#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, software
#distributed under the License is distributed on an "AS IS" BASIS,
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
import unittest

import paddle.v2.fluid as fluid
import paddle.v2.fluid.layers as layers
import paddle.v2.fluid.framework as framework
import paddle.v2.fluid.optimizer as optimizer
from paddle.v2.fluid.backward import calc_gradient


class TestCalcGradient(unittest.TestCase):
    def test_calc_gradient(self):
        x = layers.create_parameter(dtype="float32", shape=[5, 10])
        y = layers.create_parameter(dtype="float32", shape=[10, 8])
        mul_out = layers.mul(x=x, y=y)
        mean_out = layers.mean(x=mul_out)
        a = calc_gradient(mean_out, mul_out)
        b = calc_gradient(mean_out, x)
        place = fluid.CPUPlace()
        exe = fluid.Executor(place)
        exe.run(fluid.default_startup_program())
        exe.run(fluid.default_main_program(), feed={}, fetch_list=[a, b])


if __name__ == "__main__":
    unittest.main()