40 lines
1.4 KiB
40 lines
1.4 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import paddle.fluid as fluid
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import paddle.fluid.layers as layers
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from paddle.fluid.backward import calc_gradient
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class TestCalcGradient(unittest.TestCase):
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def test_calc_gradient(self):
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x = layers.create_parameter(dtype="float32", shape=[5, 10])
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y = layers.create_parameter(dtype="float32", shape=[10, 8])
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mul_out = layers.mul(x=x, y=y)
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mean_out = layers.mean(mul_out)
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a = calc_gradient(mean_out, mul_out)
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b = calc_gradient(mean_out, x)
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place = fluid.CPUPlace()
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exe = fluid.Executor(place)
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exe.run(fluid.default_startup_program())
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exe.run(fluid.default_main_program(), feed={}, fetch_list=[a, b])
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if __name__ == "__main__":
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unittest.main()
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