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

tanh_layer_backward.h
1 /* file: tanh_layer_backward.h */
2 /*******************************************************************************
3 * Copyright 2014-2018 Intel Corporation.
4 *
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9 * the related documents without Intel's prior written permission.
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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 hyperbolic tangent layer
19 // in the batch processing mode
20 //--
21 */
22 
23 #ifndef __TANH_LAYER_BACKWARD_H__
24 #define __TANH_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/tanh/tanh_layer_types.h"
31 #include "algorithms/neural_networks/layers/tanh/tanh_layer_backward_types.h"
32 
33 namespace daal
34 {
35 namespace algorithms
36 {
37 namespace neural_networks
38 {
39 namespace layers
40 {
44 namespace tanh
45 {
49 namespace backward
50 {
51 namespace interface1
52 {
68 template<typename algorithmFPType, Method method, CpuType cpu>
69 class DAAL_EXPORT BatchContainer : public AnalysisContainerIface<batch>
70 {
71 public:
77  BatchContainer(daal::services::Environment::env *daalEnv);
79  ~BatchContainer();
85  services::Status compute() DAAL_C11_OVERRIDE;
86 };
87 
105 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
106 class Batch : public layers::backward::LayerIfaceImpl
107 {
108 public:
109  typedef layers::backward::LayerIfaceImpl super;
110 
111  typedef algorithms::neural_networks::layers::tanh::backward::Input InputType;
112  typedef algorithms::neural_networks::layers::tanh::Parameter ParameterType;
113  typedef algorithms::neural_networks::layers::tanh::backward::Result ResultType;
114 
115  ParameterType &parameter;
116  InputType input;
119  Batch() : parameter(_defaultParameter)
120  {
121  initialize();
122  }
123 
129  Batch(Parameter& parameter) : parameter(parameter), _defaultParameter(parameter)
130  {
131  initialize();
132  }
133 
140  Batch(const Batch<algorithmFPType, method> &other) : super(other),
141  _defaultParameter(other.parameter), parameter(_defaultParameter), input(other.input)
142  {
143  initialize();
144  }
145 
150  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
151 
156  virtual InputType *getLayerInput() DAAL_C11_OVERRIDE { return &input; }
157 
162  virtual ParameterType *getLayerParameter() DAAL_C11_OVERRIDE { return &parameter; };
163 
168  layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
169  {
170  return _result;
171  }
172 
177  ResultPtr getResult()
178  {
179  return _result;
180  }
181 
188  services::Status setResult(const ResultPtr& result)
189  {
190  DAAL_CHECK(result, services::ErrorNullResult)
191  _result = result;
192  _res = _result.get();
193  return services::Status();
194  }
195 
201  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
202  {
203  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
204  }
205 
211  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
212  {
213  services::Status s = this->_result->template allocate<algorithmFPType>(&(this->input), &parameter, (int) method);
214  this->_res = this->_result.get();
215  return s;
216  }
217 
218 protected:
219  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
220  {
221  return new Batch<algorithmFPType, method>(*this);
222  }
223 
224  void initialize()
225  {
226  Analysis<batch>::_ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
227  _in = &input;
228  _par = &parameter;
229  _result.reset(new ResultType());
230  }
231 
232 private:
233  ResultPtr _result;
234  ParameterType _defaultParameter;
235 };
237 } // namespace interface1
238 using interface1::BatchContainer;
239 using interface1::Batch;
240 } // namespace backward
241 } // namespace tanh
242 } // namespace layers
243 } // namespace neural_networks
244 } // namespace algorithms
245 } // namespace daal
246 #endif
daal::algorithms::neural_networks::layers::tanh::backward::interface1::BatchContainer
Provides methods to run implementations of the of the backward tanh layer This class is associated wi...
Definition: tanh_layer_backward.h:69
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::tanh::backward::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: tanh_layer_backward.h:140
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: tanh_layer_backward.h:201
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::parameter
ParameterType & parameter
Definition: tanh_layer_backward.h:115
daal_defines.h
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::getLayerParameter
virtual ParameterType * getLayerParameter() DAAL_C11_OVERRIDE
Definition: tanh_layer_backward.h:162
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::getLayerResult
layers::backward::ResultPtr getLayerResult() DAAL_C11_OVERRIDE
Definition: tanh_layer_backward.h:168
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: tanh_layer_backward.h:188
daal::batch
Definition: daal_defines.h:106
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: tanh_layer_backward.h:150
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::input
InputType input
Definition: tanh_layer_backward.h:116
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::allocateResult
virtual services::Status allocateResult() DAAL_C11_OVERRIDE
Definition: tanh_layer_backward.h:211
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::Batch
Batch()
Definition: tanh_layer_backward.h:119
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::tanh::backward::interface1::Batch::getResult
ResultPtr getResult()
Definition: tanh_layer_backward.h:177
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::getLayerInput
virtual InputType * getLayerInput() DAAL_C11_OVERRIDE
Definition: tanh_layer_backward.h:156
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch::Batch
Batch(Parameter &parameter)
Definition: tanh_layer_backward.h:129
daal::algorithms::neural_networks::layers::tanh::backward::interface1::Batch
Computes the results of the backward hyperbolic tangent in the batch processing mode.
Definition: tanh_layer_backward.h:106
daal::services::ErrorNullResult
Definition: error_indexes.h:96

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