C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

batch_normalization_layer_backward.h
1 /* file: batch_normalization_layer_backward.h */
2 /*******************************************************************************
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13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of the interface for the backward batch normalization layer
19 // in the batch processing mode
20 //--
21 */
22 
23 #ifndef __BATCH_NORMALIZATION_LAYER_BACKWARD_H__
24 #define __BATCH_NORMALIZATION_LAYER_BACKWARD_H__
25 
26 #include "algorithms/algorithm.h"
27 #include "data_management/data/tensor.h"
28 #include "services/daal_defines.h"
29 #include "algorithms/neural_networks/layers/layer.h"
30 #include "algorithms/neural_networks/layers/batch_normalization/batch_normalization_layer_types.h"
31 #include "algorithms/neural_networks/layers/batch_normalization/batch_normalization_layer_backward_types.h"
32 
33 namespace daal
34 {
35 namespace algorithms
36 {
37 namespace neural_networks
38 {
39 namespace layers
40 {
41 namespace batch_normalization
42 {
43 namespace backward
44 {
48 namespace interface1
49 {
65 template<typename algorithmFPType, Method method, CpuType cpu>
66 class DAAL_EXPORT BatchContainer : public AnalysisContainerIface<batch>
67 {
68 public:
74  BatchContainer(daal::services::Environment::env *daalEnv);
76  ~BatchContainer();
82  services::Status compute() DAAL_C11_OVERRIDE;
83 };
84 
103 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
104 class Batch : public layers::backward::LayerIfaceImpl
105 {
106 public:
107  typedef layers::backward::LayerIfaceImpl super;
108 
109  typedef algorithms::neural_networks::layers::batch_normalization::backward::Input InputType;
110  typedef algorithms::neural_networks::layers::batch_normalization::Parameter ParameterType;
111  typedef algorithms::neural_networks::layers::batch_normalization::backward::Result ResultType;
112 
113  ParameterType &parameter;
114  InputType input;
117  Batch() : parameter(_defaultParameter)
118  {
119  initialize();
120  }
121 
127  Batch(ParameterType& parameter) : parameter(parameter), _defaultParameter(parameter)
128  {
129  initialize();
130  }
131 
138  Batch(const Batch<algorithmFPType, method> &other) : super(other),
139  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
140  {
141  initialize();
142  }
143 
148  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
149 
154  virtual InputType *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
155 
160  virtual ParameterType *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
161 
166  layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
167  {
168  return _result;
169  }
170 
175  ResultPtr getResult()
176  {
177  return _result;
178  }
179 
186  services::Status setResult(const ResultPtr& result)
187  {
188  DAAL_CHECK(result, services::ErrorNullResult)
189  _result = result;
190  _res = _result.get();
191  return services::Status();
192  }
193 
200  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
201  {
202  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
203  }
204 
210  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
211  {
212  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
213  this->_res = this->_result.get();
214  return s;
215  }
216 
217 protected:
218  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
219  {
220  return new Batch<algorithmFPType, method>(*this);
221  }
222 
223  void initialize()
224  {
225  Analysis<batch>::_ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
226  _in = &input;
227  _par = &parameter;
228  _result.reset(new ResultType());
229  }
230 
231 private:
232  ResultPtr _result;
233  ParameterType _defaultParameter;
234 };
236 } // namespace interface1
237 using interface1::BatchContainer;
238 using interface1::Batch;
239 } // namespace backward
240 } // namespace batch_normalization
241 } // namespace layers
242 } // namespace neural_networks
243 } // namespace algorithms
244 } // namespace daal
245 #endif
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::getLayerParameter
virtual ParameterType * getLayerParameter() DAAL_C11_OVERRIDE
Definition: batch_normalization_layer_backward.h:160
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::BatchContainer
Provides methods to run implementations of the backward batch normalization layer. This class is associated with the backward::Batch class and supports the method of backward batch normalization layer computation in the batch processing mode.
Definition: batch_normalization_layer_backward.h:66
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: batch_normalization_layer_backward.h:186
daal
Definition: algorithm_base_common.h:31
daal::algorithms::AnalysisContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the analy...
Definition: analysis.h:53
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: batch_normalization_layer_backward.h:200
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: batch_normalization_layer_backward.h:138
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::allocateResult
virtual services::Status allocateResult() DAAL_C11_OVERRIDE
Definition: batch_normalization_layer_backward.h:210
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch
Provides methods for the backward batch normalization layer in the batch processing mode...
Definition: batch_normalization_layer_backward.h:104
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: batch_normalization_layer_backward.h:148
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::getLayerResult
layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: batch_normalization_layer_backward.h:166
daal_defines.h
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::input
InputType input
Definition: batch_normalization_layer_backward.h:114
daal::batch
Definition: daal_defines.h:106
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::parameter
ParameterType & parameter
Definition: batch_normalization_layer_backward.h:113
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::getLayerInput
virtual InputType * getLayerInput() DAAL_C11_OVERRIDE
Definition: batch_normalization_layer_backward.h:154
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::Batch
Batch()
Definition: batch_normalization_layer_backward.h:117
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::Batch
Batch(ParameterType &parameter)
Definition: batch_normalization_layer_backward.h:127
daal::algorithms::Analysis
Provides methods for execution of operations over data, such as computation of Summary Statistics est...
Definition: analysis.h:68
daal::algorithms::neural_networks::layers::batch_normalization::backward::interface1::Batch::getResult
ResultPtr getResult()
Definition: batch_normalization_layer_backward.h:175
daal::services::ErrorNullResult
Definition: error_indexes.h:96

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