cern. To minimize friction with adoption then,
Brevitas is designed to remain functional as much as possible under partially specified information.
With the exception of <cite>TruncAvgPool2d</cite>, a <cite>QuantLayer</cite> is not expected to receive a <cite>QuantTensor</cite> as input
(altough doing so enables more scenarios), nor it returns one by default (i.e. <cite>return_quant_tensor=False</cite> by default).
Specifically, The output of a QuantLayer is always in de-quantized format
(whether wrapped in