wehub-resource-sync
65 lines
2.2 KiB
Python
65 lines
2.2 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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import numpy as np
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import paddle
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class TestLogOutAndParamDecorator(unittest.TestCase):
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def setUp(self):
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paddle.disable_static()
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self.x_np = np.random.uniform(0.1, 1, [3, 4]).astype(np.float32)
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self.test_types = ["decorator", "out", "out_decorator"]
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def do_test(self, test_type):
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x = paddle.to_tensor(self.x_np, stop_gradient=False)
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if test_type == 'raw':
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result = paddle.log(x)
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result.mean().backward()
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return result, x.grad
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elif test_type == 'decorator':
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result = paddle.log(input=x)
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result.mean().backward()
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return result, x.grad
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elif test_type == 'out':
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out = paddle.empty_like(x)
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out.stop_gradient = False
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paddle.log(x, out=out)
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out.mean().backward()
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return out, x.grad
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elif test_type == 'out_decorator':
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out = paddle.empty_like(x)
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out.stop_gradient = False
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paddle.log(input=x, out=out)
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out.mean().backward()
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return out, x.grad
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else:
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raise ValueError(f"Unknown test type: {test_type}")
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def test_all(self):
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out_std, grad_std = self.do_test('raw')
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for test_type in self.test_types:
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out, grad = self.do_test(test_type)
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np.testing.assert_allclose(out.numpy(), out_std.numpy(), rtol=1e-20)
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np.testing.assert_allclose(
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grad.numpy(), grad_std.numpy(), rtol=1e-20
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)
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if __name__ == "__main__":
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unittest.main()
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