wehub-resource-sync
59 lines
2.0 KiB
Python
59 lines
2.0 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 op_test import get_device_place, is_custom_device
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import paddle
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def wrap_place(place):
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p = paddle.base.libpaddle.Place()
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p.set_place(place)
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return p
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class TestPlace(unittest.TestCase):
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def test_eq(self):
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x = paddle.to_tensor([1, 2, 3], place=paddle.CPUPlace())
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y = paddle.to_tensor([1, 2, 3], place=paddle.CPUPlace())
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self.assertEqual(x.place, y.place)
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self.assertEqual(x.place, wrap_place(paddle.CPUPlace()))
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def test_ne(self):
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if not (paddle.is_compiled_with_cuda() or is_custom_device()):
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return
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x = paddle.to_tensor([1, 2, 3], place=paddle.CPUPlace())
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y = paddle.to_tensor([1, 2, 3], place=get_device_place())
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self.assertNotEqual(x.place, y.place)
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self.assertNotEqual(x.place, wrap_place(get_device_place()))
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self.assertNotEqual(y.place, wrap_place(paddle.CPUPlace()))
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self.assertEqual(y.place, wrap_place(get_device_place()))
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class TestGetDevice(unittest.TestCase):
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def test_cpu_tensor(self):
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x = paddle.to_tensor([1, 2, 3], place=paddle.CPUPlace())
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self.assertEqual(x.get_device(), -1)
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def test_gpu_tensor(self):
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if not paddle.is_compiled_with_cuda():
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return
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y = paddle.to_tensor([1, 2, 3], place=paddle.CUDAPlace(0))
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self.assertEqual(y.get_device(), y.place.gpu_device_id())
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if __name__ == "__main__":
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unittest.main()
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