wehub-resource-sync
77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
# Copyright (c) 2022 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 sys
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import tempfile
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import unittest
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class TestCustomCPUProfilerPlugin(unittest.TestCase):
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def setUp(self):
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# compile so and set to current path
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cur_dir = os.path.dirname(os.path.abspath(__file__))
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self.temp_dir = tempfile.TemporaryDirectory()
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cmd = 'cd {} \
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&& git clone --depth 1 {} \
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&& cd PaddleCustomDevice \
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&& git fetch origin \
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&& git checkout {} -b dev \
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&& cd backends/custom_cpu \
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&& mkdir build && cd build && cmake .. -DPython_EXECUTABLE={} -DWITH_TESTING=OFF && make -j8'.format(
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self.temp_dir.name,
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os.getenv('PLUGIN_URL'),
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os.getenv('PLUGIN_TAG'),
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sys.executable,
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)
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os.system(cmd)
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# set environment for loading and registering compiled custom kernels
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# only valid in current process
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os.environ['CUSTOM_DEVICE_ROOT'] = os.path.join(
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cur_dir,
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f'{self.temp_dir.name}/PaddleCustomDevice/backends/custom_cpu/build',
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)
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def tearDown(self):
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self.temp_dir.cleanup()
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del os.environ['CUSTOM_DEVICE_ROOT']
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def test_custom_profiler(self):
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import paddle
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from paddle import profiler
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paddle.set_device('custom_cpu')
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x = paddle.to_tensor([1, 2, 3])
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p = profiler.Profiler(
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targets=[
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profiler.ProfilerTarget.CPU,
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profiler.ProfilerTarget.CUSTOM_DEVICE,
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]
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)
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p.start()
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for iter in range(10):
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x = x + 1
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p.step()
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p.stop()
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p.summary()
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if __name__ == '__main__':
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if os.name == 'nt' or sys.platform.startswith('darwin'):
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# only support Linux now
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sys.exit()
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unittest.main()
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