wehub-resource-sync
71 lines
1.7 KiB
Python
71 lines
1.7 KiB
Python
# Copyright (c) 2025 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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from test_case_base import TestCaseBase
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import paddle
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from paddle.jit.sot.psdb import check_no_breakgraph
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@paddle.no_grad()
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def inner_no_grad_fn(x, y):
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return x * y + x**2
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@check_no_breakgraph
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def no_grad_fn_caller(x, y):
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z = inner_no_grad_fn(x * y, y)
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a = x * y + x**3 - 1
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return z + a
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@check_no_breakgraph
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@paddle.no_grad()
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def outer_no_grad_fn(x, y):
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z = x * y + x**2
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a = inner_no_grad_fn(x, y)
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return z + a
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class TestNoGrad(TestCaseBase):
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def test_inner_no_grad(self):
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x = paddle.randn([10, 3])
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y = paddle.randn([10, 3])
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x.stop_gradient = False
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y.stop_gradient = False
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self.assert_results_with_grad(
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[x, y],
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no_grad_fn_caller,
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x,
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y,
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)
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def test_outer_no_grad(self):
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x = paddle.randn([1, 3])
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y = paddle.randn([1, 3])
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x.stop_gradient = False
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y.stop_gradient = False
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self.assert_results_with_grad(
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[x, y],
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outer_no_grad_fn,
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x,
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y,
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)
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if __name__ == "__main__":
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unittest.main()
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