C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4

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Input parameters for the layer algorithm More...

Class Declaration

Member Function Documentation

virtual services::Status addInputGradient ( const data_management::TensorPtr &  igTensor,
size_t  index 
)
virtual

Adds tensor with input gradient to the input object of the layer algorithm

Parameters
[in]igTensorTensor with input gradient
[in]indexIndex of the tensor with input gradient
Returns
Status of computations
services::Status check ( const daal::algorithms::Parameter *  par,
int  method 
) const

Checks an input object for the layer algorithm

Parameters
[in]parParameter of algorithm
[in]methodComputation method of the algorithm
Returns
Status of computations
data_management::TensorPtr get ( InputId  id) const

Returns input Tensor of the layer algorithm

Parameters
[in]idIdentifier of the input tensor
Returns
Input tensor that corresponds to the given identifier
LayerDataPtr get ( InputLayerDataId  id) const

Returns input Tensor of the layer algorithm

Parameters
[in]idIdentifier of the input tensor
Returns
Input tensor that corresponds to the given identifier
virtual LayerInputLayout getLayout ( ) const
virtual

Returns the layout of the input object for the layer algorithm

Returns
Layout of the input object for the layer algorithm
void set ( InputId  id,
const data_management::TensorPtr &  ptr 
)

Sets input for the layer algorithm

Parameters
[in]idIdentifier of the input object
[in]ptrPointer to the object
void set ( InputLayerDataId  id,
const LayerDataPtr &  ptr 
)

Sets input for the layer algorithm

Parameters
[in]idIdentifier of the input object
[in]ptrPointer to the object
virtual services::Status setInputFromForward ( forward::ResultPtr  result)
virtual

Sets input structure retrieved from the result of the forward layer

Parameters
[in]resultResult of the forward layer
Returns
Status of computations

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

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