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

List of all members
Input Class Reference

Input parameters for the backward split layer More...

Additional Inherited Members

- Static Protected Member Functions inherited from Argument
static data_management::DataCollectionPtr & getStorage (Argument &a)
 
static const data_management::DataCollectionPtr & getStorage (const Argument &a)
 

Class Declaration

Member Function Documentation

◆ addInputGradient()

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

Adds tensor with input gradient to the input object of the backward split layer

Parameters
[in]igTensorTensor with input gradient
[in]indexIndex of the tensor with input gradient
Returns
Status of computations

Reimplemented from Input.

◆ check()

services::Status check ( const daal::algorithms::Parameter par,
int  method 
) const
virtual

Checks an input object of the backward split layer

Parameters
[in]parAlgorithm parameter
[in]methodComputation method
Returns
Status of computations

Reimplemented from Input.

◆ get() [1/2]

data_management::TensorPtr get ( InputLayerDataId  id,
size_t  index 
) const

Returns a tensor with a given index from the collection of input tensors

Parameters
[in]idIdentifier of the collection of input tensors
[in]indexIndex of the tensor to be returned
Returns
Pointer to the table with the input tensor

◆ get() [2/2]

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

◆ getLayout()

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

Reimplemented from Input.

◆ set() [1/2]

void set ( InputLayerDataId  id,
const data_management::TensorPtr &  value,
size_t  index 
)

Sets an input object for the backward split layer

Parameters
[in]idIdentifier of the input object
[in]valuePointer to the input object
[in]indexIndex of the tensor to be set

◆ set() [2/2]

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

◆ setInputFromForward()

virtual services::Status setInputFromForward ( layers::forward::ResultPtr  result)
virtual

Sets input structure retrieved from the result of the forward layer

Parameters
[in]resultResult of the forward layer

Reimplemented from Input.


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

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