74 lines
2.3 KiB
Python
74 lines
2.3 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 numpy as np
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from op_test import is_custom_device
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import paddle
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from paddle import base
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from paddle.tensor import random
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class TestManualSeed(unittest.TestCase):
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def test_seed(self):
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base.enable_dygraph()
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gen = paddle.seed(12312321111)
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x = random.gaussian([10], dtype="float32")
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st1 = gen.get_state()
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x1 = random.gaussian([10], dtype="float32")
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gen.set_state(st1)
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x2 = random.gaussian([10], dtype="float32")
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gen.manual_seed(12312321111)
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x3 = random.gaussian([10], dtype="float32")
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x_np = x.numpy()
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x1_np = x1.numpy()
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x2_np = x2.numpy()
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x3_np = x3.numpy()
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if (
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not (base.core.is_compiled_with_cuda() or is_custom_device())
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and not base.core.is_compiled_with_xpu()
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):
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np.testing.assert_allclose(x1_np, x2_np, rtol=1e-05)
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np.testing.assert_allclose(x_np, x3_np, rtol=1e-05)
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def test_manual_seed(self):
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base.enable_dygraph()
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gen = paddle.manual_seed(12312321111)
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x = random.gaussian([10], dtype="float32")
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st1 = gen.get_state()
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x1 = random.gaussian([10], dtype="float32")
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gen.set_state(st1)
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x2 = random.gaussian([10], dtype="float32")
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gen.manual_seed(12312321111)
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x3 = random.gaussian([10], dtype="float32")
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x_np = x.numpy()
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x1_np = x1.numpy()
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x2_np = x2.numpy()
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x3_np = x3.numpy()
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if (
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not base.core.is_compiled_with_cuda()
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and not base.core.is_compiled_with_xpu()
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):
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np.testing.assert_allclose(x1_np, x2_np, rtol=1e-05)
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np.testing.assert_allclose(x_np, x3_np, rtol=1e-05)
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if __name__ == '__main__':
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unittest.main()
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