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MNIST example fails with a BUS ERROR #118

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RomanKoshkin opened this issue Aug 22, 2018 · 16 comments
Closed

MNIST example fails with a BUS ERROR #118

RomanKoshkin opened this issue Aug 22, 2018 · 16 comments

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@RomanKoshkin
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RomanKoshkin commented Aug 22, 2018

Bug 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 "", line 1, in
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
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

packages in environment at /opt/conda:

Name Version Build Channel

absl-py 0.2.2
alembic 0.9.9 py_0 conda-forge
appdirs 1.4.3 py36h28b3542_0 anaconda
arxiv 0.2.2
asn1crypto 0.24.0 py36_0 anaconda
astor 0.7.1
async_generator 1.9 0 conda-forge
atari-py 0.1.1
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
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
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
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
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
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
expat 2.2.5 he0dffb1_0 anaconda
fastcache 1.0.2 py36h14c3975_2 anaconda
feedparser 5.2.1
ffmpeg 2.8.6 hf82bc7d_7 conda-forge
flatbuffers 2015.12.22.1
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
gcc_impl_linux-64 7.2.0 habb00fd_3 anaconda
gcc_linux-64 7.2.0 h550dcbe_27 anaconda
glfw 1.7.0
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
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
h5py 2.8.0 py36h8d01980_0 anaconda
harfbuzz 1.7.6 hc5b324e_0 defaults
hdf5 1.10.2 hba1933b_1 anaconda
html5lib 0.9999999
html5lib 1.0.1 py36_0 anaconda
hyperas 0.4
hyperlink 18.0.0 py36_0 anaconda
hyperopt 0.1
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
ipywebrtc 0.3.0
ipywidgets 7.2.1 py36_0 anaconda
isodate 0.6.0 py36_0 anaconda
isort 4.3.4
jbig 2.1 hdba287a_0 anaconda
jedi 0.12.0 py36_1 anaconda
jinja2 2.10 py36_0 anaconda
jmespath 0.9.3 py36_0 anaconda
joblib 0.12 py36_0 anaconda
jpeg 9c h470a237_0 conda-forge
jsonschema 2.6.0 py36_0 anaconda
jupyter 1.0.0 py36_4 anaconda
jupyter-tensorboard 0.1.6
jupyter_client 5.2.3 py36_0 anaconda
jupyter_console 5.2.0 py36_1 anaconda
jupyter_contrib_core 0.3.3 py_2 conda-forge
jupyter_contrib_nbextensions 0.5.0 py36_0 conda-forge
jupyter_core 4.4.0 py36_0 anaconda
jupyter_highlight_selected_word 0.2.0 py36_0 conda-forge
jupyter_latex_envs 1.4.4 py36_0 conda-forge
jupyter_nbextensions_configurator 0.4.0 py36_0 conda-forge
jupyterhub 0.9.1 py36_0 conda-forge
jupyterlab 0.32.1 py36_0 conda-forge
jupyterlab_launcher 0.10.5 py36_0 conda-forge
jupyterthemes 0.19.1
keepalive 0.5 py_1 conda-forge
Keras 2.2.2
Keras-Applications 1.0.4
Keras-Preprocessing 1.0.2
kiwisolver 1.0.1 py36hf484d3e_0 anaconda
