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

List of all members

Provides methods to run implementations of the backward average 2D pooling layer. This class is associated with the backward::Batch class and supports the method of backward average 2D pooling layer computation in the batch processing mode. More...

Class Declaration

template<typename algorithmFPType, Method method, CpuType cpu>
class daal::algorithms::neural_networks::layers::average_pooling2d::backward::interface1::BatchContainer< algorithmFPType, method, cpu >

Template Parameters
algorithmFPTypeData type to use in intermediate computations of backward average 2D pooling layer, double or float
methodComputation method of the layer, average_pooling2d::Method
cpuVersion of the cpu-specific implementation of the layer, daal::CpuType

Constructor & Destructor Documentation

◆ BatchContainer()

Constructs a container for the backward average 2D pooling layer with a specified environment in the batch processing mode

Parameters
[in]daalEnvEnvironment object

◆ ~BatchContainer()

Default destructor

Member Function Documentation

◆ compute()

services::Status compute ( )
virtual

Computes the result of the backward average 2D pooling layer in the batch processing mode

Returns
Status of computations

Implements AlgorithmContainer< mode >.

◆ setupCompute()

services::Status setupCompute ( )
virtual

Setups internal datastructures for compute function.

Reimplemented from AlgorithmContainerImpl< mode >.


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

For more complete information about compiler optimizations, see our Optimization Notice.