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

List of all members
Batch< algorithmFPType, method > Class Template Reference

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
Deprecated:
This item will be removed in a future release.

Constructor & Destructor Documentation

DAAL_DEPRECATED Batch ( )
inline

Default constructor

Deprecated:
This item will be removed in a future release.
DAAL_DEPRECATED 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
Deprecated:
This item will be removed in a future release.
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
Deprecated:
This item will be removed in a future release.

Member Function Documentation

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
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
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
layers::forward::ResultPtr getLayerResult ( )
inline

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

Returns
Structure that contains results of 2D transposed convolution layer
virtual int getMethod ( ) const
inlinevirtual

Returns method of the layer

Returns
Method of the layer
ResultPtr getResult ( )
inline

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

Returns
Structure that contains results of 2D transposed convolution layer
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

InputType input

Input objects of the layer

ParameterType& parameter

Parameters of the layer


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

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