C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

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Distributed< step2Master, algorithmFPType, method > Class Template Reference

Provides methods for neural network model-based training in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType, Method method>
class daal::algorithms::neural_networks::training::interface1::Distributed< step2Master, algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations for neural network model-based training, double or float
methodNeural network training method, training::Method
Enumerations
References
Deprecated:
This item will be removed in a future release.

Constructor & Destructor Documentation

DAAL_DEPRECATED Distributed ( const services::SharedPtr< optimization_solver::iterative_solver::Batch > &  optimizationSolver_)
inline
Deprecated:
This item will be removed in a future release.
Distributed ( const Distributed< step2Master, algorithmFPType, method > &  other)
inline

Constructs neural network by copying input objects and parameters of another neural network

Parameters
[in]otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm
Deprecated:
This item will be removed in a future release.
virtual ~Distributed ( )
inlinevirtual
Deprecated:
This item will be removed in a future release.

Member Function Documentation

DAAL_DEPRECATED services::Status allocatePartialResult ( )
inlineprotected
Deprecated:
This item will be removed in a future release.
virtual DAAL_DEPRECATED_VIRTUAL services::Status allocateResult ( )
inlineprotectedvirtual
Deprecated:
This item will be removed in a future release.
DAAL_DEPRECATED services::SharedPtr<Distributed<step2Master, algorithmFPType, method> > clone ( ) const
inline

Returns a pointer to the newly allocated neural network with a copy of input objects and parameters of this neural network

Returns
Pointer to the newly allocated layer
Deprecated:
This item will be removed in a future release.
virtual DAAL_DEPRECATED_VIRTUAL Distributed<step2Master, algorithmFPType, method>* cloneImpl ( ) const
inlineprotectedvirtual
Deprecated:
This item will be removed in a future release.
virtual DAAL_DEPRECATED_VIRTUAL int getMethod ( ) const
inlinevirtual

Returns method of the algorithm

Returns
Method of the algorithm
Deprecated:
This item will be removed in a future release.
DAAL_DEPRECATED DistributedPartialResultPtr getPartialResult ( )
inline

Returns structure that contains computed partial results of the neural network algorithm

Returns
Structure that contains partial results of the neural network algorithm
Deprecated:
This item will be removed in a future release.
ResultPtr getResult ( )
inline

Returns the structure that contains the results of the neural network algorithm

Returns
Structure that contains the results of the neural network algorithm
Deprecated:
This item will be removed in a future release.
DAAL_DEPRECATED services::Status initialize ( const services::Collection< size_t > &  dataSize,
const training::Topology &  topology 
)
inline

Initializes the neural network topology

Parameters
[in]dataSizeCollection of sizes of each dimension of input data tensor
[in]topologyNeural network topology
Returns
Status of computations
Deprecated:
This item will be removed in a future release.
void initialize ( )
inlineprotected
Deprecated:
This item will be removed in a future release.
virtual DAAL_DEPRECATED_VIRTUAL services::Status initializePartialResult ( )
inlineprotectedvirtual
Deprecated:
This item will be removed in a future release.
DAAL_DEPRECATED services::Status setPartialResult ( const DistributedPartialResultPtr &  partialResult)
inline

Registers user-allocated memory to store partial results of the neural network algorithm

Parameters
[in]partialResultStructure for storing partial results of the neural network algorithm
Returns
Status of computations
Deprecated:
This item will be removed in a future release.

Member Data Documentation

Input data structure

ParameterType parameter

Training parameters


The documentation for this class was generated from the following file:

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