifndef __AVERAGE_POOLING2D_LAYER_BACKWARD_TYPES_H__
23 #define __AVERAGE_POOLING2D_LAYER_BACKWARD_TYPES_H__
24 
25 #include "algorithms/algorithm.h"
26 #include "data_management/data/tensor.h"
27 #include "data_management/data/homogen_tensor.h"
28 #include "data_management/data/homogen_numeric_table.h"
29 #include "services/daal_defines.h"
30 #include "algorithms/neural_networks/layers/pooling2d/pooling2d_layer_backward_types.h"
31 #include "algorithms/neural_networks/layers/pooling2d/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 average_pooling2d
42 {
52 namespace backward
53 {
54 
58 namespace interface1
59 {
64 class DAAL_EXPORT Input : public pooling2d::backward::Input
65 {
66 public:
67  typedef 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::NumericTablePtr get(LayerDataId id) const;
87 
93  data_management::TensorPtr get(LayerDataTensorId id) const;
94 
100  void set(LayerDataId id, const data_management::NumericTablePtr &ptr);
101 
107  void set(LayerDataTensorId id, const data_management::TensorPtr &ptr);
108 
116  services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
117 
118 protected:
119  virtual data_management::NumericTablePtr getAuxInputDimensions() const DAAL_C11_OVERRIDE;
120 };
121 
127 class DAAL_EXPORT Result : public pooling2d::backward::Result
128 {
129 public:
130  DECLARE_SERIALIZABLE_CAST(Result);
134  Result();
135  virtual ~Result() {}
136 
137  using layers::backward::Result::get;
138  using layers::backward::Result::set;
139 
148  template <typename algorithmFPType>
149  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
150 
159  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
160 
161 protected:
163  template<typename Archive, bool onDeserialize>
164  services::Status serialImpl(Archive *arch)
165  {
166  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
167  }
168 };
169 typedef services::SharedPtr<Result> ResultPtr;
170 
171 } // namespace interface1
172 using interface1::Input;
173 using interface1::Result;
174 using interface1::ResultPtr;
175 } // namespace backward
177 } // namespace average_pooling2d
178 } // namespace layers
179 } // namespace neural_networks
180 } // namespace algorithm
181 } // namespace daal
182 
183 #endif
daal::algorithms::neural_networks::layers::average_pooling2d::LayerDataId
LayerDataId
Identifiers of input objects for the backward average 2D pooling layer and results for the forward av...
Definition: average_pooling2d_layer_types.h:60
daal
Definition: algorithm_base_common.h:31
daal_defines.h
daal::algorithms::neural_networks::layers::average_pooling2d::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward average 2D p...
Definition: average_pooling2d_layer_backward_types.h:127
daal::algorithms::neural_networks::layers::average_pooling2d::backward::interface1::Input
Input objects for the backward average 2D pooling layer
Definition: average_pooling2d_layer_backward_types.h:64
daal::algorithms::neural_networks::layers::average_pooling2d::LayerDataTensorId
LayerDataTensorId
Identifiers of input tensors for the backward average 2D pooling layer and results for the forward av...
Definition: average_pooling2d_layer_types.h:70

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