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

batch_normalization_layer_forward_types.h
1 /* file: batch_normalization_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 batch normalization layer.
21 //--
22 */
23 
24 #ifndef __BATCH_NORMALIZATION_LAYER_FORWARD_TYPES_H__
25 #define __BATCH_NORMALIZATION_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/batch_normalization/batch_normalization_layer_types.h"
33 
34 namespace daal
35 {
36 namespace algorithms
37 {
38 namespace neural_networks
39 {
40 namespace layers
41 {
42 namespace batch_normalization
43 {
53 namespace forward
54 {
59 enum InputLayerDataId
60 {
61  populationMean = layers::forward::lastInputLayerDataId + 1,
62  populationVariance,
63  lastInputLayerDataId = populationVariance
64 };
65 
69 namespace interface1
70 {
76 class DAAL_EXPORT Input : public layers::forward::Input
77 {
78 public:
79  typedef layers::forward::Input super;
84  Input();
85 
90  Input(const Input& other);
91 
92  virtual ~Input() {}
93 
97  using layers::forward::Input::get;
101  using layers::forward::Input::set;
102 
103 
112  template <typename algorithmFPType>
113  DAAL_EXPORT services::Status allocate(const daal::algorithms::Parameter *parameter, const int method);
114 
120  DAAL_DEPRECATED_VIRTUAL virtual const services::Collection<size_t> getWeightsSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
121 
127  DAAL_DEPRECATED_VIRTUAL virtual const services::Collection<size_t> getBiasesSizes(const layers::Parameter *parameter) const DAAL_C11_OVERRIDE;
128 
135  DAAL_DEPRECATED data_management::TensorPtr get(InputLayerDataId id) const;
136 
143  void set(InputLayerDataId id, const data_management::TensorPtr &ptr);
144 
153  DAAL_DEPRECATED services::Status check(const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
154 };
155 
163 class DAAL_EXPORT Result : public layers::forward::Result
164 {
165 public:
166  DECLARE_SERIALIZABLE_CAST(Result);
171  Result();
172  virtual ~Result() {}
173 
174  using layers::forward::Result::get;
175  using layers::forward::Result::set;
176 
182  DAAL_DEPRECATED_VIRTUAL virtual const services::Collection<size_t> getValueSize(const services::Collection<size_t> &inputSize,
183  const daal::algorithms::Parameter *par, const int method) const DAAL_C11_OVERRIDE;
184 
194  template <typename algorithmFPType>
195  DAAL_EXPORT services::Status allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
196 
204  DAAL_DEPRECATED_VIRTUAL virtual services::Status setResultForBackward(const daal::algorithms::Input *input) DAAL_C11_OVERRIDE;
205 
212  data_management::TensorPtr get(LayerDataId id) const;
213 
220  DAAL_DEPRECATED void set(LayerDataId id, const data_management::TensorPtr &ptr);
221 
231  DAAL_DEPRECATED services::Status check(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, int method) const DAAL_C11_OVERRIDE;
232 
233 protected:
238  template<typename Archive, bool onDeserialize>
239  services::Status serialImpl(Archive *arch)
240  {
241  return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
242  }
243 };
244 typedef services::SharedPtr<Result> ResultPtr;
245 
246 } // namespace interface1
247 using interface1::Input;
248 using interface1::Result;
249 using interface1::ResultPtr;
250 
251 } // namespace forward
252 
254 } // namespace batch_normalization
255 } // namespace layers
256 } // namespace neural_networks
257 } // namespace algorithm
258 } // namespace daal
259 
260 #endif
daal::algorithms::neural_networks::layers::batch_normalization::LayerDataId
LayerDataId
Identifiers of input objects for the backward batch normalization layer and results for the forward b...
Definition: batch_normalization_layer_types.h:62
daal::algorithms::neural_networks::layers::batch_normalization::forward::populationVariance
Definition: batch_normalization_layer_forward_types.h:62
daal::algorithms::neural_networks::layers::batch_normalization::forward::interface1::Input
Input objects for the forward batch normalization layer.
Definition: batch_normalization_layer_forward_types.h:76
daal_defines.h
daal::algorithms::neural_networks::layers::batch_normalization::forward::populationMean
Definition: batch_normalization_layer_forward_types.h:61
daal::algorithms::neural_networks::layers::batch_normalization::forward::InputLayerDataId
InputLayerDataId
Definition: batch_normalization_layer_forward_types.h:59
daal::algorithms::neural_networks::layers::batch_normalization::forward::interface1::Result
Provides methods to access the result obtained with the compute() method of the forward batch normali...
Definition: batch_normalization_layer_forward_types.h:163

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