krb5 1.14.6 0 conda-forge
lesscpy 0.13.0
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
markupsafe 1.0 py36h14c3975_1 anaconda
matlab-kernel 0.15.1
matlabengineforpython R2017b
matlabengineforpython R2016a
matlabengineforpython R2018a
matplotlib 2.2.2 py36h0e671d2_1 defaults
metakernel 0.20.14
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
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
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
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
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
pixman 0.34.0 2 conda-forge
plotly 2.7.0 py36_1 anaconda
pluggy 0.6.0 py36_0 anaconda
ply 3.11
prometheus_client 0.2.0 py36_0 anaconda
prompt_toolkit 1.0.15 py36_0 anaconda
protobuf 3.6.0
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
pyasn1-modules 0.2.2 py36_0 anaconda
pycosat 0.6.3 py36_0 conda-forge
pycparser 2.18 py36_1 anaconda
pycurl 7.43.0.2 py36hb7f436b_0 anaconda
pydicom 1.1.0 py_0 conda-forge
pydot 1.2.4 py36_0 anaconda
pydotplus 2.0.2 py36_0 anaconda
pyglet 1.3.2
pygments 2.2.0 py36_0 anaconda
pygpu 0.7.6 py36h035aef0_0 anaconda
pymatbridge 0.5.2
pymongo 3.7.1
PyOpenGL 3.1.0
pyopenssl 18.0.0 py36_0 anaconda
pyparsing 2.2.0 py36_1 anaconda
pyqt 5.9.2 py36h751905a_0 defaults
pysocks 1.6.8 py36_1 conda-forge
pytest 3.6.2 py36_0 anaconda
python 3.6.6 hc3d631a_0 anaconda
python-dateutil 2.7.3 py36_0 anaconda
python-editor 1.0.3 py36_0 conda-forge
python-oauth2 1.0.1 py36_0 conda-forge
pytorch 0.4.0 py36_cuda9.0.176_cudnn7.1.2_1 [cuda90] pytorch
pytz 2018.5 py36_0 anaconda
pywavelets 0.5.2 py36h035aef0_2 anaconda
pyyaml 3.12 py36h14c3975_1 anaconda
pyzmq 17.0.0 py36h14c3975_3 anaconda
qt 5.9.4 h4e5bff0_0 defaults
qtconsole 4.3.1 py36_0 anaconda
r-abind 1.4_5 r3.4.1_0 conda-forge
r-acepack 1.4.1 r3.4.1_0 conda-forge
r-assertthat 0.2.0 r3.4.1_0 conda-forge
r-backports 1.1.2 r3.4.1_0 conda-forge
r-base 3.4.1 hff14c37_5 conda-forge
r-base64enc 0.1_3 r3.4.1_0 conda-forge
r-bh 1.66.0_1 r3.4.1_0 conda-forge
r-bindr 0.1.1 r3.4.1_0 conda-forge
r-bindrcpp 0.2.2 r341h9d2a408_0 conda-forge
r-bit 1.1_12 r3.4.1_0 conda-forge
r-bit64 0.9_5 r3.4.1_0 conda-forge
r-bitops 1.0_6 r3.4.1_0 conda-forge
r-blob 1.1.1 r3.4.1_0 conda-forge
r-boot 1.3_20 r3.4.1_0 conda-forge
r-broom 0.5.0 r341_0 conda-forge
r-car 2.1_4 r3.4.1_0 conda-forge
r-caret 6.0_80 r341hc070d10_0 conda-forge
r-cellranger 1.1.0 r3.4.1_0 conda-forge
r-checkmate 1.8.5 r3.4.1_0 conda-forge
r-class 7.3_14 r3.4.1_0 conda-forge
r-cli 1.0.0 r3.4.1_0 conda-forge
r-cluster 2.0.6 r3.4.1_0 conda-forge
r-codetools 0.2_15 r3.4.1_0 conda-forge
r-colorspace 1.3_2 r3.4.1_0 conda-forge
r-combinat 0.0_8 r3.4.1_0 conda-forge
r-crayon 1.3.4 r3.4.1_0 conda-forge
r-crosstalk 1.0.0 r3.4.1_0 conda-forge
r-curl 3.2 r3.4.1_0 conda-forge
r-cvst 0.2_1 r3.4.1_0 conda-forge
r-data.table 1.11.4 r341hc070d10_0 conda-forge
r-dbi 1.0.0 r341_0 conda-forge
r-dbplyr 1.2.1 r341_1 conda-forge
