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paddlepaddle--paddle/test/legacy_test/test_multiprocess_reader_exception.py
2026-07-13 12:40:42 +08:00

153 lines
4.8 KiB
Python

# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
import numpy as np
from op_test import get_device_class, get_device_place, is_custom_device
import paddle
from paddle import base
from paddle.reader import multiprocess_reader
class ReaderException(Exception):
pass
class TestMultiprocessReaderExceptionWithQueueSuccess(unittest.TestCase):
def setUp(self):
self.use_pipe = False
self.raise_exception = False
def places(self):
if base.is_compiled_with_cuda() or is_custom_device():
return [base.CPUPlace(), get_device_place()]
else:
return [base.CPUPlace()]
def main_impl(self, place, iterable):
sample_num = 40
batch_size = 4
def fake_reader():
def __impl__():
for _ in range(sample_num):
if not self.raise_exception:
yield (
list(np.random.uniform(low=-1, high=1, size=[10])),
)
else:
raise ValueError
return __impl__
with base.program_guard(base.Program(), base.Program()):
image = paddle.static.data(
name='image', dtype='float32', shape=[None, 10]
)
reader = base.io.DataLoader.from_generator(
feed_list=[image], capacity=2, iterable=iterable
)
image_p_1 = image + 1
decorated_reader = multiprocess_reader(
[fake_reader(), fake_reader()], use_pipe=self.use_pipe
)
if isinstance(place, get_device_class()):
reader.set_sample_generator(
decorated_reader,
batch_size=batch_size,
places=base.cuda_places(0),
)
else:
reader.set_sample_generator(
decorated_reader,
batch_size=batch_size,
places=base.cpu_places(1),
)
exe = base.Executor(place)
exe.run(base.default_startup_program())
batch_num = int(sample_num * 2 / batch_size)
if iterable:
for _ in range(3):
num = 0
try:
for data in reader():
exe.run(feed=data, fetch_list=[image_p_1])
num += 1
self.assertEqual(num, batch_num)
except SystemError as ex:
self.assertEqual(num, 0)
raise ReaderException
else:
for _ in range(3):
num = 0
reader.start()
try:
while True:
exe.run(fetch_list=[image_p_1])
num += 1
except base.core.EOFException:
reader.reset()
self.assertFalse(self.raise_exception)
self.assertEqual(num, batch_num)
except SystemError as ex:
self.assertTrue(self.raise_exception)
self.assertEqual(num, 0)
raise ReaderException
def test_main(self):
for p in self.places():
for iterable in [True]:
try:
with base.scope_guard(base.Scope()):
self.main_impl(p, iterable)
self.assertTrue(not self.raise_exception)
except ReaderException:
self.assertTrue(self.raise_exception)
class TestMultiprocessReaderExceptionWithQueueFailed(
TestMultiprocessReaderExceptionWithQueueSuccess
):
def setUp(self):
self.use_pipe = False
self.raise_exception = True
class TestMultiprocessReaderExceptionWithPipeSuccess(
TestMultiprocessReaderExceptionWithQueueSuccess
):
def setUp(self):
self.use_pipe = True
self.raise_exception = False
class TestMultiprocessReaderExceptionWithPipeFailed(
TestMultiprocessReaderExceptionWithQueueSuccess
):
def setUp(self):
self.use_pipe = True
self.raise_exception = True
if __name__ == '__main__':
unittest.main()