C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

tanh_layer_forward_types.h
1 /* file: tanh_layer_forward_types.h */
2 /*******************************************************************************
3 * Copyright 2014-2020 Intel Corporation
4 *
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 *******************************************************************************/
17 
18 /*
19 //++
20 // Implementation of the forward hyperbolic tangent layer.
21 //--
22 */
23 
24 #ifndef __TANH_LAYER_FORWARD_TYPES_H__
25 #define __TANH_LAYER_FORWARD_TYPES_H__
26 
27 #include "algorithms/algorithm.h"
28 #include "data_management/data/tensor.h"
29 #include "data_management/data/homogen_tensor.h"
30 #include "services/daal_defines.h"
31 #include "algorithms/neural_networks/layers/layer_forward_types.h"
32 #include "algorithms/neural_networks/layers/tanh/tanh_layer_types.h"
33 
34 namespace daal
35 {
36 namespace algorithms
37 {
38 namespace neural_networks
39 {
40 namespace layers
41 {
45 namespace tanh
46 {
56 namespace forward
57 {
61 namespace interface1
62 {
68 class DAAL_EXPORT Input : public layers::forward::Input
69 {
70 public:
71  typedef layers::forward::Input super;
76  Input();
77 
82  Input(const Input& other);
83 
87  using layers::forward::Input::get;
91  using layers::forward::Input::set;
92 
97  virtual const services::Collection<size_t> getWeightsSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
98 
103  virtual const services::Collection<size_t> getBiasesSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
104 
112  services::Status check(const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
113 
114  /*
115  * \DAAL_DEPRECATED
116  */
117  virtual ~Input() {}
118 };
119 
125 class DAAL_EXPORT Result : public layers::forward::Result
126 {
127 public:
128  DECLARE_SERIALIZABLE_CAST(Result);
133  Result();
134  /*
135  * \DAAL_DEPRECATED
136  */
137  virtual ~Result() {};
138 
142  using layers::forward::Result::get;
143 
147  using layers::forward::Result::set;
148 
154  data_management::TensorPtr get(LayerDataId id) const;
155 
161  void set(LayerDataId id, const data_management::TensorPtr &value);
162 
171  services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
172 
181  template <typename algorithmFPType>
182  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, const int method);
183 
190  virtual services::Status setResultForBackward(const daal::algorithms::Input *input) DAAL_C11_OVERRIDE;
191 
196  virtual const services::Collection<size_t> getValueSize(const services::Collection<size_t> &inputSize,
197  const daal::algorithms::Parameter *par, const int method) const DAAL_C11_OVERRIDE;
198 
199 protected:
201  template<typename Archive, bool onDeserialize>
202  services::Status serialImpl(Archive *arch)
203  {
204  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
205  }
206 };
207 typedef services::SharedPtr<Result> ResultPtr;
208 
209 } // namespace interface1
210 using interface1::Input;
211 using interface1::Result;
212 using interface1::ResultPtr;
213 } // namespace forward
215 } // namespace tanh
216 } // namespace layers
217 } // namespace neural_networks
218 } // namespace algorithm
219 } // namespace daal
220 #endif
daal::algorithms::neural_networks::layers::tanh::forward::interface1::Input
Input objects for the forward hyperbolic tangent layer
Definition: tanh_layer_forward_types.h:68
daal_defines.h
daal::algorithms::neural_networks::layers::tanh::forward::interface1::Result
Provides methods to access the result obtained with the compute() method of the forward hyperbolic ta...
Definition: tanh_layer_forward_types.h:125
daal::algorithms::neural_networks::layers::tanh::LayerDataId
LayerDataId
Identifiers of input objects for the backward hyperbolic tangent layer and results for the forward hy...
Definition: tanh_layer_types.h:66
daal::algorithms::math::abs::value
Definition: abs_types.h:88

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