r-ddalpha 1.3.4 r341_0 conda-forge
r-deoptimr 1.0_8 r3.4.1_0 conda-forge
r-devtools 1.13.6 r341_0 conda-forge
r-dichromat 2.0_0 r3.4.1_0 conda-forge
r-digest 0.6.15 r3.4.1_0 conda-forge
r-dimred 0.1.0 r3.4.1_0 conda-forge
r-dplyr 0.7.6 r341h9d2a408_0 conda-forge
r-drr 0.0.3 r3.4.1_0 conda-forge
r-evaluate 0.10.1 r3.4.1_0 conda-forge
r-forcats 0.3.0 r3.4.1_0 conda-forge
r-foreach 1.4.4 r3.4.1_0 conda-forge
r-forecast 8.2 r3.4.1_0 conda-forge
r-foreign 0.8_67 r3.4.1_0 conda-forge
r-formula 1.2_1 r3.4.1_0 conda-forge
r-fracdiff 1.4_2 r3.4.1_0 conda-forge
r-gbm 2.1.3 r3.4.1_0 conda-forge
r-geometry 0.3_6 r3.4.1_0 conda-forge
r-ggjoy 0.4.1 r341_0 conda-forge
r-ggplot2 3.0.0 r341h6115d3f_0 conda-forge
r-ggridges 0.5.0 r3.4.1_0 conda-forge
r-ggthemes 3.5.0 r341_0 conda-forge
r-ggvis 0.4.3 r3.4.1_0 conda-forge
r-git2r 0.21.0 r341h0c37787_0 conda-forge
r-glmnet 2.0_5 r3.4.1_0 conda-forge
r-glue 1.3.0 r341_0 conda-forge
r-gower 0.1.2 r3.4.1_0 conda-forge
r-gridextra 2.3 r3.4.1_0 conda-forge
r-gsubfn 0.6_6 r3.4.1_0 conda-forge
r-gtable 0.2.0 r3.4.1_0 conda-forge
r-haven 1.1.2 r341_0 conda-forge
r-hexbin 1.27.2 r3.4.1_0 conda-forge
r-highr 0.7 r341_0 conda-forge
r-hmisc 4.0_3 r3.4.1_0 conda-forge
r-hms 0.3 r3.4.1_0 conda-forge
r-htmltable 1.9 r3.4.1_0 conda-forge
r-htmltools 0.3.6 r3.4.1_0 conda-forge
r-htmlwidgets 1.0 r3.4.1_0 conda-forge
r-httpuv 1.3.6.2 r3.4.1_0 conda-forge
r-httr 1.3.1 r3.4.1_0 conda-forge
r-ipred 0.9_6 r3.4.1_0 conda-forge
r-irdisplay 0.4.4 r3.4.1_0 conda-forge
r-irkernel 0.8.12 r341_0 conda-forge
r-iterators 1.0.10 r341_0 conda-forge
r-jsonlite 1.5 r3.4.1_0 conda-forge
r-kernlab 0.9_25 r3.4.1_0 conda-forge
r-kernsmooth 2.23_15 r3.4.1_0 conda-forge
r-klar 0.6_12 r3.4.1_0 conda-forge
r-knitr 1.20 r3.4.1_0 conda-forge
r-labeling 0.3 r3.4.1_0 conda-forge
r-lattice 0.20_34 r3.4.1_0 conda-forge
r-latticeextra 0.6_28 r3.4.1_0 conda-forge
r-lava 1.6.2 r341_0 conda-forge
r-lazyeval 0.2.1 r3.4.1_0 conda-forge
r-leaflet 2.0.1 r341_0 conda-forge
r-leaps 3.0 r3.4.1_0 conda-forge
r-lme4 1.1_13 r3.4.1_0 conda-forge
r-lmertest 2.0_33 r3.4.1_0 conda-forge
r-lmtest 0.9_35 r3.4.1_0 conda-forge
r-lubridate 1.7.4 r3.4.1_0 conda-forge
r-magic 1.5_6 r3.4.1_0 conda-forge
r-magrittr 1.5 r3.4.1_0 conda-forge
r-markdown 0.8 r3.4.1_1 conda-forge
r-mass 7.3_50 r341hc070d10_0 conda-forge
r-matrix 1.2_14 r3.4.1_0 conda-forge
r-matrixmodels 0.4_1 r3.4.1_0 conda-forge
r-memoise 1.1.0 r3.4.1_0 conda-forge
r-mgcv 1.8_24 r341_0 conda-forge
r-mime 0.5 r3.4.1_0 conda-forge
r-minqa 1.2.4 r3.4.1_0 conda-forge
r-mnormt 1.5_5 r3.4.1_0 conda-forge
r-modelmetrics 1.1.0 r3.4.1_0 conda-forge
r-modelr 0.1.2 r341_0 conda-forge
r-munsell 0.5.0 r341_0 conda-forge
r-nlme 3.1_131 r3.4.1_0 conda-forge
r-nloptr 1.0.4 r3.4.1_1 conda-forge
r-nnet 7.3_12 r3.4.1_0 conda-forge
r-numderiv 2016.8_1 r3.4.1_0 conda-forge
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r-rpart 4.1_13 r3.4.1_0 conda-forge
