chore: import upstream snapshot with attribution
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# Copyright (c) 2019 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_class, 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.reader import multiprocess_reader
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class ReaderException(Exception):
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pass
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class TestMultiprocessReaderExceptionWithQueueSuccess(unittest.TestCase):
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def setUp(self):
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self.use_pipe = False
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self.raise_exception = False
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def places(self):
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if base.is_compiled_with_cuda() or is_custom_device():
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return [base.CPUPlace(), get_device_place()]
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else:
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return [base.CPUPlace()]
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def main_impl(self, place, iterable):
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sample_num = 40
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batch_size = 4
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def fake_reader():
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def __impl__():
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for _ in range(sample_num):
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if not self.raise_exception:
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yield (
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list(np.random.uniform(low=-1, high=1, size=[10])),
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)
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else:
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raise ValueError
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return __impl__
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with base.program_guard(base.Program(), base.Program()):
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image = paddle.static.data(
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name='image', dtype='float32', shape=[None, 10]
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)
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reader = base.io.DataLoader.from_generator(
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feed_list=[image], capacity=2, iterable=iterable
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)
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image_p_1 = image + 1
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decorated_reader = multiprocess_reader(
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[fake_reader(), fake_reader()], use_pipe=self.use_pipe
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)
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if isinstance(place, get_device_class()):
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reader.set_sample_generator(
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decorated_reader,
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batch_size=batch_size,
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places=base.cuda_places(0),
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)
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else:
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reader.set_sample_generator(
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decorated_reader,
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batch_size=batch_size,
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places=base.cpu_places(1),
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)
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exe = base.Executor(place)
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exe.run(base.default_startup_program())
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batch_num = int(sample_num * 2 / batch_size)
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if iterable:
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for _ in range(3):
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num = 0
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try:
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for data in reader():
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exe.run(feed=data, fetch_list=[image_p_1])
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num += 1
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self.assertEqual(num, batch_num)
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except SystemError as ex:
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self.assertEqual(num, 0)
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raise ReaderException
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else:
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for _ in range(3):
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num = 0
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reader.start()
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try:
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while True:
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exe.run(fetch_list=[image_p_1])
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num += 1
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except base.core.EOFException:
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reader.reset()
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self.assertFalse(self.raise_exception)
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self.assertEqual(num, batch_num)
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except SystemError as ex:
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self.assertTrue(self.raise_exception)
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self.assertEqual(num, 0)
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raise ReaderException
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def test_main(self):
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for p in self.places():
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for iterable in [True]:
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try:
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with base.scope_guard(base.Scope()):
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self.main_impl(p, iterable)
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self.assertTrue(not self.raise_exception)
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except ReaderException:
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self.assertTrue(self.raise_exception)
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class TestMultiprocessReaderExceptionWithQueueFailed(
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TestMultiprocessReaderExceptionWithQueueSuccess
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):
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def setUp(self):
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self.use_pipe = False
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self.raise_exception = True
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class TestMultiprocessReaderExceptionWithPipeSuccess(
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TestMultiprocessReaderExceptionWithQueueSuccess
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):
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def setUp(self):
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self.use_pipe = True
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self.raise_exception = False
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class TestMultiprocessReaderExceptionWithPipeFailed(
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TestMultiprocessReaderExceptionWithQueueSuccess
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):
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def setUp(self):
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self.use_pipe = True
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self.raise_exception = True
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if __name__ == '__main__':
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unittest.main()
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