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

locallyconnected2d_layer_forward.h
1 /* file: locallyconnected2d_layer_forward.h */
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41 
42 /*
43 //++
44 // Implementation of the interface for the forward two-dimensional (2D) locally connected layer in the batch
45 // processing mode
46 //--
47 */
48 
49 #ifndef __LOCALLYCONNECTED2D_LAYER_FORWARD_H__
50 #define __LOCALLYCONNECTED2D_LAYER_FORWARD_H__
51 
52 #include "algorithms/algorithm.h"
53 #include "data_management/data/tensor.h"
54 #include "services/daal_defines.h"
55 #include "algorithms/neural_networks/layers/layer.h"
56 #include "algorithms/neural_networks/layers/locallyconnected2d/locallyconnected2d_layer_types.h"
57 #include "algorithms/neural_networks/layers/locallyconnected2d/locallyconnected2d_layer_forward_types.h"
58 
59 namespace daal
60 {
61 namespace algorithms
62 {
63 namespace neural_networks
64 {
65 namespace layers
66 {
67 namespace locallyconnected2d
68 {
69 namespace forward
70 {
71 namespace interface1
72 {
88 template<typename algorithmFPType, Method method, CpuType cpu>
89 class DAAL_EXPORT BatchContainer : public layers::forward::LayerContainerIfaceImpl
90 {
91 public:
97  BatchContainer(daal::services::Environment::env *daalEnv);
99  ~BatchContainer();
105  services::Status compute() DAAL_C11_OVERRIDE;
106  services::Status setupCompute() DAAL_C11_OVERRIDE;
107  virtual services::Status allocateInput() DAAL_C11_OVERRIDE
108  {
109  Input *input = static_cast<Input *>(_in);
110  return input->allocate<algorithmFPType>(_par, (int) method);
111  }
112 };
113 
129 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
130 class Batch : public layers::forward::LayerIfaceImpl
131 {
132 public:
133  typedef layers::forward::LayerIfaceImpl super;
134  Parameter &parameter;
135  Input input;
138  Batch() : parameter(_defaultParameter)
139  {
140  initialize();
141  };
142 
148  Batch(Parameter& parameter) : parameter(parameter), _defaultParameter(parameter)
149  {
150  initialize();
151  };
152 
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 
219  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
220  {
221  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
222  }
223 
224  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
225  {
226  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
227  this->_res = this->_result.get();
228  return s;
229  }
230 
231 protected:
232  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
233  {
234  return new Batch<algorithmFPType, method>(*this);
235  }
236 
237  void initialize()
238  {
239  Analysis<batch>::_ac = new __DAAL_ALGORITHM_LAYER_CONTAINER(BatchContainer, algorithmFPType, method)(&_env);
240  _in = &input;
241  _par = &parameter;
242  _result.reset(new Result());
243  }
244 
245 private:
246  ResultPtr _result;
247  Parameter _defaultParameter;
248 };
249 
251 } // namespace interface1
252 using interface1::BatchContainer;
253 using interface1::Batch;
254 } // namespace forward
255 } // namespace locallyconnected2d
256 } // namespace layers
257 } // namespace neural_networks
258 } // namespace algorithms
259 } // namespace daal
260 #endif
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch
Provides methods for forward 2D locally connected layer computations in the batch processing mode...
Definition: locallyconnected2d_layer_forward.h:130
daal
Definition: algorithm_base_common.h:57
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::getLayerParameter
virtual Parameter * getLayerParameter() DAAL_C11_OVERRIDE
Definition: locallyconnected2d_layer_forward.h:180
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::Batch
Batch(Parameter &parameter)
Definition: locallyconnected2d_layer_forward.h:148
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::parameter
Parameter & parameter
Definition: locallyconnected2d_layer_forward.h:134
daal_defines.h
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: locallyconnected2d_layer_forward.h:158
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::input
Input input
Definition: locallyconnected2d_layer_forward.h:135
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::BatchContainer
Provides methods to run implementations of the forward 2D locally connected layer. This class is associated with the daal::algorithms::neural_networks::layers::locallyconnected2d::forward::Batch class and supports the method of forward 2D locally connected layer computation in the batch processing mode.
Definition: locallyconnected2d_layer_forward.h:89
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::getLayerInput
virtual Input * getLayerInput() DAAL_C11_OVERRIDE
Definition: locallyconnected2d_layer_forward.h:174
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::getResult
ResultPtr getResult()
Definition: locallyconnected2d_layer_forward.h:195
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: locallyconnected2d_layer_forward.h:168
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Input
Input objects for the forward 2D locally connected layer
Definition: locallyconnected2d_layer_forward_types.h:89
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::Batch
Batch()
Definition: locallyconnected2d_layer_forward.h:138
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Input::allocate
DAAL_EXPORT services::Status allocate(const daal::algorithms::Parameter *parameter, const int method)
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::getLayerResult
layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: locallyconnected2d_layer_forward.h:186
daal::algorithms::neural_networks::layers::locallyconnected2d::forward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: locallyconnected2d_layer_forward.h:206
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::locallyconnected2d::forward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: locallyconnected2d_layer_forward.h:219
daal::services::ErrorNullResult
Definition: error_indexes.h:122

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