Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 1

Batch Processing

Layer Input

The backward loss layer accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.

Input ID

Input

inputGradient

Pointer to the tensor that stores the input gradient computed on the preceding layer. This input can be an object of any class derived from Tensor.

inputFromForward

Collection of data needed for the backward loss layer.

Note

The inputGradient field stores a null pointer because there is no input gradient on the last layer.

Layer Output

The backward loss layer calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.

Result ID

Result

gradient

Pointer to the tensor that stores the result of the backward loss layer. This input can be an object of any class derived from Tensor.

See Also