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MNIST example fails with a BUS ERROR
See original GitHub issueBug Description
When I try to run the example code on the MNIST dataset, ` import autokeras as ak
from keras.datasets import mnist (X_train, Y_train), (X_test, Y_test) = mnist.load_data() X_train = X_train.reshape(X_train.shape + (1,)) X_test = X_test.reshape(X_test.shape + (1,)) clf = ak.ImageClassifier(verbose=True, augment=False) clf.fit(X_train, Y_train) `
it starts but fails with the following following error:
Initializing search. Initialization finished. Training model 0 Traceback (most recent call last): File “<string>”, line 1, in <module> File “/opt/conda/lib/python3.6/multiprocessing/spawn.py”, line 105, in spawn_main exitcode = _main(fd) File “/opt/conda/lib/python3.6/multiprocessing/spawn.py”, line 114, in _main prepare(preparation_data) File “/opt/conda/lib/python3.6/multiprocessing/spawn.py”, line 225, in prepare _fixup_main_from_path(data[‘init_main_from_path’]) File “/opt/conda/lib/python3.6/multiprocessing/spawn.py”, line 277, in _fixup_main_from_path run_name=“mp_main”) File “/opt/conda/lib/python3.6/runpy.py”, line 263, in run_path pkg_name=pkg_name, script_name=fname) File “/opt/conda/lib/python3.6/runpy.py”, line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File “/opt/conda/lib/python3.6/runpy.py”, line 85, in _run_code exec(code, run_globals) File “/home/amplifier/asdf.py”, line 9, in <module> clf.fit(X_train, Y_train) File “/opt/conda/lib/python3.6/site-packages/autokeras/image_supervised.py”, line 238, in fit run_searcher_once(train_data, test_data, self.path, int(time_remain)) File “/opt/conda/lib/python3.6/site-packages/autokeras/image_supervised.py”, line 41, in run_searcher_once searcher.search(train_data, test_data, timeout) File “/opt/conda/lib/python3.6/site-packages/autokeras/search.py”, line 165, in search pool = multiprocessing.Pool(1) File “/opt/conda/lib/python3.6/multiprocessing/context.py”, line 119, in Pool context=self.get_context()) File “/opt/conda/lib/python3.6/multiprocessing/pool.py”, line 174, in init self._repopulate_pool() File “/opt/conda/lib/python3.6/multiprocessing/pool.py”, line 239, in _repopulate_pool w.start() File “/opt/conda/lib/python3.6/multiprocessing/process.py”, line 105, in start self._popen = self._Popen(self) File “/opt/conda/lib/python3.6/multiprocessing/context.py”, line 284, in _Popen return Popen(process_obj) File “/opt/conda/lib/python3.6/multiprocessing/popen_spawn_posix.py”, line 32, in init super().init(process_obj) File “/opt/conda/lib/python3.6/multiprocessing/popen_fork.py”, line 19, in init self._launch(process_obj) File “/opt/conda/lib/python3.6/multiprocessing/popen_spawn_posix.py”, line 42, in _launch prep_data = spawn.get_preparation_data(process_obj._name) File “/opt/conda/lib/python3.6/multiprocessing/spawn.py”, line 143, in get_preparation_data _check_not_importing_main() File “/opt/conda/lib/python3.6/multiprocessing/spawn.py”, line 136, in _check_not_importing_main is not going to be frozen to produce an executable.‘’') RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
/opt/conda/lib/python3.6/multiprocessing/semaphore_tracker.py:143: UserWarning: semaphore_tracker: There appear to be 4 leaked semaphores to clean up at shutdown len(cache))
Setup Details
