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Jupyter Interactive Notebook
https://jupyter-notebook.readthedocs.io/
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PyTorch: The kernel appears to have died. It will restart automatically. #2784

Open Jiankai-Sun opened 7 years ago

Jiankai-Sun commented 7 years ago

System: Ubuntu 16.04 LTS 64-bit

As the picture shows, after import torch, the kernel died and restarting. test

Python version

Python 2.7.12 (default, Nov 19 2016, 06:48:10) 
[GCC 5.4.0 20160609] on linux2

Details:

(python2) jack@jack:~/Documents/Deep Learning with PyTorch: A 60 Minute Blitz$ jupyter notebook
[I 15:26:30.398 NotebookApp] Serving notebooks from local directory: /home/jack/Documents/Deep Learning with PyTorch: A 60 Minute Blitz
[I 15:26:30.398 NotebookApp] 0 active kernels 
[I 15:26:30.398 NotebookApp] The Jupyter Notebook is running at: http://localhost:8888/?token=49db8d981f751975f4cb6633164c415cfe141808400a0bdf
[I 15:26:30.398 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 15:26:30.398 NotebookApp] 

    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://localhost:8888/?token=49db8d981f751975f4cb6633164c415cfe141808400a0bdf
[I 15:26:30.834 NotebookApp] Accepting one-time-token-authenticated connection from 127.0.0.1
[29433:29469:0820/152630.858811:ERROR:browser_gpu_channel_host_factory.cc(103)] Failed to launch GPU process.
Created new window in existing browser session.
[I 15:26:35.568 NotebookApp] Creating new notebook in 
[W 15:26:36.333 NotebookApp] 404 GET /nbextensions/widgets/notebook/js/extension.js?v=20170820152629 (127.0.0.1) 14.65ms referer=http://localhost:8888/notebooks/Untitled.ipynb?kernel_name=python2
[I 15:26:36.434 NotebookApp] Kernel started: f519f0e3-9c12-47e2-becf-fbd97e79c284
[I 15:26:37.219 NotebookApp] Adapting to protocol v5.1 for kernel f519f0e3-9c12-47e2-becf-fbd97e79c284
*** Error in `/home/jack/Applications/pythonEnv/python2/bin/python': free(): invalid pointer: 0x00007f4ad22b1b80 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7f4b0176d7e5]
/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7f4b0177637a]
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f4b0177a53c]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libshm.so(_ZNSt6locale5_Impl16_M_install_facetEPKNS_2idEPKNS_5facetE+0x142)[0x7f4ad204b802]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libshm.so(_ZNSt6locale5_ImplC2Em+0x1e3)[0x7f4ad204d953]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libshm.so(_ZNSt6locale18_S_initialize_onceEv+0x15)[0x7f4ad204e8c5]
/lib/x86_64-linux-gnu/libpthread.so.0(+0xea99)[0x7f4b01acea99]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libshm.so(_ZNSt6locale13_S_initializeEv+0x21)[0x7f4ad204e911]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libshm.so(_ZNSt6localeC1Ev+0x13)[0x7f4ad204e953]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libshm.so(_ZNSt8ios_base4InitC1Ev+0xb4)[0x7f4ad20201b4]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libcusparse-652fe42d.so.7.5.18(+0x2a5a14)[0x7f4aaebfba14]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libcusparse-652fe42d.so.7.5.18(+0x2a6aa3)[0x7f4aaebfcaa3]
