code: def _test_non_lstm(self, gpu, name):
      in_size = 2
      out_size = 3
      seqs_x = [
          np.random.uniform(-1, 1, size=(4, in_size)).astype(
              np.float32
          ),
          np.random.uniform(-1, 1, size=(1, in_size)).astype(
              np.float32
          ),
          np.random.uniform(-1, 1, size=(3, in_size)).astype(
              np.float32
          ),
      ]
      self.assertTrue(
          name in ("NStepGRU", "NStepRNNReLU", "NStepRNNTanh")
      )
      cls = getattr(L, name)
      link = cls(1, in_size, out_size, 0)
  
      # Forward twice: with None and non-None random states
      h0, y0 = link(None, seqs_x)
      h1, y1 = link(h0, seqs_x)
      self.assertEqual(h0.shape, (1, 3, out_size))
      self.assertEqual(h1.shape, (1, 3, out_size))
  
      # Masked at 0
      rs0_mask0 = stateless_recurrent.mask_recurrent_state_at(
          link, h0, 0
      )
      _, y1m0 = link(rs0_mask0, seqs_x)
      np.testing.assert_allclose(y1m0[0].array, y0[0].array)
      np.testing.assert_allclose(y1m0[1].array, y1[1].array)
      np.testing.assert_allclose(y1m0[2].array, y1[2].array)
  
      # Masked at (1, 2)
      rs0_mask12 = stateless_recurrent.mask_recurrent_state_at(
          link, h0, (1, 2)
      )
      _, y1m12 = link(rs0_mask12, seqs_x)
      np.testing.assert_allclose(y1m12[0].array, y1[0].array)
      np.testing.assert_allclose(y1m12[1].array, y0[1].array)
      np.testing.assert_allclose(y1m12[2].array, y0[2].array)
  
      # Get at 1 and concat with None
      rs0_get1 = stateless_recurrent.get_recurrent_state_at(
          link, h0, 1, unwrap_variable=False
      )
      np.testing.assert_allclose(rs0_get1.array, h0.array[:, 1])
      concat_rs_get1 = stateless_recurrent.concatenate_recurrent_states(
          link, [None, rs0_get1, None]
      )
      _, y1g1 = link(concat_rs_get1, seqs_x)
      np.testing.assert_allclose(y1g1[0].array, y0[0].array)
      np.testing.assert_allclose(y1g1[1].array, y1[1].array)
      np.testing.assert_allclose(y1g1[2].array, y0[2].array)
  
      # Get at 1 with unwrap_variable=True
      rs0_get1 = stateless_recurrent.get_recurrent_state_at(
          link, h0, 1, unwrap_variable=True
      )
      np.testing.assert_allclose(rs0_get1, h0.array[:, 1])
  
imports: import unittest
  from chainer import links
  from chainer import testing
  import numpy
  from chainerrl.links import stateless_recurrent
label_desc: Use image node_id 4 for calling the TestRecurrentStateFunctions obj's underlying member method code with example usage: obj._test_non_lstm(gpu, name) without return types