torch.Tensor that
had been previously quantized and is now in dequantized format. The <cite>QuantTensor</cite> is marked as non-valid because it doesn’t carry enough information
to derive its quantized representation back. A valid QuantTensor carries <em>scale</em>, <em>zero-point</em>, <em>bit-width</em>, <em>sign</em>,
and whether it was generated in training or inference mode.</p>
<p>The arithmetic of QuantTensors implments a generalized version of fixed-point arithmetic, with the main assumption
being