Developer Guide for Intel® Data Analytics Acceleration Library 2018 Update 3

Batch Processing

Layer Input

The forward 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

data

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

groundTruth

Pointer to the tensor that stores the ground truth data for the forward loss layer. This input can be an object of any class derived from Tensor.

Layer Output

The forward 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

value

Pointer to the one-dimensional tensor of size 1 that stores the result of the forward loss layer. This input can be an object of any class derived from Tensor.

resultForBackward

Collection of data needed for the backward loss layer.

See Also