tor with them name of arguments required to build other
attributes of the same Injectors. When applied to Brevitas then, the idea is to throw together a bunch of components
appropriately chosen from <cite>brevitas.core</cite> as attributes of an Injector, and have the DI library automatically
assemble them together. A quantizer then is an Injector with a <cite>tensor_quant</cite> attribute.
A <cite>tensor_quant</cite> object is expected to be a torch <em>Module</em> (either a <cite>torch.nn.Module</cite> or