<p>Standard ONNX (<em>experimental</em>) - for acceleration with e.g.
onnxruntime, or any other ONNX-compliant toolchain.</p></li>
<li><p>Pytorch’s <em>quantized.functional</em> operators (<em>experimental</em>) - for
acceleration through Pytorch itself, or any additional downstream
toolchains supported by Pytorch (e.g. TVM).</p></li>
</ul>
<p>Because Brevitas implements a super-set of layers and datatypes
supported by various downstream toolchains and hardware platforms, the
result is that each export fl