code: def forward_chainerx(self, inputs):
      h, c, ws, bs, xs = self.process_input(inputs)
      out = chainerx.n_step_lstm(self.n_layers, h, c, ws, bs, xs)
      rets = []
      rets.append(out[0])
      rets.append(out[1])
      for i in range(len(out[2])):
          rets.append(out[2][i])
      return tuple(rets)
  
imports: import chainer
  import chainerx
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 4 for calling the TestNStepLstm obj's underlying member method code with example usage: obj.forward_chainerx(inputs) and returns: tuple