Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 4
A Gaussian initializer is an initializer algorithm to initialize a p-dimensional tensor X ∈ R n1 x ... x np with Gaussian random numbers having mean a and standard deviation σ, where a, σ ∈ R and σ > 0.
In addition to common parameters of the initializer interface, a Gaussian initializer 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. |
|
a |
0 |
The mean a. |
|
sigma |
0.01 |
The standard deviation σ. |