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

transposed_conv2d_layer_backward_types.h
1 /* file: transposed_conv2d_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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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 backward two-dimensional (2D) transposed convolution layer.
19 //--
20 */
21 
22 #ifndef __TRANSPOSED_CONV2D_LAYER_BACKWARD_TYPES_H__
23 #define __TRANSPOSED_CONV2D_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/transposed_conv2d/transposed_conv2d_layer_types.h"
31 
32 namespace daal
33 {
34 namespace algorithms
35 {
36 namespace neural_networks
37 {
38 namespace layers
39 {
40 namespace transposed_conv2d
41 {
51 namespace backward
52 {
56 namespace interface1
57 {
58 
63 class DAAL_EXPORT Input : public layers::backward::Input
64 {
65 public:
66  typedef layers::backward::Input super;
70  Input();
71 
73  Input(const Input& other);
74 
75  virtual ~Input() {}
76 
80  using layers::backward::Input::get;
81 
85  using layers::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 *parameter, int method) const DAAL_C11_OVERRIDE;
109 };
110 
115 class DAAL_EXPORT Result : public layers::backward::Result
116 {
117 public:
118  DECLARE_SERIALIZABLE_CAST(Result);
122  Result();
123 
124  virtual ~Result() {}
125 
129  using layers::backward::Result::get;
130 
134  using layers::backward::Result::set;
135 
144  template <typename algorithmFPType>
145  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
146 
155  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
156 
157 protected:
159  template<typename Archive, bool onDeserialize>
160  services::Status serialImpl(Archive *arch)
161  {
162  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
163  }
164 };
165 typedef services::SharedPtr<Result> ResultPtr;
166 
167 } // namespace interface1
168 using interface1::Input;
169 using interface1::Result;
170 using interface1::ResultPtr;
171 } // namespace backward
173 } // namespace transposed_conv2d
174 } // namespace layers
175 } // namespace neural_networks
176 } // namespace algorithms
177 } // namespace daal
178 #endif
daal
Definition: algorithm_base_common.h:31
daal::algorithms::neural_networks::layers::transposed_conv2d::LayerDataId
LayerDataId
Definition: transposed_conv2d_layer_types.h:60
daal::algorithms::neural_networks::layers::transposed_conv2d::backward::interface1::Input
Input objects for the backward 2D transposed convolution layer
Definition: transposed_conv2d_layer_backward_types.h:63
daal::algorithms::neural_networks::layers::transposed_conv2d::backward::interface1::Result
Results obtained with the compute() method of the backward 2D transposed convolution layer...
Definition: transposed_conv2d_layer_backward_types.h:115
daal_defines.h
daal::algorithms::math::abs::value
Definition: abs_types.h:86

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