code: def __init__(self, n_layers, states, lengths, **kwargs):
      n_step_rnn.BaseNStepRNN.__init__(
          self,
          n_layers,
          states,
          lengths,
          rnn_dir="bi",
          rnn_mode="gru",
          **kwargs,
      )
  
imports: import numpy
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer.functions.activation import sigmoid
  from chainer.functions.activation import tanh
  from chainer.functions.array import concat
  from chainer.functions.array import split_axis
  from chainer.functions.connection import linear
  from chainer.functions.rnn import n_step_rnn
  from chainer.utils import argument
  from chainer import variable
  import chainerx
label_desc: Use image node_id 1 to create a new NStepBiGRU object from inherited base classes: n_step_rnn with example: obj = NStepBiGRU(n_layers, states, lengths)