未验证 提交 cee0079a 编写于 作者: Z Zeng Jinle 提交者: GitHub

fix readers bug, test=develop (#19868)

上级 747d4498
......@@ -55,11 +55,11 @@ def reader_creator(filename, sub_name, cycle=False):
yield (sample / 255.0).astype(numpy.float32), int(label)
def reader():
while True:
with tarfile.open(filename, mode='r') as f:
names = (each_item.name for each_item in f
if sub_name in each_item.name)
while True:
for name in names:
if six.PY2:
batch = pickle.load(f.extractfile(name))
......@@ -68,6 +68,7 @@ def reader_creator(filename, sub_name, cycle=False):
f.extractfile(name), encoding='bytes')
for item in read_batch(batch):
yield item
if not cycle:
break
......
......@@ -38,6 +38,7 @@ endif()
if(WIN32)
LIST(REMOVE_ITEM TEST_OPS test_boxps)
LIST(REMOVE_ITEM TEST_OPS test_trainer_desc)
LIST(REMOVE_ITEM TEST_OPS test_multiprocess_reader_exception)
endif()
LIST(REMOVE_ITEM TEST_OPS test_launch)
......
# 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 unittest
class TestCifar10(unittest.TestCase):
def test_main(self):
reader = paddle.dataset.cifar.train10(cycle=False)
sample_num = 0
for _ in reader():
sample_num += 1
cyclic_reader = paddle.dataset.cifar.train10(cycle=True)
read_num = 0
for data in cyclic_reader():
read_num += 1
self.assertEquals(len(data), 2)
if read_num == sample_num * 2:
break
self.assertEquals(read_num, sample_num * 2)
if __name__ == '__main__':
unittest.main()
# 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.fluid as fluid
from paddle.fluid.io import multiprocess_reader
import unittest
import numpy as np
import six
import sys
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):
def fake_reader():
def __impl__():
for _ in range(40):
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()):
image = fluid.layers.data(name='image', dtype='float32', shape=[10])
reader = fluid.io.PyReader(
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, fluid.CUDAPlace):
reader.decorate_sample_generator(
decorated_reader, batch_size=4, places=fluid.cuda_places())
else:
reader.decorate_sample_generator(
decorated_reader, batch_size=4, places=fluid.cpu_places())
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
if iterable:
for _ in range(3):
num = 0
for data in reader():
exe.run(feed=data, fetch_list=[image_p_1])
num += 1
if not self.raise_exception:
self.assertEquals(num, 20)
else:
self.assertEquals(num, 0)
raise ValueError('Reader raises exception')
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()
if not self.raise_exception:
self.assertEquals(num, 20)
else:
self.assertEquals(num, 0)
raise ValueError('Reader raises exception')
def test_main(self):
for p in self.places():
for iterable in [False, True]:
try:
with fluid.scope_guard(fluid.Scope()):
self.main_impl(p, iterable)
self.assertTrue(not self.raise_exception)
except ValueError:
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__':
unittest.main()
......@@ -21,6 +21,7 @@ __all__ = [
from threading import Thread
import subprocess
import multiprocessing
import six
import sys
from six.moves.queue import Queue
......@@ -390,11 +391,15 @@ def multiprocess_reader(readers, use_pipe=True, queue_size=1000):
assert type(readers) is list and len(readers) > 0
def _read_into_queue(reader, queue):
try:
for sample in reader():
if sample is None:
raise ValueError("sample has None")
queue.put(sample)
queue.put(None)
except:
queue.put("")
six.reraise(*sys.exc_info())
def queue_reader():
queue = multiprocessing.Queue(queue_size)
......@@ -409,16 +414,23 @@ def multiprocess_reader(readers, use_pipe=True, queue_size=1000):
sample = queue.get()
if sample is None:
finish_num += 1
elif sample == "":
raise ValueError("multiprocess reader raises an exception")
else:
yield sample
def _read_into_pipe(reader, conn):
try:
for sample in reader():
if sample is None:
raise ValueError("sample has None!")
conn.send(json.dumps(sample))
conn.send(json.dumps(None))
conn.close()
except:
conn.send(json.dumps(""))
conn.close()
six.reraise(*sys.exc_info())
def pipe_reader():
conns = []
......@@ -442,6 +454,10 @@ def multiprocess_reader(readers, use_pipe=True, queue_size=1000):
finish_num += 1
conn.close()
conn_to_remove.append(conn)
elif sample == "":
conn.close()
conn_to_remove.append(conn)
raise ValueError("multiprocess reader raises an exception")
else:
yield sample
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册