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))
  
      # Forward twice via call_recurrent_link
      call_y0, call_rs0 = stateless_recurrent.call_recurrent_link(
          link, seqs_x, None, output_mode="split"
      )
      self.assertEqual(len(call_y0), 3)
      np.testing.assert_allclose(call_y0[0].array, y0[0].array)
      np.testing.assert_allclose(call_y0[1].array, y0[1].array)
      np.testing.assert_allclose(call_y0[2].array, y0[2].array)
      np.testing.assert_allclose(call_rs0.array, h0.array)
  
      call_y1, call_rs1 = stateless_recurrent.call_recurrent_link(
          link, seqs_x, call_rs0, output_mode="split"
      )
      self.assertEqual(len(call_y1), 3)
      np.testing.assert_allclose(call_y1[0].array, y1[0].array)
      np.testing.assert_allclose(call_y1[1].array, y1[1].array)
      np.testing.assert_allclose(call_y1[2].array, y1[2].array)
      np.testing.assert_allclose(call_rs1.array, h1.array)
  
      # Try output_mode=='concat' too
      (
          concat_call_y0,
          concat_call_rs0,
      ) = stateless_recurrent.call_recurrent_link(
          link, seqs_x, None, output_mode="concat"
      )
      np.testing.assert_allclose(concat_call_y0[:4].array, y0[0].array)
      np.testing.assert_allclose(concat_call_y0[4:5].array, y0[1].array)
      np.testing.assert_allclose(concat_call_y0[5:].array, y0[2].array)
      np.testing.assert_allclose(concat_call_rs0.array, h0.array)
  
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 TestCallRecurrentLink obj's underlying member method code with example usage: obj._test_non_lstm(gpu, name) without return types