wehub-resource-sync
56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
# Copyright (c) 2020 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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import unittest
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import numpy
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from dygraph_to_static_utils import Dy2StTestBase
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import paddle
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def static_func(x, no_grad_x):
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tx = 2 * no_grad_x
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tx.stop_gradient = True
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return 2 * x
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def main_func(x, index):
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tmp = paddle.gather(x, index)
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out = paddle.jit.to_static(static_func)(x, tmp)
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return out
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class TestNoGradientCase(Dy2StTestBase):
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def test_no_gradient(self):
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paddle.disable_static()
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x = paddle.randn([10, 3])
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index = paddle.arange(0, 10, 1, dtype='int32')
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x.stop_gradient = False
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index.stop_gradient = True
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func = main_func
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output = func(x, index).mean()
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output.backward()
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self.assertTrue(x.grad is not None)
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self.assertTrue(
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numpy.all(x.grad.numpy() == paddle.full([10, 3], 2.0 / 30).numpy())
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)
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self.assertTrue(index.grad is None)
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if __name__ == '__main__':
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unittest.main()
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