C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

logistic_cross_layer_forward.h
1 /* file: logistic_cross_layer_forward.h */
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41 
42 /*
43 //++
44 // Implementation of the interface for the forward logistic cross-entropy layer in the batch processing mode
45 //--
46 */
47 
48 #ifndef __LOSS_LOGISTIC_CROSS_LAYER_FORWARD_H__
49 #define __LOSS_LOGISTIC_CROSS_LAYER_FORWARD_H__
50 
51 #include "algorithms/algorithm.h"
52 #include "services/daal_defines.h"
53 #include "algorithms/neural_networks/layers/layer.h"
54 #include "algorithms/neural_networks/layers/loss/loss_layer_forward.h"
55 #include "algorithms/neural_networks/layers/loss/logistic_cross_layer_types.h"
56 #include "algorithms/neural_networks/layers/loss/logistic_cross_layer_forward_types.h"
57 #include "algorithms/neural_networks/layers/logistic/logistic_layer_forward.h"
58 
59 namespace daal
60 {
61 namespace algorithms
62 {
63 namespace neural_networks
64 {
65 namespace layers
66 {
67 namespace loss
68 {
69 namespace logistic_cross
70 {
71 namespace forward
72 {
73 namespace interface1
74 {
90 template<typename algorithmFPType, Method method, CpuType cpu>
91 class DAAL_EXPORT BatchContainer : public layers::forward::LayerContainerIfaceImpl
92 {
93 public:
99  BatchContainer(daal::services::Environment::env *daalEnv);
101  ~BatchContainer();
107  services::Status compute() DAAL_C11_OVERRIDE;
108 };
109 
128 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
129 class Batch : public loss::forward::Batch
130 {
131 public:
132  typedef loss::forward::Batch super;
133  Parameter &parameter;
134  Input input;
137  Batch() : parameter(_defaultParameter)
138  {
139  initialize();
140  };
141 
147  Batch(Parameter& parameter) : parameter(parameter), _defaultParameter(parameter)
148  {
149  initialize();
150  }
151 
158  Batch(const Batch<algorithmFPType, method> &other) : super(other),
159  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
160  {
161  initialize();
162  }
163 
168  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
169 
174  virtual Input *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
175 
180  virtual Parameter *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
181 
186  layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
187  {
188  return getResult();
189  }
190 
195  ResultPtr getResult()
196  {
197  return _result;
198  }
199 
206  services::Status setResult(const ResultPtr& result)
207  {
208  DAAL_CHECK(result, services::ErrorNullResult)
209  _result = result;
210  _res = _result.get();
211  return services::Status();
212  }
213 
220  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
221  {
222  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
223  }
224 
230  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
231  {
232  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
233  this->_res = this->_result.get();
234  return s;
235  }
236 
241  virtual layers::forward::LayerIfacePtr getLayerForPrediction() const DAAL_C11_OVERRIDE
242  {
243  return layers::forward::LayerIfacePtr(
244  new layers::logistic::forward::Batch<algorithmFPType>());
245  }
246 
247 protected:
248  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
249  {
250  return new Batch<algorithmFPType, method>(*this);
251  }
252 
253  void initialize()
254  {
255  Analysis<batch>::_ac = new __DAAL_ALGORITHM_LAYER_CONTAINER(BatchContainer, algorithmFPType, method)(&_env);
256  _in = &input;
257  _par = &parameter;
258  _result.reset(new Result());
259  }
260 
261 private:
262  ResultPtr _result;
263  Parameter _defaultParameter;
264 };
266 } // namespace interface1
267 using interface1::BatchContainer;
268 using interface1::Batch;
269 } // namespace forward
270 } // namespace logistic_cross
271 } // namespace loss
272 } // namespace layers
273 } // namespace neural_networks
274 } // namespace algorithms
275 } // namespace daal
276 #endif
daal
Definition: algorithm_base_common.h:57
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::getResult
ResultPtr getResult()
Definition: logistic_cross_layer_forward.h:195
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::parameter
Parameter & parameter
Definition: logistic_cross_layer_forward.h:133
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:91
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: logistic_cross_layer_forward.h:168
daal_defines.h
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::Batch
Batch(Parameter &parameter)
Definition: logistic_cross_layer_forward.h:147
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::getLayerForPrediction
virtual layers::forward::LayerIfacePtr getLayerForPrediction() const DAAL_C11_OVERRIDE
Definition: logistic_cross_layer_forward.h:241
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch
Provides methods for the forward logistic cross layer in the batch processing mode.
Definition: logistic_cross_layer_forward.h:129
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::input
Input input
Definition: logistic_cross_layer_forward.h:134
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: logistic_cross_layer_forward.h:220
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::getLayerParameter
virtual Parameter * getLayerParameter() DAAL_C11_OVERRIDE
Definition: logistic_cross_layer_forward.h:180
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::getLayerInput
virtual Input * getLayerInput() DAAL_C11_OVERRIDE
Definition: logistic_cross_layer_forward.h:174
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: logistic_cross_layer_forward.h:158
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::allocateResult
virtual services::Status allocateResult() DAAL_C11_OVERRIDE
Definition: logistic_cross_layer_forward.h:230
daal::algorithms::Analysis
Provides methods for execution of operations over data, such as computation of Summary Statistics est...
Definition: analysis.h:94
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::Batch
Batch()
Definition: logistic_cross_layer_forward.h:137
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::BatchContainer
Provides methods to run implementations of the of the forward logistic cross-entropy layer This class...
Definition: logistic_cross_layer_forward.h:91
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: logistic_cross_layer_forward.h:206
daal::algorithms::neural_networks::layers::loss::logistic_cross::forward::interface1::Batch::getLayerResult
layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: logistic_cross_layer_forward.h:186
daal::services::ErrorNullResult
Definition: error_indexes.h:122

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