code: def set_weight_bias(
      self,
      weight: torch.Tensor,
      bias: Optional[torch.Tensor],
      row_block_size: Optional[int],
      col_block_size: Optional[int],
  ) -> None:
      assert row_block_size is not None and col_block_size is not None
      self._packed_params = torch.ops.sparse.qlinear_prepack(
          weight, bias, row_block_size, col_block_size
      )
  
imports: from typing import Optional
  import torch
  from torch.ao.nn.quantized.modules.utils import _quantize_weight, _hide_packed_params_repr
label_desc: Use image node_id 3 for calling the LinearPackedParams obj's underlying member method code with example usage: obj.set_weight_bias(weight, bias, row_block_size, col_block_size) without return types