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

batch_normalization_layer_backward_types.h
1 /* file: batch_normalization_layer_backward_types.h */
2 /*******************************************************************************
3 * Copyright 2014-2019 Intel Corporation.
4 *
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6 * your use of them is governed by the express license under which they were
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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
12 * or implied warranties, other than those that are expressly stated in the
13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of the backward batch normalization layer.
19 //--
20 */
21 
22 #ifndef __BATCH_NORMALIZATION_LAYER_BACKWARD_TYPES_H__
23 #define __BATCH_NORMALIZATION_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/batch_normalization/batch_normalization_layer_types.h"
31 
32 namespace daal
33 {
34 namespace algorithms
35 {
36 namespace neural_networks
37 {
38 namespace layers
39 {
40 namespace batch_normalization
41 {
51 namespace backward
52 {
53 
57 namespace interface1
58 {
63 class DAAL_EXPORT Input : public layers::backward::Input
64 {
65 public:
66  typedef layers::backward::Input super;
67 
69  Input();
70 
72  Input(const Input& other);
73 
74  virtual ~Input() {}
75 
79  using layers::backward::Input::get;
80 
84  using layers::backward::Input::set;
85 
91  data_management::TensorPtr get(LayerDataId id) const;
92 
98  void set(LayerDataId id, const data_management::TensorPtr &ptr);
99 
107  services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
108 };
109 
115 class DAAL_EXPORT Result : public layers::backward::Result
116 {
117 public:
118  DECLARE_SERIALIZABLE_CAST(Result);
120  Result();
121  virtual ~Result() {}
122 
126  using layers::backward::Result::get;
127 
131  using layers::backward::Result::set;
132 
141  template <typename algorithmFPType>
142  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
143 
152  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
153 
154 protected:
156  template<typename Archive, bool onDeserialize>
157  services::Status serialImpl(Archive *arch)
158  {
159  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
160  }
161 };
162 typedef services::SharedPtr<Result> ResultPtr;
163 
164 } // namespace interface1
165 using interface1::Input;
166 using interface1::Result;
167 using interface1::ResultPtr;
168 } // namespace backward
169 
171 } // namespace batch_normalization
172 } // namespace layers
173 } // namespace neural_networks
174 } // namespace algorithm
175 } // namespace daal
176 
177 #endif
daal::algorithms::neural_networks::layers::batch_normalization::LayerDataId
LayerDataId
Identifiers of input objects for the backward batch normalization layer and results for the forward b...
Definition: batch_normalization_layer_types.h:60
daal
Definition: algorithm_base_common.h:31
daal_defines.h
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Input
Input objects for the backward batch normalization layer
Definition: batch_normalization_layer_backward_types.h:63
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward batch normal...
Definition: batch_normalization_layer_backward_types.h:115

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