Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 1
The SmoothReLU function 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 numeric table of size n x p. This table can be an object of any class derived from NumericTable. |
The SmoothReLU function has the following parameters:
Parameter |
Default Value |
Description |
|
---|---|---|---|
algorithmFPType |
float |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
|
method |
defaultDense |
Performance-oriented computation method, the only method supported by the algorithm. |
The SmoothReLU function 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 |
|
---|---|---|
output |
Pointer to the numeric table of size n x p with the matrix Y. By default, the result is an object of the HomogenNumericTable class, but you can define the result as an object of any class derived from NumericTable except PackedTriangularMatrix, PackedSymmetricMatrix, and CSRNumericTable. |
C++: smoothrelu_dense_batch.cpp
Java*: SmoothReLUDenseBatch.java
Python*: smoothrelu_dense_batch.py