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

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  Parameter &parameter;
139  Input input;
142  Batch() : parameter(_defaultParameter)
143  {
144  initialize();
145  };
146 
152  Batch(Parameter& parameter) : parameter(parameter), _defaultParameter(parameter)
153  {
154  initialize();
155  };
156 
162  Batch(const Batch<algorithmFPType, method> &other) : super(other),
163  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
164  {
165  initialize();
166  }
167 
172  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
173 
178  virtual Input *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
179 
184  virtual Parameter *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
185 
190  layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
191  {
192  return getResult();
193  }
194 
199  ResultPtr getResult()
200  {
201  return _result;
202  }
203 
210  services::Status setResult(const ResultPtr& result)
211  {
212  DAAL_CHECK(result, services::ErrorNullResult)
213  _result = result;
214  _res = _result.get();
215  return services::Status();
216  }
217 
223  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
224  {
225  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
226  }
227 
228  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
229  {
230  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
231  this->_res = this->_result.get();
232  return s;
233  }
234 
235 protected:
236  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
237  {
238  return new Batch<algorithmFPType, method>(*this);
239  }
240 
241  void initialize()
242  {
243  Analysis<batch>::_ac = new __DAAL_ALGORITHM_LAYER_CONTAINER(BatchContainer, algorithmFPType, method)(&_env);
244  _in = &input;
245  _par = &parameter;
246  _result.reset(new Result());
247  }
248 
249 private:
250  ResultPtr _result;
251  Parameter _defaultParameter;
252 };
253 
255 } // namespace interface1
256 using interface1::BatchContainer;
257 using interface1::Batch;
258 } // namespace forward
259 } // namespace convolution2d
260 } // namespace layers
261 } // namespace neural_networks
262 } // namespace algorithms
263 } // namespace daal
264 #endif
daal
Definition: algorithm_base_common.h:57
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getResult
ResultPtr getResult()
Definition: convolution2d_layer_forward.h:199
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::Batch
Batch(Parameter &parameter)
Definition: convolution2d_layer_forward.h:152
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: convolution2d_layer_forward.h:162
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getLayerResult
layers::forward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:190
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getLayerParameter
virtual Parameter * getLayerParameter() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:184
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_defines.h
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::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::Batch
Batch()
Definition: convolution2d_layer_forward.h:142
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::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:172
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::input
Input input
Definition: convolution2d_layer_forward.h:139
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: convolution2d_layer_forward.h:210
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: convolution2d_layer_forward.h:223
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::getLayerInput
virtual Input * getLayerInput() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_forward.h:178
daal::algorithms::neural_networks::layers::convolution2d::forward::interface1::Batch::parameter
Parameter & parameter
Definition: convolution2d_layer_forward.h:138
daal::services::ErrorNullResult
Definition: error_indexes.h:122

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