code: def _seperate_inputs(combined, num_layers, seq_length, directions):
      hx = combined[0]
      xs = combined[1 : 1 + seq_length]
      ws = []
      bs = []
      index = 1 + seq_length
      for n in range(num_layers):
          ws.append(combined[index : index + 6])
          bs.append(combined[index + 6 : index + 12])
          index += 12
          if directions == 2:
              ws.append(combined[index : index + 6])
              bs.append(combined[index + 6 : index + 12])
              index += 12
      return hx, ws, bs, xs
  
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 3 for calling a global function with example usage: _seperate_inputs(combined, num_layers, seq_length, directions) and returns: hx,  ws,  bs,  xs