C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

average_pooling2d_layer_forward_types.h
1 /* file: average_pooling2d_layer_forward_types.h */
2 /*******************************************************************************
3 * Copyright 2014-2019 Intel Corporation.
4 *
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9 * the related documents without Intel's prior written permission.
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11 * This software and the related documents are provided as is, with no express
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13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of forward pooling layer.
19 //--
20 */
21 
22 #ifndef __AVERAGE_POOLING2D_LAYER_FORWARD_TYPES_H__
23 #define __AVERAGE_POOLING2D_LAYER_FORWARD_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/average_pooling2d_layer_types.h"
31 #include "algorithms/neural_networks/layers/pooling2d/pooling2d_layer_forward_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 forward
53 {
57 namespace interface1
58 {
64 class DAAL_EXPORT Input : public pooling2d::forward::Input
65 {};
66 
72 class DAAL_EXPORT Result : public pooling2d::forward::Result
73 {
74 public:
75  DECLARE_SERIALIZABLE_CAST(Result);
79  Result();
80  virtual ~Result() {}
81 
82  using layers::forward::Result::get;
83  using layers::forward::Result::set;
84 
93  template <typename algorithmFPType>
94  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
95 
101  data_management::NumericTablePtr get(LayerDataId id) const;
102 
108  data_management::TensorPtr get(LayerDataTensorId id) const;
109 
115  void set(LayerDataId id, const data_management::NumericTablePtr &ptr);
116 
122  void set(LayerDataTensorId id, const data_management::TensorPtr &ptr);
123 
132  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
133 
134 protected:
136  template<typename Archive, bool onDeserialize>
137  services::Status serialImpl(Archive *arch)
138  {
139  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
140  }
141 };
142 typedef services::SharedPtr<Result> ResultPtr;
143 
144 } // namespace interface1
145 using interface1::Input;
146 using interface1::Result;
147 using interface1::ResultPtr;
148 
149 } // namespace forward
151 } // namespace average_pooling2d
152 } // namespace layers
153 } // namespace neural_networks
154 } // namespace algorithm
155 } // namespace daal
156 
157 #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::algorithms::neural_networks::layers::average_pooling2d::forward::interface1::Input
Input objects for the forward average 2D pooling layer. See pooling2d::forward::Input ...
Definition: average_pooling2d_layer_forward_types.h:64
daal_defines.h
daal::algorithms::neural_networks::layers::average_pooling2d::forward::interface1::Result
Provides methods to access the result obtained with the compute() method of the forward average 2D po...
Definition: average_pooling2d_layer_forward_types.h:72
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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