chainer.functions.gaussian

chainer.functions.gaussian(mean, ln_var)

Gaussian sampling function.

This function takes a mean \(\mu\) and the logarithm of a variance \(\log(\sigma^2)\) as inputs and outputs a sample drawn from a Gaussian distribution \(N(\mu, \sigma)\).

The inputs must have the same shape.

Parameters:

• mean (Variable) – Input variable representing the mean \(\mu\).
• ln_var (Variable) – Input variable representing the logarithm of a variance \(\log(\sigma^2)\).

Returns:

Output variable with the shape of mean and/or ln_var.

Return type:

Variable