tatypes outside of float32 at training time have not been tested. That includes training on TPU / Pytorch-XLA.
Do the math in terms of which reduced-precision integers can reasonably fit in a reduced-precision
floating-point format at training time, and use at your own risk.</p>
</section>


                </article>
              
              
              
              
              
                <footer class="prev-next-footer d-print-none">
                  
<div class="prev-next-area">
    <a