- Linux dc6923d20b78 4.15.0-24-generic #26~16.04.1-Ubuntu SMP Fri Jun 15 14:35:08 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux
- Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 17:14:51) [GCC 7.2.0] on linux
packages in environment at /opt/conda:
Name Version Build Channel
absl-py 0.2.2 <pip> alembic 0.9.9 py_0 conda-forge appdirs 1.4.3 py36h28b3542_0 anaconda arxiv 0.2.2 <pip> asn1crypto 0.24.0 py36_0 anaconda astor 0.7.1 <pip> async_generator 1.9 0 conda-forge atari-py 0.1.1 <pip> atomicwrites 1.1.5 py36_0 anaconda attrs 18.1.0 py36_0 anaconda audioread 2.1.5 py36_0 conda-forge autokeras 0.2.5 <pip> automat 0.7.0 py36_0 anaconda backcall 0.1.0 py_0 conda-forge binutils_impl_linux-64 2.28.1 had2808c_3 anaconda binutils_linux-64 7.2.0 had2808c_27 anaconda bkcharts 0.2 py36_0 anaconda blas 1.0 mkl anaconda bleach 2.1.3 py36_0 anaconda bleach 1.5.0 <pip> bokeh 0.13.0 py36_0 anaconda boto 2.48.0 py36_1 anaconda boto3 1.7.45 py36_0 anaconda botocore 1.10.45 py36_0 anaconda Box2D-kengz 2.3.3 <pip> bz2file 0.98 py36_1 anaconda bzip2 1.0.6 h14c3975_5 anaconda ca-certificates 2018.4.16 0 conda-forge cairo 1.14.12 h77bcde2_0 defaults catboost 0.9.1.1 py36_1 conda-forge certifi 2018.4.16 py36_0 conda-forge cffi 1.11.5 py36h9745a5d_0 anaconda chardet 3.0.4 py36_0 conda-forge click 6.7 py36_0 anaconda cloudpickle 0.5.3 py36_0 anaconda colorama 0.3.9 <pip> conda 4.5.5 py36_0 conda-forge conda-env 2.6.0 0 conda-forge configurable-http-proxy 3.1.0 node8_1 conda-forge constantly 15.1.0 py36h28b3542_0 anaconda cryptography 2.2.2 py36h14c3975_0 anaconda cuda90 1.0 h6433d27_0 pytorch cudatoolkit 9.0 h13b8566_0 anaconda curl 7.60.0 0 conda-forge cycler 0.10.0 py36_0 anaconda Cython 0.28.4 <pip> dask-core 0.18.1 py36_0 anaconda dbus 1.13.0 h3a4f0e9_0 conda-forge decorator 4.3.0 py36_0 anaconda dill 0.2.8.2 py36_0 anaconda docutils 0.14 py36_0 anaconda entrypoints 0.2.3 py36_2 anaconda enum34 1.1.6 <pip> expat 2.2.5 he0dffb1_0 anaconda fastcache 1.0.2 py36h14c3975_2 anaconda feedparser 5.2.1 <pip> ffmpeg 2.8.6 hf82bc7d_7 conda-forge flatbuffers 2015.12.22.1 <pip> fontconfig 2.13.0 h074f895_2 conda-forge freetype 2.8.1 0 conda-forge funcsigs 1.0.2 py36_0 anaconda future 0.16.0 py36_1 anaconda gast 0.2.0 <pip> gcc_impl_linux-64 7.2.0 habb00fd_3 anaconda gcc_linux-64 7.2.0 h550dcbe_27 anaconda glfw 1.7.0 <pip> glib 2.53.6 h5d9569c_2 defaults gmp 6.1.2 hfc679d8_0 conda-forge gmpy2 2.0.8 py36h10f8cd9_2 anaconda graphite2 1.3.11 hfc679d8_0 conda-forge grpcio 1.13.0 <pip> gsl 2.1 2 conda-forge gst-plugins-base 1.12.4 h33fb286_0 defaults gstreamer 1.12.4 hb53b477_0 defaults gxx_impl_linux-64 7.2.0 hdf63c60_3 anaconda gxx_linux-64 7.2.0 h550dcbe_27 anaconda gym 0.10.5 <pip> h5py 2.8.0 py36h8d01980_0 anaconda harfbuzz 1.7.6 hc5b324e_0 defaults hdf5 1.10.2 hba1933b_1 anaconda html5lib 0.9999999 <pip> html5lib 1.0.1 py36_0 anaconda hyperas 0.4 <pip> hyperlink 18.0.0 py36_0 anaconda hyperopt 0.1 <pip> icu 58.2 h9c2bf20_1 anaconda idna 2.7 py36_0 anaconda imageio 2.3.0 py36_0 anaconda incremental 17.5.0 py36_0 anaconda intel-openmp 2018.0.3 0 anaconda ipykernel 4.8.2 py36_0 anaconda ipython 6.4.0 py36_1 anaconda ipython_genutils 0.2.0 py36_0 anaconda ipyvolume 0.4.6 <pip> ipywebrtc 0.3.0 <pip> ipywidgets 7.2.1 py36_0 anaconda isodate 0.6.0 py36_0 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0.13.0 <pip> libcurl 7.60.0 h1ad7b7a_0 