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

logistic_cross_layer_forward_types.h
1 /* file: logistic_cross_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 logistic cross-entropy layer types.
21 //--
22 */
23 
24 #ifndef __NEURAL_NENTWORK_LOSS_LOGISTIC_CROSS_LAYER_FORWARD_TYPES_H__
25 #define __NEURAL_NENTWORK_LOSS_LOGISTIC_CROSS_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/loss/loss_layer_forward_types.h"
33 #include "algorithms/neural_networks/layers/loss/logistic_cross_layer_types.h"
34 
35 namespace daal
36 {
37 namespace algorithms
38 {
39 namespace neural_networks
40 {
41 namespace layers
42 {
43 namespace loss
44 {
45 namespace logistic_cross
46 {
56 namespace forward
57 {
61 namespace interface1
62 {
68 class DAAL_EXPORT Input : public loss::forward::Input
69 {
70 public:
71  typedef loss::forward::Input super;
76  Input();
77 
82  Input(const Input& other);
83 
87  using loss::forward::Input::get;
88 
92  using loss::forward::Input::set;
93 
99  DAAL_DEPRECATED_VIRTUAL virtual const services::Collection<size_t> getWeightsSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
100 
106  DAAL_DEPRECATED_VIRTUAL virtual const services::Collection<size_t> getBiasesSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
107 
116  DAAL_DEPRECATED services::Status check(const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
117 
118  /*
119  * \DAAL_DEPRECATED
120  */
121  virtual ~Input() {}
122 };
123 
130 class DAAL_EXPORT Result : public loss::forward::Result
131 {
132 public:
133  DECLARE_SERIALIZABLE_CAST(Result);
138  Result();
139  /*
140  * \DAAL_DEPRECATED
141  */
142  virtual ~Result() {};
143 
147  using loss::forward::Result::get;
148 
152  using loss::forward::Result::set;
153 
160  DAAL_DEPRECATED data_management::TensorPtr get(LayerDataId id) const;
161 
168  DAAL_DEPRECATED void set(LayerDataId id, const data_management::TensorPtr &value);
169 
179  DAAL_DEPRECATED services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *par, int method) const DAAL_C11_OVERRIDE;
180 
190  template <typename algorithmFPType>
191  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
192 
198  DAAL_DEPRECATED_VIRTUAL virtual const services::Collection<size_t> getValueSize(const services::Collection<size_t> &inputSize,
199  const daal::algorithms::Parameter *par, const int method) const DAAL_C11_OVERRIDE;
200 
208  virtual services::Status setResultForBackward(const daal::algorithms::Input *input) DAAL_C11_OVERRIDE;
209 
210 protected:
215  template<typename Archive, bool onDeserialize>
216  services::Status serialImpl(Archive *arch)
217  {
218  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
219  }
220 };
221 typedef services::SharedPtr<Result> ResultPtr;
222 
223 } // namespace interface1
224 using interface1::Input;
225 using interface1::Result;
226 using interface1::ResultPtr;
227 } // namespace forward
229 } // namespace logistic_cross
230 } // namespace loss
231 } // namespace layers
232 } // namespace neural_networks
233 } // namespace algorithm
234 } // namespace daal
235 #endif
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Result
Provides methods to access the result obtained with the compute() method of the forward logistic cros...
Definition: logistic_cross_layer_forward_types.h:130
daal::algorithms::neural_networks::layers::loss::logistic_cross::LayerDataId
LayerDataId
Identifiers of input objects for the backward logistic cross-entropy layer and results for the forwar...
Definition: logistic_cross_layer_types.h:64
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Input
Input objects for the forward logistic cross-entropy layer
Definition: logistic_cross_layer_forward_types.h:68
daal_defines.h
daal::algorithms::math::abs::value
Definition: abs_types.h:88

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