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

List of all members

Provides methods for forward 2D transposed convolution 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::transposed_conv2d::forward::interface1::Batch< algorithmFPType, method >

Template Parameters
algorithmFPTypeData type to use in intermediate computations of forward 2D transposed convolution layer, double or float
methodComputation method of the layer, Method
Enumerations
  • Method Computation methods for the forward 2D transposed convolution layer
  • LayerDataId Identifiers of results of the forward 2D transposed convolution layer
References

Constructor & Destructor Documentation

◆ Batch() [1/3]

Batch ( )
inline

Default constructor

◆ Batch() [2/3]

Batch ( ParameterType parameter)
inline

Constructs a forward 2D transposed convolution 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 forward 2D transposed convolution layer by copying input objects and parameters of another forward 2D transposed convolution 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 2D transposed convolution layer with a copy of input objects and parameters of this 2D transposed convolution layer

Returns
Pointer to the newly allocated layer

◆ getLayerInput()

virtual InputType* getLayerInput ( )
inlinevirtual

Returns the structure that contains the input objects of the forward 2D transposed convolution layer

Returns
Structure that contains the input objects of the forward 2D transposed convolution layer

Implements LayerIface.

◆ getLayerParameter()

virtual ParameterType* getLayerParameter ( )
inlinevirtual

Returns the structure that contains parameters of the forward 2D transposed convolution layer

Returns
Structure that contains parameters of the forward 2D transposed convolution layer

Implements LayerIface.

◆ getLayerResult()

layers::forward::ResultPtr getLayerResult ( )
inlinevirtual

Returns the structure that contains results of 2D transposed convolution layer

Returns
Structure that contains results of 2D transposed convolution layer

Implements LayerIface.

◆ getMethod()

virtual int getMethod ( ) const
inlinevirtual

Returns method of the layer

Returns
Method of the layer

Implements AlgorithmIface.

◆ getResult()

ResultPtr getResult ( )
inline

Returns the structure that contains results of 2D transposed convolution layer

Returns
Structure that contains results of 2D transposed convolution layer

◆ setResult()

services::Status setResult ( const ResultPtr result)
inline

Registers user-allocated memory to store results of 2D transposed convolution layer

Parameters
[in]resultStructure to store results of 2D transposed convolution 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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