anaconda libedit 3.1.20170329 h6b74fdf_2 anaconda libffi 3.2.1 hd88cf55_4 anaconda libgcc 7.2.0 h69d50b8_2 anaconda libgcc-ng 7.2.0 hdf63c60_3 defaults libgfortran 3.0.0 1 anaconda libgfortran-ng 7.2.0 hdf63c60_3 anaconda libgpuarray 0.7.6 h14c3975_0 anaconda libiconv 1.15 h63c8f33_5 anaconda libpng 1.6.34 hb9fc6fc_0 anaconda librosa 0.6.1 py_1 conda-forge libsodium 1.0.16 h1bed415_0 anaconda libssh2 1.8.0 h9cfc8f7_4 anaconda libstdcxx-ng 7.2.0 hdf63c60_3 defaults libtiff 4.0.9 he85c1e1_1 anaconda libuuid 1.0.3 h1bed415_2 anaconda libxcb 1.13 h1bed415_1 anaconda libxml2 2.9.8 h26e45fe_1 anaconda libxslt 1.1.32 h1312cb7_0 anaconda lightfm 1.15 py36h7eb728f_0 conda-forge llvmlite 0.24.0 py36hdbcaa40_0 anaconda lxml 4.2.2 py36hf71bdeb_0 anaconda magma-cuda90 2.3.0 1 pytorch mako 1.0.7 py36_0 conda-forge Markdown 2.6.11 <pip> markupsafe 1.0 py36h14c3975_1 anaconda matlab-kernel 0.15.1 <pip> matlabengineforpython R2017b <pip> matlabengineforpython R2016a <pip> matlabengineforpython R2018a <pip> matplotlib 2.2.2 py36h0e671d2_1 defaults metakernel 0.20.14 <pip> mistune 0.8.3 py36h14c3975_1 anaconda mkl 2018.0.3 1 anaconda mkl-service 1.1.2 py36h651fb7a_4 anaconda mkl_fft 1.0.2 py36h651fb7a_0 anaconda mkl_random 1.0.1 py36h4414c95_1 anaconda mne 0.16.2 <pip> mock 2.0.0 py36_0 anaconda more-itertools 4.2.0 py36_0 anaconda mpc 1.1.0 h10f8cd9_1 anaconda mpfr 4.0.1 hdf1c602_3 anaconda mpmath 1.0.0 py36_2 anaconda mujoco-py 1.50.1.56 <pip> nbconvert 5.3.1 py36_0 anaconda nbformat 4.4.0 py36_0 anaconda nccl2 1.0 0 pytorch ncurses 6.1 hf484d3e_0 anaconda networkx 2.1 py36_0 anaconda nibabel 2.3.0 pyh24bf2e0_1 conda-forge nilearn 0.4.2 pyh24bf2e0_0 conda-forge ninja 1.8.2 py36h6bb024c_1 anaconda nipy 0.4.1 py36_1 conda-forge nipype 1.1.0 py36_0 conda-forge nitime 0.7 py36_1 conda-forge niwidgets 0.2.1 <pip> nodejs 8.11.3 hf484d3e_0 anaconda nose 1.3.7 py36_2 anaconda notebook 5.6.0 py36_0 anaconda numba 0.39.0 py36h04863e7_0 anaconda numpy 1.14.5 py36h1b885b7_4 anaconda numpy-base 1.14.5 py36hdbf6ddf_4 anaconda olefile 0.45.1 py36_0 anaconda opencv-python 3.4.1.15 <pip> openssl 1.0.2o 0 conda-forge packaging 17.1 py36_0 anaconda pamela 0.3.0 py36_0 conda-forge pandas 0.23.3 py36h04863e7_0 anaconda pandoc 2.2.1 0 conda-forge pandocfilters 1.4.2 py36_1 anaconda pango 1.40.14 hd50be51_1 conda-forge parso 0.3.0 py_0 conda-forge path.py 11.0.1 py36_0 anaconda patsy 0.5.0 py36_0 anaconda pbr 4.0.4 py36_0 anaconda pcre 8.39 0 conda-forge pexpect 4.6.0 py36_0 anaconda pickleshare 0.7.4 py36_0 anaconda pillow 5.2.0 py36_0 conda-forge pip 10.0.1 py36_0 anaconda pip 18.0 <pip> pixman 0.34.0 2 conda-forge plotly 2.7.0 py36_1 anaconda pluggy 0.6.0 py36_0 anaconda ply 3.11 <pip> prometheus_client 0.2.0 py36_0 anaconda prompt_toolkit 1.0.15 py36_0 anaconda protobuf 3.6.0 <pip> prov 1.5.0 py36_0 conda-forge psutil 5.4.6 py36h14c3975_0 anaconda ptyprocess 0.6.0 py36_0 anaconda py 1.5.4 py36_0 anaconda pyasn1 0.4.3 py36_0 anaconda 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- Created 5 years ago
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I figured it out for myself. The docker container I was using was 2G memory. I increased it to 16G and restarted the docker image by adding
--shm-size 16Gwhen runningdocker run. It solved my problems. Hope it helps.This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.