wehub-resource-sync
44 lines
1.4 KiB
Python
44 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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from op_test import get_device_place, is_custom_device
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import paddle
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from paddle import base
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from paddle.base.dygraph import guard
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class TestImperativeUsingNonZeroGpu(unittest.TestCase):
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def run_main(self, np_arr, place):
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with guard(place):
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var = paddle.to_tensor(np_arr)
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np.testing.assert_array_equal(np_arr, var.numpy())
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def test_non_zero_gpu(self):
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if not (base.is_compiled_with_cuda() or is_custom_device()):
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return
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np_arr = np.random.random([11, 13]).astype('float32')
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if paddle.device.cuda.device_count() > 1:
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# should use non zero gpu if there are more than 1 gpu
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self.run_main(np_arr, get_device_place(1))
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else:
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self.run_main(np_arr, get_device_place(0))
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if __name__ == '__main__':
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unittest.main()
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