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r-rsqlite 2.0 r3.4.1_0 conda-forge
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r-sfsmisc 1.1_1 r3.4.1_0 conda-forge
r-shiny 1.0.5 r3.4.1_0 conda-forge
r-sourcetools 0.1.6 r3.4.1_0 conda-forge
r-sp 1.2_7 r341h470a237_1 conda-forge
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r-squarem 2017.10_1 r3.4.1_0 conda-forge
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r-tibble 1.4.2 r3.4.1_0 conda-forge
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r-tidyverse 1.1.1 r3.4.1_0 conda-forge
r-timedate 3012.100 r3.4.1_0 conda-forge
r-tinytex 0.5 r341h6115d3f_0 conda-forge
r-tseries 0.10_40 r3.4.1_0 conda-forge
r-utf8 1.1.3 r3.4.1_0 conda-forge
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r-viridis 0.5.1 r3.4.1_0 conda-forge
r-viridislite 0.3.0 r3.4.1_0 conda-forge
r-whisker 0.3_2 r3.4.1_0 conda-forge
r-withr 2.1.1 r3.4.1_0 conda-forge
r-xml2 1.2.0 r341_0 conda-forge
r-xtable 1.8_2 r3.4.1_0 conda-forge
r-yaml 2.1.19 r341_0 conda-forge
r-zoo 1.8_2 r341hc070d10_0 conda-forge
ray 0.5.0
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readline 7.0 ha6073c6_4 anaconda
redis 2.10.6
requests 2.19.1 py36_0 anaconda
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rise 5.3.0 py36_0 damianavila82
rpy2 2.9.4 py36r341h24bf2e0_0 conda-forge
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s3transfer 0.1.13 py36_0 anaconda
scikit-image 0.14.0 py36hf484d3e_1 anaconda
scikit-learn 0.19.1 py36hedc7406_0 anaconda
scipy 1.1.0 py36hc49cb51_0 anaconda
seaborn 0.8.1 py36_0 anaconda
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setuptools 39.1.0
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simplejson 3.15.0 py36h14c3975_0 anaconda
sip 4.19.8 py36hf484d3e_0 anaconda
six 1.11.0 py36_1 anaconda
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tabulate 0.8.2 py36_0 anaconda
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tensorflow 1.8.0
tensorflow-gpu 1.8.0
termcolor 1.1.0
terminado 0.8.1 py36_1 anaconda
testpath 0.3.1 py36_0 anaconda
theano 1.0.2 py36h6bb024c_0 anaconda
tk 8.6.7 hc745277_3 anaconda
toolz 0.9.0 py36_0 anaconda
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torchvision 0.2.1 py36_1 pytorch
tornado 5.0.2 py36h14c3975_0 anaconda
tqdm 4.23.4 py36_0 anaconda
traitlets 4.3.2 py36_0 anaconda
traits 4.6.0 py36h14c3975_2 anaconda
traittypes 0.2.1
twisted 17.5.0 py36_0 defaults
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unixodbc 2.3.5 h09ba92c_1 conda-forge
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xorg-libsm 1.2.2 h470a237_3 conda-forge
xorg-libx11 1.6.5 h470a237_1 conda-forge
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xorg-libxrender 0.9.10 h470a237_1 conda-forge
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zlib 1.2.11 ha838bed_2 anaconda
zope 1.0 py36_0 anaconda
zope.interface 4.5.0 py36h14c3975_0 anaconda

