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127 lines
4.2 KiB
127 lines
4.2 KiB
# 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 paddle.fluid as fluid
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from paddle.fluid.io import multiprocess_reader
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import unittest
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import numpy as np
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import six
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import sys
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class TestMultiprocessReaderException(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 fluid.is_compiled_with_cuda():
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return [fluid.CPUPlace(), fluid.CUDAPlace(0)]
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else:
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return [fluid.CPUPlace()]
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def main_impl(self, place, iterable):
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def fake_reader():
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def __impl__():
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for _ in range(40):
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if not self.raise_exception:
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yield list(
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np.random.uniform(
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low=-1, high=1, size=[10])),
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else:
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raise ValueError()
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return __impl__
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with fluid.program_guard(fluid.Program(), fluid.Program()):
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image = fluid.layers.data(name='image', dtype='float32', shape=[10])
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reader = fluid.io.PyReader(
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feed_list=[image], capacity=2, iterable=iterable)
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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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if isinstance(place, fluid.CUDAPlace):
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reader.decorate_sample_generator(
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decorated_reader, batch_size=4, places=fluid.cuda_places())
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else:
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reader.decorate_sample_generator(
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decorated_reader, batch_size=4, places=fluid.cpu_places())
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exe = fluid.Executor(place)
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exe.run(fluid.default_startup_program())
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if iterable:
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for _ in range(3):
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num = 0
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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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if not self.raise_exception:
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self.assertEquals(num, 20)
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else:
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self.assertEquals(num, 0)
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raise ValueError('Reader raises exception')
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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 fluid.core.EOFException:
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reader.reset()
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if not self.raise_exception:
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self.assertEquals(num, 20)
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else:
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self.assertEquals(num, 0)
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raise ValueError('Reader raises exception')
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def test_main(self):
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for p in self.places():
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for iterable in [False, True]:
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try:
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with fluid.scope_guard(fluid.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 ValueError:
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self.assertTrue(self.raise_exception)
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class TestCase1(TestMultiprocessReaderException):
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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 TestCase2(TestMultiprocessReaderException):
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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 TestCase3(TestMultiprocessReaderException):
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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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