code: def forward(self, inputs, device):
      h, ws, bs, xs = self.process_inputs(inputs)
      if h.array.dtype == numpy.float64:
          with chainer.using_config("use_cudnn", "never"):
              out = F.n_step_gru(self.n_layers, 0.0, h, ws, bs, xs)
      else:
          out = F.n_step_gru(self.n_layers, 0.0, h, ws, bs, xs)
  
      rets = []
      rets.append(out[0])
      for i in range(len(out[1])):
          rets.append(out[1][i])
      return tuple(rets)
  
imports: import numpy
  import chainer
  import chainer.functions
  from chainer import testing
  from chainer.testing import backend
label_desc: Use image node_id 4 for calling the TestNStepGRU obj's underlying member method code with example usage: obj.forward(inputs, device) and returns: tuple