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

convolution2d_layer_backward_types.h
1 /* file: convolution2d_layer_backward_types.h */
2 /*******************************************************************************
3 * Copyright 2014-2018 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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12 * or implied warranties, other than those that are expressly stated in the
13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of backward two-dimensional (2D) convolution layer.
19 //--
20 */
21 
22 #ifndef __CONVOLUTION2D_LAYER_BACKWARD_TYPES_H__
23 #define __CONVOLUTION2D_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/convolution2d/convolution2d_layer_types.h"
31 
32 namespace daal
33 {
34 namespace algorithms
35 {
36 namespace neural_networks
37 {
38 namespace layers
39 {
40 namespace convolution2d
41 {
51 namespace backward
52 {
56 namespace interface1
57 {
58 
63 class DAAL_EXPORT Input : public layers::backward::Input
64 {
65 public:
69  Input();
70 
71  virtual ~Input() {}
72 
76  using layers::backward::Input::get;
77 
81  using layers::backward::Input::set;
82 
88  data_management::TensorPtr get(LayerDataId id) const;
89 
95  void set(LayerDataId id, const data_management::TensorPtr &value);
96 
104  services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
105 };
106 
111 class DAAL_EXPORT Result : public layers::backward::Result
112 {
113 public:
114  DECLARE_SERIALIZABLE_CAST(Result);
118  Result();
119 
120  virtual ~Result() {}
121 
125  using layers::backward::Result::get;
126 
130  using layers::backward::Result::set;
131 
140  template <typename algorithmFPType>
141  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
142 
151  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
152 
153 protected:
155  template<typename Archive, bool onDeserialize>
156  services::Status serialImpl(Archive *arch)
157  {
158  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
159  }
160 };
161 typedef services::SharedPtr<Result> ResultPtr;
162 
163 } // namespace interface1
164 using interface1::Input;
165 using interface1::Result;
166 using interface1::ResultPtr;
167 } // namespace backward
169 } // namespace convolution2d
170 } // namespace layers
171 } // namespace neural_networks
172 } // namespace algorithms
173 } // namespace daal
174 #endif
daal
Definition: algorithm_base_common.h:31
daal::algorithms::neural_networks::layers::convolution2d::LayerDataId
LayerDataId
Definition: convolution2d_layer_types.h:60
daal_defines.h
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Input
Input objects for the backward 2D convolution layer
Definition: convolution2d_layer_backward_types.h:63
daal::algorithms::math::abs::value
Definition: abs_types.h:86
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Result
Results obtained with the compute() method of the backward 2D convolution layer.
Definition: convolution2d_layer_backward_types.h:111

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