C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

prelu_layer_backward.h
1 /* file: prelu_layer_backward.h */
2 /*******************************************************************************
3 * Copyright 2014-2018 Intel Corporation.
4 *
5 * This software and the related documents are Intel copyrighted materials, and
6 * your use of them is governed by the express license under which they were
7 * provided to you (License). Unless the License provides otherwise, you may not
8 * use, modify, copy, publish, distribute, disclose or transmit this software or
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 parametric rectified linear unit (pReLU) layer
19 // in the batch processing mode
20 //--
21 */
22 
23 #ifndef __PRELU_LAYER_BACKWARD_H__
24 #define __PRELU_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/prelu/prelu_layer_types.h"
31 #include "algorithms/neural_networks/layers/prelu/prelu_layer_backward_types.h"
32 
33 namespace daal
34 {
35 namespace algorithms
36 {
37 namespace neural_networks
38 {
39 namespace layers
40 {
44 namespace prelu
45 {
46 namespace backward
47 {
48 namespace interface1
49 {
66 template<typename algorithmFPType, Method method, CpuType cpu>
67 class DAAL_EXPORT BatchContainer : public AnalysisContainerIface<batch>
68 {
69 public:
75  BatchContainer(daal::services::Environment::env *daalEnv);
77  ~BatchContainer();
83  services::Status compute() DAAL_C11_OVERRIDE;
84 };
85 
103 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
104 class Batch : public layers::backward::LayerIfaceImpl
105 {
106 public:
107  typedef layers::backward::LayerIfaceImpl super;
108 
109  typedef algorithms::neural_networks::layers::prelu::backward::Input InputType;
110  typedef algorithms::neural_networks::layers::prelu::Parameter ParameterType;
111  typedef algorithms::neural_networks::layers::prelu::backward::Result ResultType;
112 
113  ParameterType &parameter;
114  InputType input;
117  Batch() : parameter(_defaultParameter)
118  {
119  initialize();
120  };
121 
127  Batch(Parameter& parameter) : parameter(parameter), _defaultParameter(parameter)
128  {
129  initialize();
130  }
131 
138  Batch(const Batch<algorithmFPType, method> &other) : super(other),
139  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
140  {
141  initialize();
142  }
143 
148  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
149 
154  virtual InputType *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
155 
160  virtual ParameterType *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
161 
166  layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
167  {
168  return _result;
169  }
170 
175  ResultPtr getResult()
176  {
177  return _result;
178  }
179 
186  services::Status setResult(const ResultPtr& result)
187  {
188  DAAL_CHECK(result, services::ErrorNullResult)
189  _result = result;
190  _res = _result.get();
191  return services::Status();
192  }
193 
199  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
200  {
201  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
202  }
203 
209  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
210  {
211  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
212  this->_res = this->_result.get();
213  return s;
214  }
215 
216 protected:
217  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
218  {
219  return new Batch<algorithmFPType, method>(*this);
220  }
221 
222  void initialize()
223  {
224  Analysis<batch>::_ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
225  _in = &input;
226  _par = &parameter;
227  _result.reset(new ResultType());
228  }
229 
230 private:
231  ResultPtr _result;
232  ParameterType _defaultParameter;
233 };
235 } // namespace interface1
236 using interface1::BatchContainer;
237 using interface1::Batch;
238 } // namespace backward
239 } // namespace prelu
240 } // namespace layers
241 } // namespace neural_networks
242 } // namespace algorithms
243 } // namespace daal
244 #endif
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::getLayerInput
virtual InputType * getLayerInput() DAAL_C11_OVERRIDE
Definition: prelu_layer_backward.h:154
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::getResult
ResultPtr getResult()
Definition: prelu_layer_backward.h:175
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::prelu::backward::interface1::BatchContainer
Provides methods to run implementations of the of the backward prelu layer This class is associated w...
Definition: prelu_layer_backward.h:67
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::Batch
Batch()
Default constructor.
Definition: prelu_layer_backward.h:117
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::input
InputType input
Definition: prelu_layer_backward.h:114
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: prelu_layer_backward.h:186
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::parameter
ParameterType & parameter
Definition: prelu_layer_backward.h:113
daal_defines.h
daal::batch
Definition: daal_defines.h:106
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::allocateResult
virtual services::Status allocateResult() DAAL_C11_OVERRIDE
Definition: prelu_layer_backward.h:209
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::Batch
Batch(Parameter &parameter)
Definition: prelu_layer_backward.h:127
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch
Provides methods for the backward prelu layer in the batch processing mode.
Definition: prelu_layer_backward.h:104
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: prelu_layer_backward.h:138
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: prelu_layer_backward.h:199
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::getLayerResult
layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: prelu_layer_backward.h:166
daal::algorithms::neural_networks::layers::prelu::backward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: prelu_layer_backward.h:148
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::prelu::backward::interface1::Batch::getLayerParameter
virtual ParameterType * getLayerParameter() DAAL_C11_OVERRIDE
Definition: prelu_layer_backward.h:160
daal::services::ErrorNullResult
Definition: error_indexes.h:96

For more complete information about compiler optimizations, see our Optimization Notice.