A Strange Error OSError: [Errno 12] Cannot allocate memory

[czhxiaohuihui]

Calculating Evalaution Metric Scores......

loading annotations into memory...
0:00:00.743513
creating index...
index created!
Loading and preparing results...
DONE (t=0.07s)
creating index...
index created!
tokenization...
Traceback (most recent call last):
File "/home/chenzhanghui/.pycharm_helpers/pydev/pydevd.py", line 1741, in
main()
File "/home/chenzhanghui/.pycharm_helpers/pydev/pydevd.py", line 1735, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "/home/chenzhanghui/.pycharm_helpers/pydev/pydevd.py", line 1135, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "/home/chenzhanghui/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/chenzhanghui/code/showEditAndTell/editnet.py", line 828, in
word_map = word_map)
File "/home/chenzhanghui/code/showEditAndTell/editnet.py", line 727, in evaluate
cocoEval.evaluate()
File "coco-caption/pycocoevalcap/eval.py", line 36, in evaluate
gts = tokenizer.tokenize(gts)
File "coco-caption/pycocoevalcap/tokenizer/ptbtokenizer.py", line 54, in tokenize
stdout=subprocess.PIPE)
File "/home/chenzhanghui/anaconda3/envs/py36/lib/python3.6/subprocess.py", line 729, in init
restore_signals, start_new_session)
File "/home/chenzhanghui/anaconda3/envs/py36/lib/python3.6/subprocess.py", line 1295, in _execute_child
restore_signals, start_new_session, preexec_fn)
File "/home/chenzhanghui/.pycharm_helpers/pydev/_pydev_bundle/pydev_monkey.py", line 424, in new_fork_exec
return getattr(_posixsubprocess, original_name)(args, *other_args)
OSError: [Errno 12] Cannot allocate memory

When running the editnet.py, the error occurs.

Mostly because of this line of code in the class PTBTokenizer.
p_tokenizer = subprocess.Popen(cmd, cwd=path_to_jar_dirname,
stdout=subprocess.PIPE)
But I don't know how to solve it....

Can you help me with this?
When I run the dcnet.py, it can work normally !!!

[fawazsammani]

Hi. The METEOR metric creates another subprocess each time its called, and does not destroy the previous one. Therefore, each time you call METEOR, memory increases. Although this is a rare phenomenon, it can still happen. To solve this, add self.meteor_p.kill() after line 44 in meteor.py. Hope this helps. Feel free to re-open this issue if it didn't work.

[zxh19976666]

Hello！how to get the aoa_caps/results_train_beam+str(beam).json?
thanks!