code: def generate_inputs(self):
      h_shape = (self.n_layers, self.batches[0], self.hidden_size)
      dtype = self.in_dtypes[0]
  
      h = array_utils.uniform(h_shape, dtype)
  
      in_size = self.input_size
      out_size = self.hidden_size
      xs = [
          array_utils.uniform((self.batches[b], in_size), dtype)
          for b in range(len(self.batches))
      ]
  
      def w_in(i, j):
          return in_size if i == 0 and j < 3 else out_size
  
      inputs = []
      inputs.append(h)
      for i in range(len(self.batches)):
          inputs.append(xs[i])
  
      for n in range(self.n_layers):
          for i in range(6):
              inputs.append(
                  array_utils.uniform((out_size, w_in(n, i)), dtype)
              )
          for i in range(6):
              inputs.append(array_utils.uniform((out_size,), dtype))
      return tuple(inputs)
  
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 2 for calling the TestNStepGru obj's underlying member method code with example usage: obj.generate_inputs() and returns: tuple, unknown