class_docstr: PalettizationCustomConversionBase is the base class for palettized model conversion. It implements the
  get_finalized_weights method which returns the palettized weights from ``LUT`` and ``indices``
  post-palettization.
code: def get_finalized_weights(cls, observed_module: _nn.Module):
      return observed_module.weight_fake_quant.forward(
          observed_module.weight.detach()
      )
  
imports: import torch.nn
  import torch.nn.qat
  from ._supported_modules import Conv1d, Embedding, LayerNorm, MultiheadAttention
label_desc: Use image node_id 3 for calling the PalettizationCustomConversionBase obj's underlying member method code with example usage: obj.get_finalized_weights(cls, observed_module) and returns: observed_module