wehub-resource-sync
48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
# Copyright (c) 2018 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 paddle
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class TestSetGradNone(unittest.TestCase):
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def test_clear_dense_grad(self):
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x = paddle.randn([4, 4], dtype='float32')
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x.stop_gradient = False
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y = x.sum()
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y.backward()
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assert x.grad is not None
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x.grad = None
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assert x.grad is None
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def test_clear_selectedrows_grad(self):
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sparse_emb = paddle.nn.Embedding(
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num_embeddings=100, embedding_dim=16, sparse=True
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)
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x = paddle.randint(0, 100, shape=[10], dtype="int64")
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out = sparse_emb(x).sum()
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out.backward()
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grad = sparse_emb.weight.grad
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self.assertIsNotNone(grad)
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sparse_emb.weight.grad = None
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self.assertIsNone(sparse_emb.weight.grad)
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if __name__ == '__main__':
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unittest.main()
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