This repository was archived by the owner on Sep 11, 2023. It is now read-only.
This repository was archived by the owner on Sep 11, 2023. It is now read-only.
RuntimeError: unable to open shared memory object </torch_2276740_2849291446> in read-write mode #158
Description
Describe the bug
prepare_ML_data.py just crashed with this error:
021-09-24 07:07:21,672 INFO ./prepare_ml_data.py 178 Got batch 7380
2021-09-24 07:07:44,543 INFO ./prepare_ml_data.py 178 Got batch 7381
2021-09-24 07:08:10,839 INFO ./prepare_ml_data.py 178 Got batch 7382
Traceback (most recent call last):
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/multiprocessing/queues.py", line 239, in _feed
obj = _ForkingPickler.dumps(obj)
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/multiprocessing/reduction.py", line 51, in dumps
cls(buf, protocol).dump(obj)
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/site-packages/torch/multiprocessing/reductions.py", line 319, in reduce_storage
metadata = storage._share_filename_()
RuntimeError: unable to open shared memory object </torch_2276740_2849291446> in read-write mode
Interestingly, I had to hit ctrl-c to actually exit the script. Doing so threw this error, which I think tells us where in our code the crash occured:
^CTraceback (most recent call last):
File "./prepare_ml_data.py", line 218, in <module>
main()
File "./prepare_ml_data.py", line 207, in main
iterate_over_dataloader_and_write_to_disk(datamodule.train_dataloader(), DST_TRAIN_PATH)
File "./prepare_ml_data.py", line 177, in iterate_over_dataloader_and_write_to_disk
for batch_i, batch in enumerate(dataloader):
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
data = self._next_data()
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1186, in _next_data
idx, data = self._get_data()
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1152, in _get_data
success, data = self._try_get_data()
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 990, in _try_get_data
data = self._data_queue.get(timeout=timeout)
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/multiprocessing/queues.py", line 107, in get
if not self._poll(timeout):
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/multiprocessing/connection.py", line 257, in poll
return self._poll(timeout)
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/multiprocessing/connection.py", line 424, in _poll
r = wait([self], timeout)
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/multiprocessing/connection.py", line 931, in wait
ready = selector.select(timeout)
File "/home/jack/miniconda3/envs/nowcasting_dataset/lib/python3.8/selectors.py", line 415, in select
fd_event_list = self._selector.poll(timeout)
KeyboardInterrupt
[1]+ Done emacs prepare_ml_data.py
Versions:
# packages in environment at /home/jack/miniconda3/envs/nowcasting_dataset:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_llvm conda-forge
absl-py 0.13.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.7.4.post0 py38h497a2fe_0 conda-forge
alsa-lib 1.2.3 h516909a_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
asciitree 0.3.3 py_2 conda-forge
async-timeout 3.0.1 py_1000 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
black 21.9b0 pyhd8ed1ab_0 conda-forge
blas 2.111 mkl conda-forge
blas-devel 3.9.0 11_linux64_mkl conda-forge
blinker 1.4 py_1 conda-forge
blosc 1.21.0 h9c3ff4c_0 conda-forge
boto3 1.18.14 pypi_0 pypi
botocore 1.21.41 pypi_0 pypi
bravado 11.0.3 pypi_0 pypi
bravado-core 5.17.0 pypi_0 pypi
brotli 1.0.9 h7f98852_5 conda-forge
brotli-bin 1.0.9 h7f98852_5 conda-forge
brotlipy 0.7.0 py38h497a2fe_1001 conda-forge
brunsli 0.1 h9c3ff4c_0 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.17.2 h7f98852_0 conda-forge
ca-certificates 2021.5.30 ha878542_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cachetools 4.2.2 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 h6cf1ce9_1008 conda-forge
certifi 2021.5.30 py38h578d9bd_0 conda-forge
cffi 1.14.6 py38h3931269_1 conda-forge
cfgv 3.3.1 pyhd8ed1ab_0 conda-forge
cfitsio 3.470 hb418390_7 conda-forge
cftime 1.5.0 py38hb5d20a5_0 conda-forge
chardet 4.0.0 py38h578d9bd_1 conda-forge
charls 2.2.0 h9c3ff4c_0 conda-forge
charset-normalizer 2.0.0 pyhd8ed1ab_0 conda-forge
click 8.0.1 py38h578d9bd_0 conda-forge
click-plugins 1.1.1 pypi_0 pypi
cligj 0.7.2 pypi_0 pypi
cloudpickle 2.0.0 pyhd8ed1ab_0 conda-forge
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coverage 5.5 pypi_0 pypi
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dask-core 2021.9.1 pyhd8ed1ab_0 conda-forge
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google-resumable-media 2.0.3 pypi_0 pypi
googleapis-common-protos 1.53.0 pypi_0 pypi
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h5py 3.3.0 nompi_py38h9915d05_100 conda-forge
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lame 3.100 h7f98852_1001 conda-forge
lcms2 2.12 hddcbb42_0 conda-forge
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
lerc 2.2.1 h9c3ff4c_0 conda-forge
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libcurl 7.79.0 h2574ce0_0 conda-forge
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libgcc-ng 11.2.0 h1d223b6_8 conda-forge
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networkx 2.6.3 pyhd8ed1ab_0 conda-forge
ninja 1.10.2 h4bd325d_0 conda-forge
nodeenv 1.6.0 pyhd8ed1ab_0 conda-forge
nowcasting-dataset 0.1.5 dev_0 <develop>
nspr 4.30 h9c3ff4c_0 conda-forge
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xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h516909a_0 conda-forge
yarl 1.6.3 py38h497a2fe_2 conda-forge
zarr 2.10.0 pyhd8ed1ab_0 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zfp 0.5.5 h9c3ff4c_6 conda-forge
zipp 3.5.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h516909a_1010 conda-forge
zstd 1.5.0 ha95c52a_0 conda-forge
To Reproduce
I fear this might be hard to reliably reproduce :)