thod of the BatchNormalization bijector, which is used in
the log-likelihood computation of data samples, implements the normalization
procedure (shift-and-scale) using the mean and standard deviation of the
current minibatch.</p>
<p>Conversely, the <code>forward()</code> method of the bijector de-normalizes samples (e.g.
<code>X*std(Y) + mean(Y)</code> with the running-average mean and standard deviation
computed at training-time. De-normalization is useful for sampling.</p>
<p>During training time, BatchN