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Paddle/python/paddle/fluid/tests/unittests/test_multiprocess_reader_ex...

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# 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 paddle
import paddle.fluid as fluid
from paddle.reader import multiprocess_reader
import unittest
import numpy as np
import six
import sys
class ReaderException(Exception):
pass
class TestMultiprocessReaderException(unittest.TestCase):
def setUp(self):
self.use_pipe = False
self.raise_exception = False
def places(self):
if fluid.is_compiled_with_cuda():
return [fluid.CPUPlace(), fluid.CUDAPlace(0)]
else:
return [fluid.CPUPlace()]
def main_impl(self, place, iterable, use_legacy_py_reader):
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 fluid.program_guard(fluid.Program(), fluid.Program()):
if not use_legacy_py_reader:
image = fluid.data(
name='image', dtype='float32', shape=[None, 10])
reader = fluid.io.PyReader(
feed_list=[image], capacity=2, iterable=iterable)
else:
reader = fluid.layers.py_reader(
capacity=2, shapes=[[-1, 10], ], dtypes=['float32', ])
image = fluid.layers.read_file(reader)
image_p_1 = image + 1
decorated_reader = multiprocess_reader(
[fake_reader(), fake_reader()], use_pipe=self.use_pipe)
if use_legacy_py_reader:
reader.decorate_paddle_reader(
fluid.io.batch(
decorated_reader, batch_size=batch_size))
else:
if isinstance(place, fluid.CUDAPlace):
reader.decorate_sample_generator(
decorated_reader,
batch_size=batch_size,
places=fluid.cuda_places(0))
else:
reader.decorate_sample_generator(
decorated_reader,
batch_size=batch_size,
places=fluid.cpu_places())
exe = fluid.Executor(place)
exe.run(fluid.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.assertEquals(num, batch_num)
except SystemError as ex:
self.assertEquals(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 fluid.core.EOFException:
reader.reset()
self.assertFalse(self.raise_exception)
self.assertEquals(num, batch_num)
except SystemError as ex:
self.assertTrue(self.raise_exception)
self.assertEquals(num, 0)
raise ReaderException()
def test_main(self):
for p in self.places():
for iterable in [False, True]:
use_legacy_py_reader_range = [False
] if iterable else [False, True]
for use_legacy_py_reader in use_legacy_py_reader_range:
try:
with fluid.scope_guard(fluid.Scope()):
self.main_impl(p, iterable, use_legacy_py_reader)
self.assertTrue(not self.raise_exception)
except ReaderException:
self.assertTrue(self.raise_exception)
class TestCase1(TestMultiprocessReaderException):
def setUp(self):
self.use_pipe = False
self.raise_exception = True
class TestCase2(TestMultiprocessReaderException):
def setUp(self):
self.use_pipe = True
self.raise_exception = False
class TestCase3(TestMultiprocessReaderException):
def setUp(self):
self.use_pipe = True
self.raise_exception = True
if __name__ == '__main__':
paddle.enable_static()
unittest.main()