/home/jack/Applications/pythonEnv/python2/local/lib/python2.7/site-packages/torch/lib/libcusparse-652fe42d.so.7.5.18(+0x335026)[0x7f4aaec8b026]
======= Memory map: ========
00400000-006ea000 r-xp 00000000 08:08 3408578                            /home/jack/Applications/pythonEnv/python2/bin/python
008e9000-008eb000 r--p 002e9000 08:08 3408578                            /home/jack/Applications/pythonEnv/python2/bin/python
008eb000-00962000 rw-p 002eb000 08:08 3408578                            /home/jack/Applications/pythonEnv/python2/bin/python
00962000-00985000 rw-p 00000000 00:00 0 
02065000-02cfc000 rw-p 00000000 00:00 0                                  [heap]
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7f4aae956000-7f4ab0c5b000 r-xp 00000000 08:08 4086607                    /home/jack/Applications/pythonEnv/python2/lib/python2.7/site-packages/torch/lib/libcusparse-652fe42d.so.7.5.18
7f4ab0c5b000-7f4ab0e5a000 ---p 02305000 08:08 4086607                    /home/jack/Applications/pythonEnv/python2/lib/python2.7/site-packages/torch/lib/libcusparse-652fe42d.so.7.5.18
7f4ab0e5a000-7f4ab0e72000 rw-p 02304000 08:08 4086607                    /home/jack/Applications/pythonEnv/python2/lib/python2.7/site-packages/torch/lib/libcusparse-652fe42d.so.7.5.18
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7f4abc2e9000-7f4abc2eb000 rw-p 0015f000 08:08 4086591                    /home/jack/Applications/pythonEnv/python2/lib/python2.7/site-packages/torch/lib/libTHCS.so.1
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7f4afeebf000-7f4afeec0000 rw-p 00004000 08:08 3409497                    /home/jack/Applications/pythonEnv/python2/lib/python2.7/site-packages/_scandir.so
7f4afeec0000-7f4afef1e000 r-xp 00000000 08:08 4718621                    /lib/x86_64-linux-gnu/libssl.so.1.0.0
7f4afef1e000-7f4aff11e000 ---p 0005e000 08:08 4718621                    /lib/x86_64-linux-gnu/libssl.so.1.0.0
7f4aff11e000-7f4aff122000 r--p 0005e000 08:08 4718621                    /lib/x86_64-linux-gnu/libssl.so.1.0.0
7f4aff122000-7f4aff129000 rw-p 00062000 08:08 4718621                    /lib/x86_64-linux-gnu/libssl.so.1.0.0
7f4aff129000-7f4aff13e000 r-xp 00000000 08:08 5245608                    /usr/lib/python2.7/lib-dynload/_ssl.x86_64-linux-gnu.so
7f4aff13e000-7f4aff33d000 ---p 00015000 08:08 5245608                    /usr/lib/python2.7/lib-dynload/_ssl.x86_64-linux-gnu.so
7f4aff33d000-7f4aff33e000 r--p 00014000 08:08 5245608                    /usr/lib/python2.7/lib-dynload/_ssl.x86_64-linux-gnu.so
7f4aff33e000-7f4aff342000 rw-p 00015000 08:08 5245608                    /usr/lib/python2.7/lib-dynload/_ssl.x86_64-linux-gnu.so
7f4aff342000-7f4aff349000 r-xp 00000000 08:08 5120655                    /usr/lib/x86_64-linux-gnu/libffi.so.6.0.4
7f4aff349000-7f4aff548000 ---p 00007000 08:08 5120655                    /usr/lib/x86_64-linux-gnu/libffi.so.6.0.4
7f4aff548000-7f4aff549000 r--p 00006000 08:08 5120655                    /usr/lib/x86_64-linux-gnu/libffi.so.6.0.4
7f4aff549000-7f4aff54a000 rw-p 00007000 08:08 5120655                    /usr/lib/x86_64-linux-gnu/libffi.so.6.0.4
