Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 5
Forward ELU layer accepts the input described below. Pass the Input ID as a parameter to the methods that provide the input for your algorithm. For more details, see Algorithms.
Input ID |
Input |
|
---|---|---|
data |
Pointer to the tensor
X of size |
Forward ELU layer has the following parameters:
Parameter |
Default Value |
Description |
|
---|---|---|---|
algorithmFPType |
float |
The floating-point type used for intermediate computations within algorithm. Can be either float or double. |
|
method |
defaultDense |
The default performance-oriented computation method, the only method supported by the algorithm. |
|
alpha |
1.0 |
Parameter α of the function. |
Forward ELU 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 tensor
Y of size |
|
resultForBackward |
Collection of data needed for the backward ELU layer. |
|
Element ID |
Element |
|
auxData |
Pointer to the tensor of size |
|
auxIntermediateValue |
Pointer to the tensor of size |