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

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BatchContainer< algorithmFPType, defaultDense, cpu > Class Template Reference

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

Class Declaration

template<typename algorithmFPType, CpuType cpu>
class daal::algorithms::neural_networks::layers::spatial_average_pooling2d::backward::interface1::BatchContainer< algorithmFPType, defaultDense, cpu >

Template Parameters
algorithmFPTypeData type to use in intermediate computations of backward spatial pyramid average 2D pooling layer, double or float
methodComputation method of the layer, spatial_average_pooling2d::Method
cpuVersion of the cpu-specific implementation of the layer, daal::CpuType
Deprecated:
This item will be removed in a future release.

Constructor & Destructor Documentation

DAAL_DEPRECATED BatchContainer ( daal::services::Environment::env *  daalEnv)

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

Parameters
[in]daalEnvEnvironment object
Deprecated:
This item will be removed in a future release.
DAAL_DEPRECATED ~BatchContainer ( )

Default destructor

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

Member Function Documentation

services::Status compute ( )

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

Returns
Status of computations

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

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