C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

List of all members

Provides methods for backward local contrast normalization layer computations in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class daal::algorithms::neural_networks::layers::lcn::backward::interface1::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations of backward local contrast normalization layer, double or float
methodComputation method of the layer, Method
Enumerations
  • Method Computation methods for the backward local contrast normalization layer
  • LayerDataId Identifiers of input objects for the backward local contrast normalization layer
References

Constructor & Destructor Documentation

◆ Batch() [1/3]

Batch ( )
inline

Default constructor

◆ Batch() [2/3]

Batch ( ParameterType parameter)
inline

Constructs a backward local contrast normalization layer in the batch processing mode and initializes its parameter with the provided parameter

Parameters
[in]parameterParameter to initialize the parameter of the layer

◆ Batch() [3/3]

Batch ( const Batch< algorithmFPType, method > &  other)
inline

Constructs a backward local contrast normalization layer by copying input objects and parameters of another local contrast normalization layer

Parameters
[in]otherA layer to be used as the source to initialize the input objects and parameters of this layer

Member Function Documentation

◆ allocateResult()

virtual services::Status allocateResult ( )
inlinevirtual

Allocates memory buffers needed for the computations

Implements LayerIface.

◆ clone()

services::SharedPtr<Batch<algorithmFPType, method> > clone ( ) const
inline

Returns a pointer to the newly allocated local contrast normalization layer with a copy of input objects and parameters of this local contrast normalization layer

Returns
Pointer to the newly allocated layer

◆ getLayerInput()

virtual InputType* getLayerInput ( )
inlinevirtual

Returns the structure that contains input objects of local contrast normalization layer

Returns
Structure that contains input objects of local contrast normalization layer

Implements LayerIface.

◆ getLayerParameter()

virtual ParameterType* getLayerParameter ( )
inlinevirtual

Returns the structure that contains parameters of the local contrast normalization layer

Returns
Structure that contains parameters of the local contrast normalization layer

Implements LayerIface.

◆ getLayerResult()

layers::backward::ResultPtr getLayerResult ( )
inlinevirtual

Returns the structure that contains results of local contrast normalization layer

Returns
Structure that contains results of local contrast normalization layer

Implements LayerIface.

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns computation method of the layer

Returns
Computation method of the layer

Implements AlgorithmIface.

◆ getResult()

ResultPtr getResult ( )
inline

Returns the structure that contains results of local contrast normalization layer

Returns
Structure that contains results of local contrast normalization layer

◆ setResult()

services::Status setResult ( const ResultPtr result)
inline

Registers user-allocated memory to store results of local contrast normalization layer

Parameters
[in]resultStructure to store results of local contrast normalization layer
Returns
Status of computations

Member Data Documentation

◆ input

InputType input

Input objects of the layer

◆ parameter

ParameterType& parameter

Parameters of the layer


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

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