wehub-resource-sync
71 lines
2.3 KiB
Python
71 lines
2.3 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 os
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import subprocess
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import sys
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import tempfile
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import unittest
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from op_test import is_custom_device
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from paddle.base import core
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class TestGPUPackagePaddle(unittest.TestCase):
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def setUp(self):
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self.temp_dir = tempfile.TemporaryDirectory()
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def tearDwon(self):
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self.temp_dir.cleanup()
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def test_import_paddle(self):
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if core.is_compiled_with_cuda() or is_custom_device():
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if core.is_compiled_with_rocm():
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os.environ['HIP_VISIBLE_DEVICES'] = ''
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else:
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os.environ['CUDA_VISIBLE_DEVICES'] = ''
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test_file = os.path.join(
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self.temp_dir.name, 'test_no_gpu_run_rand.py'
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)
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with open(test_file, 'w') as wb:
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cmd_test = """
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import paddle
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paddle.utils.run_check()
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x = paddle.rand([3,4])
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assert x.place.is_gpu_place() is False, "There is no CUDA device, but Tensor's place is CUDAPlace"
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"""
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wb.write(cmd_test)
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_python = sys.executable
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ps_cmd = f'{_python} {test_file}'
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ps_proc = subprocess.Popen(
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ps_cmd.strip().split(" "),
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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env=os.environ,
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)
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stdout, stderr = ps_proc.communicate()
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assert 'CPU device will be used by default' in str(stderr), (
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"GPU version Paddle is installed. But CPU device can't be used when CUDA device is not set properly"
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)
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assert "AssertionError" not in str(stderr), (
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"There is no CUDA device, but Tensor's place is CUDAPlace"
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)
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if __name__ == '__main__':
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unittest.main()
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