C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

convolution2d_layer_forward.h
1 /* file: convolution2d_layer_forward.h */
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41 
42 /*
43 //++
44 // Implementation of the interface for the forward two-dimensional (2D) convolution layer in the batch
45 // processing mode
46 //--
47 */
48 
49 #ifndef __CONVOLUTION2D_LAYER_FORWARD_H__
50 #define __CONVOLUTION2D_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/convolution2d/convolution2d_layer_types.h"
57 #include "algorithms/neural_networks/layers/convolution2d/convolution2d_layer_forward_types.h"
58 
59 namespace daal
60 {
61 namespace algorithms
62 {
63 namespace neural_networks
64 {
65 namespace layers
66 {
67 namespace convolution2d
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  services::Status resetCompute() DAAL_C11_OVERRIDE;
108 
109  virtual services::Status allocateInput() DAAL_C11_OVERRIDE
110  {
111  Input *input = static_cast<Input *>(_in);
112  return input->allocate<algorithmFPType>(_par, (int) method);
113  }
114 };
115 
133 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
134 class Batch : public layers::forward::LayerIfaceImpl
135 {
136 public:
137  typedef layers::forward::LayerIfaceImpl super;
138 
139  typedef algorithms::neural_networks::layers::convolution2d::forward::Input InputType;
140  typedef algorithms::neural_networks::layers::convolution2d::Parameter ParameterType;
141  typedef algorithms::neural_networks::layers::convolution2d::forward::Result ResultType;
142 
143  ParameterType &parameter;
144  InputType input;
147  Batch() : parameter(_defaultParameter)
148  {
149  initialize();
150  };
151 
157  Batch(ParameterType& parameter) : parameter(parameter), _defaultParameter(parameter)
158  {
159  initialize();
160  };
161 
167  Batch(const Batch<algorithmFPType, method> &other) : super(other),
168  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
169  {
170  initialize();
171  }
172 
177  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
178 
183  virtual InputType *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
184 
189  virtual ParameterType *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
190 
195  layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
196  {
197  return getResult();
198  }
199 
204  ResultPtr getResult()
205  {
206  return _result;
207  }
208 
215  services::Status setResult(const ResultPtr& result)
216  {
217  DAAL_CHECK(result, services::ErrorNullResult)
218  _result = result;
219  _res = _result.get();
220  return services::Status();
221  }
222 
228  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
229  {
230  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
231  }
232 
233  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
234  {
235  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
236  this->_res = this->_result.get();
237  return s;
238  }
239 
240 protected:
241  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
242  {
243  return new Batch<algorithmFPType, method>(*this);
244  }
245 
246  void initialize()
247  {
248  Analysis<batch>::_ac = new __DAAL_ALGORITHM_LAYER_CONTAINER(BatchContainer, algorithmFPType, method)(&_env);
249  _in = &input;
250  _par = &parameter;
251  _result.reset(new ResultType());
252  }
253 
254 private:
255  ResultPtr _result;
256  ParameterType _defaultParameter;
257 };
258 
260 } // namespace interface1
261 using interface1::BatchContainer;
262 using interface1::Batch;
263 } // namespace forward
264 } // namespace convolution2d
265 } // namespace layers
266 } // namespace neural_networks
267 } // namespace algorithms
268 } // namespace daal
269 #endif
daal::services::interface1::Environment::_envStruct
The environment structure.
Definition: env_detect.h:95
daal::services::interface1::Status
Class that holds the results of API calls. In case of API routine failure it contains the list of err...
Definition: error_handling.h:491
daal
Definition: algorithm_base_common.h:57
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getResult
ResultPtr getResult()
Definition: convolution2d_layer_forward.h:204
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: convolution2d_layer_forward.h:167
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::Batch
Batch(ParameterType &parameter)
Definition: convolution2d_layer_forward.h:157
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Input
Input objects for the forward 2D convolution layer
Definition: convolution2d_layer_forward_types.h:89
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::parameter
ParameterType & parameter
Definition: convolution2d_layer_forward.h:143
daal_defines.h
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::input
InputType input
Definition: convolution2d_layer_forward.h:144
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch
Provides methods for forward 2D convolution layer computations in the batch processing mode...
Definition: convolution2d_layer_forward.h:134
daal::services::interface1::SharedPtr
Shared pointer that retains shared ownership of an object through a pointer. Several SharedPtr object...
Definition: daal_shared_ptr.h:187
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Result
Results obtained with the compute() method of the forward 2D convolution layer in the batch processin...
Definition: convolution2d_layer_forward_types.h:149
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::Batch
Batch()
Definition: convolution2d_layer_forward.h:147
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::BatchContainer
Provides methods to run implementations of the forward 2D convolution layer. This class is associated...
Definition: convolution2d_layer_forward.h:89
daal::services::interface1::SharedPtr::get
T * get() const
Definition: daal_shared_ptr.h:332
daal::algorithms::neural_networks::layers::convolution2d::interface1::Parameter
2D convolution layer parameters
Definition: convolution2d_layer_types.h:161
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:177
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: convolution2d_layer_forward.h:215
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getLayerInput
virtual InputType * getLayerInput() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:183
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::allocateResult
virtual services::Status allocateResult() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:233
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::convolution2d::forward::interface1::Input::allocate
DAAL_EXPORT services::Status allocate(const daal::algorithms::Parameter *parameter, const int method)
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: convolution2d_layer_forward.h:228
daal::algorithms::neural_networks::layers::forward::interface1::LayerContainerIfaceImpl
Provides methods of base container for forward layers. This class is associated with the daal::algori...
Definition: layer_forward_container_base.h:86
daal::algorithms::neural_networks::layers::forward::interface1::LayerIfaceImpl
Implements the abstract interface LayerIface. LayerIfaceImpl is, in turn, the base class for the clas...
Definition: layer_forward.h:169
daal::services::ErrorNullResult
Definition: error_indexes.h:122
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::BatchContainer::allocateInput
virtual services::Status allocateInput() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:109
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getLayerParameter
virtual ParameterType * getLayerParameter() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:189

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