wehub-resource-sync
49 lines
1.4 KiB
Python
49 lines
1.4 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 as np
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import paddle
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from paddle import base
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class TestImperativeLayerTrainable(unittest.TestCase):
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def test_set_trainable(self):
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with base.dygraph.guard():
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label = np.random.uniform(-1, 1, [10, 10]).astype(np.float32)
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label = paddle.to_tensor(label)
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linear = paddle.nn.Linear(10, 10)
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y = linear(label)
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self.assertFalse(y.stop_gradient)
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linear.weight.trainable = False
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linear.bias.trainable = False
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self.assertFalse(linear.weight.trainable)
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self.assertTrue(linear.weight.stop_gradient)
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y = linear(label)
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self.assertTrue(y.stop_gradient)
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with self.assertRaises(ValueError):
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linear.weight.trainable = "1"
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if __name__ == '__main__':
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unittest.main()
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