grid_rnn_test.py 文件源码

def testGrid2BasicRNNCellWithRelu(self):
    with self.test_session() as sess:
      with variable_scope.variable_scope(
          'root', initializer=init_ops.constant_initializer(0.5)):
        x = array_ops.zeros([1, 2])
        m = array_ops.zeros([1, 2])
        cell = grid_rnn_cell.Grid2BasicRNNCell(2, non_recurrent_fn=nn_ops.relu)
        self.assertEqual(cell.state_size, 2)

        g, s = cell(x, m)
        self.assertEqual(g.get_shape(), (1, 2))
        self.assertEqual(s.get_shape(), (1, 2))

        sess.run([variables.global_variables_initializer()])
        res = sess.run([g, s],
                       {x: np.array([[1., 1.]]),
                        m: np.array([[0.1, 0.1]])})
        self.assertEqual(res[0].shape, (1, 2))
        self.assertEqual(res[1].shape, (1, 2))
        self.assertAllClose(res[0], [[1.80049896, 1.80049896]])
        self.assertAllClose(res[1], [[0.80049896, 0.80049896]])