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About script runs/cls_train.py #14

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dongqing065269 opened this issue Aug 1, 2018 · 0 comments
Open

About script runs/cls_train.py #14

dongqing065269 opened this issue Aug 1, 2018 · 0 comments

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@dongqing065269
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Hello, when i run the scripts runs/cls_train.py, i met the problems , can you help me solve it out? thanks very much!
Traceback (most recent call last):
File "", line 1, in
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\spawn.py", line 115, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
Exception in thread Thread-2:
Traceback (most recent call last):
File "D:\Anaconda3\envs\tensorflow_gpu\lib\threading.py", line 916, in _bootstrap_inner
self.run()
File "D:\Anaconda3\envs\tensorflow_gpu\lib\threading.py", line 864, in run
self._target(*self._args, **self._kwargs)
File "D:\Anaconda3\envs\tensorflow_gpu\lib\site-packages\keras\utils\data_utils.py", line 548, in _run
with closing(self.executor_fn(_SHARED_SEQUENCES)) as executor:
File "D:\Anaconda3\envs\tensorflow_gpu\lib\site-packages\keras\utils\data_utils.py", line 522, in
initargs=(seqs,))
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\context.py", line 119, in Pool
context=self.get_context())
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\pool.py", line 174, in init
self._repopulate_pool()
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\pool.py", line 239, in _repopulate_pool
w.start()
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "D:\Anaconda3\envs\tensorflow_gpu\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
OverflowError: cannot serialize a bytes object larger than 4 GiB

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