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db5eac2d
编写于
5月 07, 2021
作者:
C
Chen Weihang
提交者:
GitHub
5月 07, 2021
浏览文件
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电子邮件补丁
差异文件
add timeout for queue.get (#32747)
上级
7610c2b4
变更
1
显示空白变更内容
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Showing
1 changed file
with
21 addition
and
4 deletion
+21
-4
python/paddle/reader/decorator.py
python/paddle/reader/decorator.py
+21
-4
未找到文件。
python/paddle/reader/decorator.py
浏览文件 @
db5eac2d
...
...
@@ -17,6 +17,7 @@ import subprocess
import
multiprocessing
import
six
import
sys
import
warnings
from
six.moves.queue
import
Queue
from
six.moves
import
zip_longest
...
...
@@ -25,7 +26,9 @@ from six.moves import zip
import
itertools
import
random
import
zlib
import
paddle.compat
as
cpt
from
paddle.fluid.reader
import
QUEUE_GET_TIMEOUT
__all__
=
[]
...
...
@@ -584,10 +587,13 @@ def multiprocess_reader(readers, use_pipe=True, queue_size=1000):
raise
NotImplementedError
(
"The multiprocess_reader method is not supported on windows."
)
# ujson is ultra fast json encoder and decoder written in pure C with bindings for Python 3.6+.
try
:
import
ujson
as
json
except
Exception
as
e
:
sys
.
stderr
.
write
(
"import ujson error: "
+
str
(
e
)
+
" use json
\n
"
)
warnings
.
warn
(
"The `ujson` module is not found, use the `json` module, `ujson` encodes and decodes faster, "
"you can install `ujson` through `pip install ujson`."
)
import
json
assert
isinstance
(
readers
,
(
list
,
tuple
))
and
len
(
readers
)
>
0
,
(
...
...
@@ -614,11 +620,20 @@ def multiprocess_reader(readers, use_pipe=True, queue_size=1000):
reader_num
=
len
(
readers
)
finish_num
=
0
while
finish_num
<
reader_num
:
sample
=
queue
.
get
()
try
:
sample
=
queue
.
get
(
timeout
=
QUEUE_GET_TIMEOUT
)
except
:
logging
.
error
(
"multiprocess_reader failed to get data from the multiprocessing.Queue."
)
six
.
reraise
(
*
sys
.
exc_info
())
if
sample
is
None
:
finish_num
+=
1
elif
sample
==
""
:
raise
ValueError
(
"multiprocess reader raises an exception"
)
raise
ValueError
(
"multiprocess_reader failed to put data into the multiprocessing.Queue."
)
else
:
yield
sample
...
...
@@ -660,7 +675,9 @@ def multiprocess_reader(readers, use_pipe=True, queue_size=1000):
elif
sample
==
""
:
conn
.
close
()
conn_to_remove
.
append
(
conn
)
raise
ValueError
(
"multiprocess reader raises an exception"
)
raise
ValueError
(
"multiprocess_reader failed to send data into the multiprocessing.Pipe."
)
else
:
yield
sample
...
...
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