Developer Guide for Intel® Data Analytics Acceleration Library 2018 Update 2
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. |
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. |