7f4aff54a000-7f4aff568000 r-xp 00000000 08:08 5245596                    /usr/lib/python2.7/lib-dynload/_ctypes.x86_64-linux-gnu.so
7f4aff568000-7f4aff767000 ---p 0001e000 08:08 5245596                    /usr/lib/python2.7/lib-dynload/_ctypes.x86_64-linux-gnu.so
7f4aff767000-7f4aff768000 r--p 0001d000 08:08 5245596                    /usr/lib/python2.7/lib-dynload/_ctypes.x86_64-linux-gnu.so
7f4aff768000-7f4aff76c000 rw-p 0001e000 08:08 5245596                    /usr/lib/python2.7/lib-dynload/_ctypes.x86_64-linux-gnu.so
7f4aff76c000-7f4aff76e000 r-xp 00000000 08:08 5245623                    /usr/lib/python2.7/lib-dynload/resource.x86_64-linux-gnu.so
7f4aff76e000-7f4aff96d000 ---p 00002000 08:08 5245623                    /usr/lib/python2.7/lib-dynload/resource.x86_64-linux-gnu.so
7f4aff96d000-7f4aff96e000 r--p 00001000 08:08 5245623                    /usr/lib/python2.7/lib-dynload/resource.x86_64-linux-gnu.so
7f4aff96e000-7f4aff96f000 rw-p 00002000 08:08 5245623                    /usr/lib/python2.7/lib-dynload/resource.x86_64-linux-gnu.so
7f4aff96f000-7f4aff9af000 rw-p 00000000 00:00 0 
7f4aff9e9000-7f4aff9ed000 r-xp 00000000 08:08 5245624                    /usr/lib/python2.7/lib-dynload/termios.x86_64-linux-gnu.so
7f4aff9ed000-7f4affbec000 ---p 00004000 08:08 5245624                    /usr/lib/python2.7/lib-dynload/termios.x86_64-linux-gnu.so
7f4affbec000-7f4affbed000 r--p 00003000 08:08 5245624                    /usr/lib/python2.7/lib-dynload/termios.x86_64-linux-gnu.so
7f4affbed000-7f4affbef000 rw-p 00004000 08:08 5245624                    /usr/lib/python2.7/lib-dynload/termios.x86_64-linux-gnu.so
7f4affbef000-7f4affd6f000 rw-p 00000000 00:00 0 
7f4affd6f000-7f4afff89000 r-xp 00000000 08:08 4718620                    /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
7f4afff89000-7f4b00188000 ---p 0021a000 08:08 4718620                    /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
7f4b00188000-7f4b001a4000 r--p 00219000 08:08 4718620                    /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
7f4b001a4000-7f4b001b0000 rw-p 00235000 08:08 4718620                    /lib/x86_64-linux-gnu/libcrypto.so.1.0.0
7f4b001b0000-7f4b00233000 rw-p 00000000 00:00 0 
7f4b0026c000-7f4b002ac000 rw-p 00000000 00:00 0 
7f4b002ac000-7f4b002b2000 r-xp 00000000 08:08 5245601                    /usr/lib/python2.7/lib-dynload/_hashlib.x86_64-linux-gnu.so
7f4b002b2000-7f4b004b1000 ---p 00006000 08:08 5245601                    /usr/lib/python2.7/lib-dynload/_hashlib.x86_64-linux-gnu.so
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7f4b004b2000-7f4b004b3000 rw-p 00006000 08:08 5245601                    /usr/lib/python2.7/lib-dynload/_hashlib.x86_64-linux-gnu.so
7f4b004b3000-7f4b00533000 rw-p 00000000 00:00 0 
7f4b00534000-7f4b00734000 rw-p 00000000 00:00 0 
7f4b00734000-7f4b00740000 r-xp 00000000 08:08 5245603                    /usr/lib/python2.7/lib-dynload/_json.x86_64-linux-gnu.so
7f4b00740000-7f4b0093f000 ---p 0000c000 08:08 5245603                    /usr/lib/python2.7/lib-dynload/_json.x86_64-linux-gnu.so
