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

neural_networks_training.h
1 /* file: neural_networks_training.h */
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41 
42 /*
43 //++
44 // Implementation of the interface for neural network model-based training
45 // in the batch processing mode
46 //--
47 */
48 
49 #ifndef __NEURAL_NETWORKS_TRAINING_H__
50 #define __NEURAL_NETWORKS_TRAINING_H__
51 
52 #include "algorithms/algorithm.h"
53 
54 #include "services/daal_defines.h"
55 #include "algorithms/neural_networks/neural_networks_types.h"
56 #include "algorithms/neural_networks/neural_networks_training_types.h"
57 #include "algorithms/neural_networks/neural_networks_training_model.h"
58 #include "algorithms/neural_networks/layers/layer.h"
59 
60 namespace daal
61 {
62 namespace algorithms
63 {
67 namespace neural_networks
68 {
69 namespace training
70 {
71 namespace interface1
72 {
82 template<typename algorithmFPType, Method method, CpuType cpu>
83 class DAAL_EXPORT BatchContainer : public TrainingContainerIface<batch>
84 {
85 public:
91  BatchContainer(daal::services::Environment::env *daalEnv);
93  ~BatchContainer();
97  services::Status compute() DAAL_C11_OVERRIDE;
98  services::Status setupCompute() DAAL_C11_OVERRIDE;
99  services::Status resetCompute() DAAL_C11_OVERRIDE;
100 };
101 
117 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
118 class Batch : public daal::algorithms::Training<batch>
119 {
120 public:
122  Batch(services::SharedPtr<optimization_solver::iterative_solver::Batch > optimizationSolver_) : parameter(optimizationSolver_)
123  {
124  initialize();
125  };
126 
132  Batch(const Batch<algorithmFPType, method> &other) : parameter(other.parameter), input(other.input)
133  {
134  initialize();
135  }
136 
137  virtual ~Batch() {}
138 
146  services::Status initialize(const services::Collection<size_t> &sampleSize, const training::Topology &topology)
147  {
148  ResultPtr result = getResult();
149  if (!result || !result->get(neural_networks::training::model))
150  {
151  return services::Status(services::ErrorNullModel);
152  }
153  _result->get(neural_networks::training::model)->initialize<algorithmFPType>(sampleSize, topology, parameter);
154  return services::Status();
155  }
156 
161  ResultPtr getResult()
162  {
163  return _result;
164  }
165 
172  services::Status setResult(const ResultPtr& res)
173  {
174  DAAL_CHECK(res, services::ErrorNullResult)
175  _result = res;
176  _res = _result.get();
177  return services::Status();
178  }
179 
185  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
186  {
187  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
188  }
189 
194  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
195 
196  Input input;
197  Parameter parameter;
199 protected:
200  void initialize()
201  {
202  Training<batch>::_ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
203  _in = &input;
204  _par = &parameter;
205  _result.reset(new Result());
206  }
207 
208  virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
209  {
210  return new Batch<algorithmFPType, method>(*this);
211  }
212 
213  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
214  {
215  services::Status s = _result->allocate<algorithmFPType>(&input, &parameter, (int) method);
216  _res = _result.get();
217  return s;
218  }
219 
220 private:
221  ResultPtr _result;
222 };
224 } // namespace interface1
225 using interface1::Batch;
226 using interface1::BatchContainer;
227 
228 } // namespace training
229 } // namespace neural_networks
230 } // namespace algorithms
231 } // namespace daal
232 #endif
daal::algorithms::neural_networks::training::interface1::Batch::input
Input input
Definition: neural_networks_training.h:196
daal::algorithms::neural_networks::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: neural_networks_training.h:185
daal::algorithms::neural_networks::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: neural_networks_training.h:132
daal
Definition: algorithm_base_common.h:57
daal::algorithms::neural_networks::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: neural_networks_training.h:194
daal::algorithms::neural_networks::training::interface1::Batch::Batch
Batch(services::SharedPtr< optimization_solver::iterative_solver::Batch > optimizationSolver_)
Definition: neural_networks_training.h:122
daal::algorithms::neural_networks::training::interface1::BatchContainer
Class containing methods to train neural network model using algorithmFPType precision arithmetic...
Definition: neural_networks_training.h:83
daal::algorithms::neural_networks::training::interface1::Batch
Provides methods for neural network model-based training in the batch processing mode.
Definition: neural_networks_training.h:118
daal::algorithms::neural_networks::training::interface1::Input
Input objects of the neural network training algorithm.
Definition: neural_networks_training_input.h:126
daal_defines.h
daal::batch
Definition: daal_defines.h:131
daal::algorithms::neural_networks::training::interface1::Parameter
Class representing the parameters of neural network.
Definition: neural_networks_training_model.h:85
daal::algorithms::neural_networks::training::interface1::Batch::parameter
Parameter parameter
Definition: neural_networks_training.h:197
daal::algorithms::neural_networks::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: neural_networks_training.h:161
daal::algorithms::neural_networks::training::interface1::Result
Provides methods to access result obtained with the compute() method of the neural network training a...
Definition: neural_networks_training_result.h:91
daal::services::ErrorNullModel
Definition: error_indexes.h:109
daal::algorithms::neural_networks::training::interface1::Batch::initialize
services::Status initialize(const services::Collection< size_t > &sampleSize, const training::Topology &topology)
Definition: neural_networks_training.h:146
daal::algorithms::neural_networks::training::model
Definition: neural_networks_training_result.h:78
daal::algorithms::neural_networks::training::interface1::Batch::setResult
services::Status setResult(const ResultPtr &res)
Definition: neural_networks_training.h:172
daal::services::ErrorNullResult
Definition: error_indexes.h:122
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76
daal::algorithms::Training
Provides methods to train models that depend on the data provided. For example, these methods enable ...
Definition: training.h:86

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