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2026-07-13 12:40:42 +08:00

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Python

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