wehub-resource-sync
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# Copyright (c) 2023 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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class TestPinnedAllocator(unittest.TestCase):
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def test_main(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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paddle.set_flags({'FLAGS_use_auto_growth_pinned_allocator': True})
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x_np = np.random.random([1024, 1024, 4]).astype(np.float32)
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x_pd_gpu = paddle.to_tensor(x_np)
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x_pd_pin = x_pd_gpu.pin_memory(False)
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paddle.device.cuda.synchronize()
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np.testing.assert_equal(x_np, x_pd_pin.numpy())
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x_pd_pin = x_pd_gpu.pin_memory()
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np.testing.assert_equal(x_np, x_pd_pin.numpy())
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if __name__ == "__main__":
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unittest.main()
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