C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

convolution2d_layer_backward.h
1 /* file: convolution2d_layer_backward.h */
2 /*******************************************************************************
3 * Copyright 2014-2019 Intel Corporation.
4 *
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9 * the related documents without Intel's prior written permission.
10 *
11 * This software and the related documents are provided as is, with no express
12 * or implied warranties, other than those that are expressly stated in the
13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of the interface for the backward two-dimensional (2D) convolution layer in the
19 // batch processing mode
20 //--
21 */
22 
23 #ifndef __CONVOLUTION2D_LAYER_BACKWARD_H__
24 #define __CONVOLUTION2D_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/convolution2d/convolution2d_layer_types.h"
31 #include "algorithms/neural_networks/layers/convolution2d/convolution2d_layer_backward_types.h"
32 
33 namespace daal
34 {
35 namespace algorithms
36 {
37 namespace neural_networks
38 {
39 namespace layers
40 {
41 namespace convolution2d
42 {
43 namespace backward
44 {
45 namespace interface1
46 {
62 template<typename algorithmFPType, Method method, CpuType cpu>
63 class DAAL_EXPORT BatchContainer : public AnalysisContainerIface<batch>
64 {
65 public:
71  BatchContainer(daal::services::Environment::env *daalEnv);
73  ~BatchContainer();
79  services::Status compute() DAAL_C11_OVERRIDE;
80  services::Status setupCompute() DAAL_C11_OVERRIDE;
81  services::Status resetCompute() DAAL_C11_OVERRIDE;
82 };
83 
101 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
102 class Batch : public layers::backward::LayerIfaceImpl
103 {
104 public:
105  typedef layers::backward::LayerIfaceImpl super;
106 
107  typedef algorithms::neural_networks::layers::convolution2d::backward::Input InputType;
108  typedef algorithms::neural_networks::layers::convolution2d::Parameter ParameterType;
109  typedef algorithms::neural_networks::layers::convolution2d::backward::Result ResultType;
110 
111  ParameterType &parameter;
112  InputType input;
115  Batch() : parameter(_defaultParameter)
116  {
117  initialize();
118  };
119 
125  Batch(ParameterType& parameter) : parameter(parameter), _defaultParameter(parameter)
126  {
127  initialize();
128  }
129 
135  Batch(const Batch<algorithmFPType, method> &other) : super(other),
136  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
137  {
138  initialize();
139  }
140 
145  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
146 
151  virtual InputType *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
152 
157  virtual ParameterType *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
158 
163  layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
164  {
165  return getResult();
166  }
167 
172  ResultPtr getResult()
173  {
174  return _result;
175  }
176 
183  services::Status setResult(const ResultPtr& result)
184  {
185  DAAL_CHECK(result, services::ErrorNullResult)
186  _result = result;
187  _res = _result.get();
188  return services::Status();
189  }
190 
196  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
197  {
198  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
199  }
200 
201  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
202  {
203  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
204  this->_res = this->_result.get();
205  return s;
206  }
207 
208 protected:
209  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
210  {
211  return new Batch<algorithmFPType, method>(*this);
212  }
213 
214  void initialize()
215  {
216  Analysis<batch>::_ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
217  _in = &input;
218  _par = &parameter;
219  _result.reset(new ResultType());
220  }
221 
222 private:
223  ResultPtr _result;
224  ParameterType _defaultParameter;
225 };
227 } // namespace interface1
228 using interface1::BatchContainer;
229 using interface1::Batch;
230 } // namespace backward
231 } // namespace convolution2d
232 } // namespace layers
233 } // namespace neural_networks
234 } // namespace algorithms
235 } // namespace daal
236 #endif
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: convolution2d_layer_backward.h:145
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::getLayerResult
layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_backward.h:163
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::convolution2d::backward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: convolution2d_layer_backward.h:135
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: convolution2d_layer_backward.h:183
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::getLayerParameter
virtual ParameterType * getLayerParameter() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_backward.h:157
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch
Provides methods for backward 2D convolution layer computations in the batch processing mode...
Definition: convolution2d_layer_backward.h:102
daal_defines.h
daal::batch
Definition: daal_defines.h:110
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::getResult
ResultPtr getResult()
Definition: convolution2d_layer_backward.h:172
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::Batch
Batch(ParameterType &parameter)
Definition: convolution2d_layer_backward.h:125
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::getLayerInput
virtual InputType * getLayerInput() DAAL_C11_OVERRIDE
Definition: convolution2d_layer_backward.h:151
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::input
InputType input
Definition: convolution2d_layer_backward.h:112
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::convolution2d::backward::interface1::BatchContainer
Provides methods to run implementations of the of the backward 2D convolution layer This class is ass...
Definition: convolution2d_layer_backward.h:63
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::parameter
ParameterType & parameter
Definition: convolution2d_layer_backward.h:111
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: convolution2d_layer_backward.h:196
daal::algorithms::neural_networks::layers::convolution2d::backward::interface1::Batch::Batch
Batch()
Definition: convolution2d_layer_backward.h:115
daal::services::ErrorNullResult
Definition: error_indexes.h:96

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