@eagleoflqj
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I think it's not an autokeras error.
Try to put your code into if __name__=='__main__':
like this

if __name__=='__main__':
    (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)

@RomanKoshkin
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Tried it. Still keep getting the error.

@lsheiba
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lsheiba commented Aug 28, 2018

Having a similar problem:

Initializing search.
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43]
Initialization finished.
Training model 0
Bus error (core dumped)
root@autokeras-v2-jupyter-56787d65fb-lbkpn:/notebooks# Using TensorFlow backend.
/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))

@ghost
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ghost commented Aug 31, 2018

I have the same issue. anyone has the answer?

@RomanKoshkin
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Any advice on how this could be done, please? You don't mean physical dismounting, do you?

@RomanKoshkin
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RomanKoshkin commented Aug 31, 2018

Here's what I get from nvidia-smi:

Fri Aug 31 10:03:59 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 396.54 Driver Version: 396.54 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 108... Off | 00000000:05:00.0 On | N/A |
| 21% 34C P8 18W / 250W | 1121MiB / 11170MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 108... Off | 00000000:06:00.0 Off | N/A |
| 21% 33C P8 17W / 250W | 7012MiB / 11178MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 GeForce GTX 108... Off | 00000000:09:00.0 Off | N/A |
| 21% 33C P8 16W / 250W | 1244MiB / 11178MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 GeForce GTX 108... Off | 00000000:0A:00.0 Off | N/A |
| 21% 32C P8 18W / 250W | 227MiB / 11178MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 1 430 C /opt/conda/bin/python 6785MiB |
+-----------------------------------------------------------------------------+

@ghost
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ghost commented Aug 31, 2018

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 16G when running docker run. It solved my problems. Hope it helps.

@xieqihui
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xieqihui commented Sep 25, 2018

I got the same issue. And I have 24 GB memory for my docker container to use. There is only one GTX 1080 GPU.
My configuration has no problem running the Keras mnist example

@yogurfrul
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yogurfrul commented Oct 9, 2018

same with @lincoln-jiang
maybe the multiprocessing of searcher need more shm-size than default

@hoangphzalora
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I think @eagleoflqj comment is right but we need put code in the main function as follow.

import autokeras as ak

from keras.datasets import mnist
def main():
    (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)

if __name__ == "__main__":
    main()

Ref: https://stackoverflow.com/questions/24374288/where-to-put-freeze-support-in-a-python-script

@nathanningbo
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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 16G when running docker run. It solved my problems. Hope it helps.

It helps ! Thanks

@Eton
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Eton commented Jan 16, 2019

Having a same problem

Is this error cause by #26 ?

@haifeng-jin
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Having a same problem

Is this error cause by #26 ?

That issue is already fixed, it won't cause a bus error.
Were you using the latest version?

Thanks.

@stale
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stale bot commented Aug 12, 2019

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.

@stale stale bot added the wontfix label Aug 12, 2019
@stale stale bot closed this as completed Aug 19, 2019
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