56 lines
1.3 KiB
Python
56 lines
1.3 KiB
Python
# Copyright (c) 2021 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 as np
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import paddle
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from paddle import _C_ops
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class TestCapture:
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def __init__(self):
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self.list = []
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test_cap = TestCapture()
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def grad_hook(grad):
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test_cap.list.append(2)
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return grad
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class TestBackwardFunctionHookError(unittest.TestCase):
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def test_hook(self):
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input_data = np.ones([4, 4]).astype('float32')
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x = paddle.to_tensor(input_data.astype(np.float32), stop_gradient=False)
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z = paddle.to_tensor(input_data.astype(np.float32), stop_gradient=False)
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y = _C_ops.sigmoid(x)
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out = _C_ops.matmul(y, z, False, False)
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y.register_hook(grad_hook)
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out.backward()
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assert test_cap.list == [2]
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if __name__ == "__main__":
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unittest.main()
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