to be enabled (which it is by default).</p>
<p><cite>BREVITAS_IGNORE_MISSING_KEYS</cite> (Default: 0) - <cite>brevitas.config.IGNORE_MISSING_KEYS</cite>
Ignore “missing keys” errors typically generated whenever a pretrained floating-point is loaded on top of a corresponding Brevitas
quantized model that internally contains learned <cite>torch.nn.Parameter</cite> (which happens by default for quantized activations).
This is a better alternative to setting <cite>model.load_state_dict(…, strict=False)</c