code: def all_weights(self):
      return [
          [getattr(self, weight) for weight in weights]
          for weights in self._all_weights
      ]
  
imports: import math
  import torch
  import warnings
  import itertools
  import numbers
  from torch import nn
  from torch.nn import Parameter
  from torch.nn.utils.rnn import PackedSequence
  from csrc.pytorch.pytorch_quantization import tensor_quant
  from csrc.pytorch.pytorch_quantization.nn._functions import quant_rnn
  from .None import _utils
label_desc: Use image node_id 9 for calling the QuantRNNBase obj's underlying member method code with example usage: obj.all_weights() and returns: unknown