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

spatial_pooling2d_layer_backward_types.h
1 /* file: spatial_pooling2d_layer_backward_types.h */
2 /*******************************************************************************
3 * Copyright 2014-2019 Intel Corporation.
4 *
5 * This software and the related documents are Intel copyrighted materials, and
6 * your use of them is governed by the express license under which they were
7 * provided to you (License). Unless the License provides otherwise, you may not
8 * use, modify, copy, publish, distribute, disclose or transmit this software or
9 * the related documents without Intel's prior written permission.
10 *
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 2D spatial layer.
19 //--
20 */
21 
22 #ifndef __SPATIAL_POOLING2D_LAYER_BACKWARD_TYPES_H__
23 #define __SPATIAL_POOLING2D_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/spatial_pooling2d/spatial_pooling2d_layer_types.h"
31 #include "algorithms/neural_networks/layers/spatial_pooling2d/spatial_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 spatial_pooling2d
42 {
52 namespace backward
53 {
54 
58 namespace interface1
59 {
64 class DAAL_EXPORT Input : public layers::backward::Input
65 {
66 public:
67  typedef layers::backward::Input super;
69  Input();
70 
72  Input(const Input& other);
73 
74  virtual ~Input() {}
75 
76  using layers::backward::Input::get;
77  using layers::backward::Input::set;
78 
86  services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
87 
92  virtual services::Collection<size_t> getGradientSize() const;
93 
94 protected:
95  virtual data_management::NumericTablePtr getAuxInputDimensions() const = 0;
96 
97  size_t computeInputDimension(size_t maskDim, size_t kernelSize, size_t padding, size_t stride) const;
98 };
99 
105 class DAAL_EXPORT Result : public layers::backward::Result
106 {
107 public:
109  Result();
110  virtual ~Result() {}
111 
120  template <typename algorithmFPType>
121  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
122 
131  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
132 };
133 
134 } // namespace interface1
135 using interface1::Input;
136 using interface1::Result;
137 } // namespace backward
139 } // namespace spatial_pooling2d
140 } // namespace layers
141 } // namespace neural_networks
142 } // namespace algorithm
143 } // namespace daal
144 
145 #endif
daal
Definition: algorithm_base_common.h:31
daal_defines.h
daal::algorithms::neural_networks::layers::spatial_pooling2d::backward::interface1::Result
Provides methods to access the result obtained with the compute() method of the backward 2D spatial l...
Definition: spatial_pooling2d_layer_backward_types.h:105
daal::algorithms::neural_networks::layers::spatial_pooling2d::backward::interface1::Input
Input objects for the backward 2D spatial layer
Definition: spatial_pooling2d_layer_backward_types.h:64

For more complete information about compiler optimizations, see our Optimization Notice.