rn a shared
step size based on the mean acceptance probability across all chains. This
can be useful if you don't have a lot of steps to adapt and want to average
away the noise.</p></li>
<li><p>Step size has shape <code>[C1, 1]</code> or <code>[C1, S]</code>, the <code>log_accept_prob</code> will be
averaged across its <code>C0</code> dimension. This means that you will learn a shared
step size based on the mean acceptance probability across chains that share
the coordinate across the <code>C1</code> dimen