as?</strong></p>
<p><strong>A:</strong> Quantization in Pytorch is designed to target specific backends
supported by PyTorch itself (currently FBGEMM and qnnpack).</p>
<p>Brevitas is designed as a platform to implement novel quantization
algorithms to target a variety of hardware backends adhering to a loose
set of assumptions (i.e. uniform affine quantization).</p>
<p><strong>Q: How can I train X/Y and run it on hardware W/Z? I can’t find any
documentation.</strong></p>
<p><strong>A:</strong> Brevitas is