ayer.</p>
<p>Typically <cite>torch.nn</cite> layers expose a flat interface. To support a similar <em>UX</em> in Brevitas, QuantLayers
support setting attributes in a quantizer by passing keyword arguments with an appropriate prefix.
For <em>QuantWBIOL</em> layers, keyword arguments with prefix <cite>weight_</cite> are passed to the <cite>weight_quant</cite> quantizer, <cite>bias_</cite> to <cite>bias_quant</cite>,
<cite>input_</cite> to <cite>input_quant</cite>, and <cite>output_</cite> to <cite>output_qua