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

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BatchContainer< algorithmFPType, method, cpu > Class Template Reference

Provides methods to run implementations of the forward fully-connected layer. This class is associated with the daal::algorithms::neural_networks::layers::fullyconnected::forward::Batch class and supports the method of forward fully-connected layer computation in the batch processing mode. More...

Class Declaration

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

Template Parameters
algorithmFPTypeData type to use in intermediate computations of forward fully-connected layer, double or float
methodComputation method of the layer, daal::algorithms::neural_networks::layers::fullyconnected::Method
cpuVersion of the cpu-specific implementation of the layer, daal::CpuType

Constructor & Destructor Documentation

◆ BatchContainer()

Constructs a container for the forward fully-connected layer with a specified environment in the batch processing mode

Parameters
[in]daalEnvEnvironment object

◆ ~BatchContainer()

Default destructor

Member Function Documentation

◆ allocateInput()

virtual services::Status allocateInput ( )
inlinevirtual

Allocates weights and biases tensors if they exist

Reimplemented from LayerContainerIfaceImpl.

◆ compute()

services::Status compute ( )
virtual

Computes the result of the forward fully-connected layer in the batch processing mode

Returns
Status of computations

Implements AlgorithmContainer< mode >.

◆ setupCompute()

services::Status setupCompute ( )
virtual

Returns a serialization tag, a unique identifier of this class used in serialization

Returns
Serialization tag

Reimplemented from LayerContainerIfaceImpl.


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

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