grid_rnn_test.py 文件源码

python
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项目:DeepLearning_VirtualReality_BigData_Project 作者: rashmitripathi 项目源码 文件源码
def testGrid2BasicRNNCell(self):
    with self.test_session() as sess:
      with variable_scope.variable_scope(
          'root', initializer=init_ops.constant_initializer(0.5)):
        x = array_ops.zeros([2, 2])
        m = array_ops.zeros([2, 4])
        cell = grid_rnn_cell.Grid2BasicRNNCell(2)
        self.assertEqual(cell.state_size, 4)

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

        sess.run([variables.global_variables_initializer()])
        res = sess.run([g, s], {
            x: np.array([[1., 1.], [2., 2.]]),
            m: np.array([[0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2]])
        })
        self.assertEqual(res[0].shape, (2, 2))
        self.assertEqual(res[1].shape, (2, 4))
        self.assertAllClose(res[0], [[0.94685763, 0.94685763],
                                     [0.99480951, 0.99480951]])
        self.assertAllClose(res[1],
                            [[0.94685763, 0.94685763, 0.80049908, 0.80049908],
                             [0.99480951, 0.99480951, 0.97574311, 0.97574311]])
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