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If the data reader is interrupted by break in the for loop or ctrl+c from keyboard when loading batch data iteratively, there would output a lot of error complaints which look like
Process Process-9:
Process Process-10:
Traceback (most recent call last):
Process Process-5:
File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Traceback (most recent call last):
File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Traceback (most recent call last):
self.run()
File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
self._target(*self._args, **self._kwargs)
File "/paddle_work/models/fluid/DeepASR/data_utils/data_reader.py", line 264, in ordered_processing_task
Exception in thread Thread-1:
Traceback (most recent call last):
File "/usr/lib/python2.7/threading.py", line 801, in __bootstrap_inner
self.run()
File "/usr/lib/python2.7/threading.py", line 754, in run
self.__target(*self.__args, **self.__kwargs)
File "/paddle_work/models/fluid/DeepASR/data_utils/data_reader.py", line 317, in batch_assembling_task
for sample in sample_generator():
File "/paddle_work/models/fluid/DeepASR/data_utils/data_reader.py", line 291, in _sample_generator
sample = sample_queue.get()
File "<string>", line 2, in get
File "/usr/lib/python2.7/multiprocessing/managers.py", line 759, in _callmethod
kind, result = conn.recv()
IOError: [Errno 104] Connection reset by peer
while order_id != out_order[0]:
File "<string>", line 2, in __getitem__
File "/usr/lib/python2.7/multiprocessing/managers.py", line 759, in _callmethod
self.run()
self.run()
The text was updated successfully, but these errors were encountered:
If the data reader is interrupted by
break
in thefor
loop orctrl+c
from keyboard when loading batch data iteratively, there would output a lot of error complaints which look likeThe text was updated successfully, but these errors were encountered: