code: def get_qlstm_weight(mod: nn.Module) -> List[torch.Tensor]:
      res = []
      for weight_value in mod._all_weight_values:  # type: ignore[union-attr]
          res.append(
              weight_value.param.__getstate__()[0][4][0].__getstate__()[
                  0
              ][0]
          )
          res.append(
              weight_value.param.__getstate__()[0][4][1].__getstate__()[
                  0
              ][0]
          )
      return res
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch.ao.nn.quantized.dynamic
  import torch.ao.nn.quantized
  import torch.ao.nn.intrinsic.qat
  import torch.ao.nn.qat
  import torch.ao.nn.intrinsic
  import torch.ao.nn.intrinsic.quantized
  from torch.fx import GraphModule
  from torch.fx.graph import Node
  from .utils import get_target_type_str, getattr_from_fqn, return_first_non_observer_node
  from .ns_types import NSSingleResultValuesType, NSSingleResultType
  from typing import List, Optional, Dict, Callable
label_desc: Use image node_id 5 for calling a global function with example usage: get_qlstm_weight(mod) and returns: res