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

logistic_cross_layer_backward_types.h
1 /* file: logistic_cross_layer_backward_types.h */
2 /*******************************************************************************
3 * Copyright 2014-2018 Intel Corporation.
4 *
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9 * the related documents without Intel's prior written permission.
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12 * or implied warranties, other than those that are expressly stated in the
13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of the backward logistic cross-entropy layer types.
19 //--
20 */
21 
22 #ifndef __NEURAL_NENTWORK_LOSS_LOGISTIC_CROSS_LAYER_BACKWARD_TYPES_H__
23 #define __NEURAL_NENTWORK_LOSS_LOGISTIC_CROSS_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 "services/daal_defines.h"
29 #include "algorithms/neural_networks/layers/layer_backward_types.h"
30 #include "algorithms/neural_networks/layers/loss/loss_layer_backward_types.h"
31 #include "algorithms/neural_networks/layers/loss/logistic_cross_layer_types.h"
32 
33 namespace daal
34 {
35 namespace algorithms
36 {
37 namespace neural_networks
38 {
39 namespace layers
40 {
41 namespace loss
42 {
43 namespace logistic_cross
44 {
54 namespace backward
55 {
59 namespace interface1
60 {
65 class DAAL_EXPORT Input : public loss::backward::Input
66 {
67 public:
68  typedef loss::backward::Input super;
70  Input();
71 
73  Input(const Input& other);
74 
75  virtual ~Input() {}
76 
80  using loss::backward::Input::get;
81 
85  using loss::backward::Input::set;
86 
92  data_management::TensorPtr get(LayerDataId id) const;
93 
99  void set(LayerDataId id, const data_management::TensorPtr &value);
100 
108  services::Status check(const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
109 };
110 
116 class DAAL_EXPORT Result : public loss::backward::Result
117 {
118 public:
119  DECLARE_SERIALIZABLE_CAST(Result);
121  Result();
122 
123  virtual ~Result() {};
124 
128  using loss::backward::Result::get;
129 
133  using loss::backward::Result::set;
134 
143  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
144 
153  template <typename algorithmFPType>
154  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
155 
156 protected:
158  template<typename Archive, bool onDeserialize>
159  services::Status serialImpl(Archive *arch)
160  {
161  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
162  }
163 };
164 typedef services::SharedPtr<Result> ResultPtr;
165 
166 } // namespace interface1
167 using interface1::Input;
168 using interface1::Result;
169 using interface1::ResultPtr;
170 } // namespace backward
172 } // namespace logistic_cross
173 } // namespace loss
174 } // namespace layers
175 } // namespace neural_networks
176 } // namespace algorithm
177 } // namespace daal
178 #endif
daal
Definition: algorithm_base_common.h:31
daal::algorithms::neural_networks::layers::loss::logistic_cross::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward logistic cro...
Definition: logistic_cross_layer_backward_types.h:116
daal_defines.h
daal::algorithms::neural_networks::layers::loss::logistic_cross::LayerDataId
LayerDataId
Identifiers of input objects for the backward logistic cross-entropy layer and results for the forwar...
Definition: logistic_cross_layer_types.h:62
daal::algorithms::neural_networks::layers::loss::logistic_cross::backward::interface1::Input
Input objects for the backward logistic cross-entropy layer
Definition: logistic_cross_layer_backward_types.h:65
daal::algorithms::math::abs::value
Definition: abs_types.h:86

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