grid_rnn_test.py 文件源码

def testGrid2LSTMCellWithRelu(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, 3])
        m = array_ops.zeros([1, 4])
        cell = grid_rnn_cell.Grid2LSTMCell(
            2, use_peepholes=True, non_recurrent_fn=nn_ops.relu)
        self.assertEqual(cell.state_size, 4)

        g, s = cell(x, m)
        self.assertEqual(g.get_shape(), (1, 2))
        self.assertEqual(s.get_shape(), (1, 4))

        sess.run([variables.global_variables_initializer()])
        res = sess.run(
            [g, s],
            {x: np.array([[1., 1., 1.]]),
             m: np.array([[0.1, 0.2, 0.3, 0.4]])})
        self.assertEqual(res[0].shape, (1, 2))
        self.assertEqual(res[1].shape, (1, 4))
        self.assertAllClose(res[0], [[2.1831727, 2.1831727]])
        self.assertAllClose(res[1], [[0.92270052, 1.02325559, 0.66159075,
                                      0.70475441]])