7f4b0093f000-7f4b00940000 r--p 0000b000 08:08 5245603                    /usr/lib/python2.7/lib-dynload/_json.x86_64-linux-gnu.so
7f4b00940000-7f4b00941000 rw-p 0000c000 08:08 5245603                    /usr/lib/python2.7/lib-dynload/_json.x86_64-linux-gnu.so
7f4b00941000-7f4b00dcc000 r--p 00000000 08:08 5111908                    /usr/lib/locale/locale-archive
7f4b00dcc000-7f4b00ed4000 r-xp 00000000 08:08 4723196                    /lib/x86_64-linux-gnu/libm-2.23.so
7f4b00ed4000-7f4b010d3000 ---p 00108000 08:08 4723196                    /lib/x86_64-linux-gnu/libm-2.23.so
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7f4b010d4000-7f4b010d5000 rw-p 00108000 08:08 4723196                    /lib/x86_64-linux-gnu/libm-2.23.so
7f4b010d5000-7f4b010ee000 r-xp 00000000 08:08 4718609                    /lib/x86_64-linux-gnu/libz.so.1.2.8
7f4b010ee000-7f4b012ed000 ---p 00019000 08:08 4718609                    /lib/x86_64-linux-gnu/libz.so.1.2.8
7f4b012ed000-7f4b012ee000 r--p 00018000 08:08 4718609                    /lib/x86_64-linux-gnu/libz.so.1.2.8
7f4b012ee000-7f4b012ef000 rw-p 00019000 08:08 4718609                    /lib/x86_64-linux-gnu/libz.so.1.2.8
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7f4b012f1000-7f4b014f0000 ---p 00002000 08:08 4723133                    /lib/x86_64-linux-gnu/libutil-2.23.so
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7f4b014f2000-7f4b014f5000 r-xp 00000000 08:08 4718688                    /lib/x86_64-linux-gnu/libdl-2.23.so
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7f4b016f4000-7f4b016f5000 r--p 00002000 08:08 4718688                    /lib/x86_64-linux-gnu/libdl-2.23.so
7f4b016f5000-7f4b016f6000 rw-p 00003000 08:08 4718688                    /lib/x86_64-linux-gnu/libdl-2.23.so
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7f4b018b6000-7f4b01ab6000 ---p 001c0000 08:08 4723208                    /lib/x86_64-linux-gnu/libc-2.23.so
7f4b01ab6000-7f4b01aba000 r--p 001c0000 08:08 4723208                    /lib/x86_64-linux-gnu/libc-2.23.so
7f4b01aba000-7f4b01abc000 rw-p 001c4000 08:08 4723208                    /lib/x86_64-linux-gnu/libc-2.23.so
7f4b01abc000-7f4b01ac0000 rw-p 00000000 00:00 0 
7f4b01ac0000-7f4b01ad8000 r-xp 00000000 08:08 4718682                    /lib/x86_64-linux-gnu/libpthread-2.23.so
7f4b01ad8000-7f4b01cd7000 ---p 00018000 08:08 4718682                    /lib/x86_64-linux-gnu/libpthread-2.23.so
7f4b01cd7000-7f4b01cd8000 r--p 00017000 08:08 4718682                    /lib/x86_64-linux-gnu/libpthread-2.23.so
7f4b01cd8000-7f4b01cd9000 rw-p 00018000 08:08 4718682                    /lib/x86_64-linux-gnu/libpthread-2.23.so
7f4b01cd9000-7f4b01cdd000 rw-p 00000000 00:00 0 
7f4b01cdd000-7f4b01d03000 r-xp 00000000 08:08 4718677                    /lib/x86_64-linux-gnu/ld-2.23.so
7f4b01d26000-7f4b01de6000 rw-p 00000000 00:00 0 
7f4b01e17000-7f4b01edc000 rw-p 00000000 00:00 0 
7f4b01efe000-7f4b01eff000 rw-p 00000000 00:00 0 
7f4b01eff000-7f4b01f00000 rwxp 00000000 00:00 0 
7f4b01f00000-7f4b01f02000 rw-p 00000000 00:00 0 
7f4b01f02000-7f4b01f03000 r--p 00025000 08:08 4718677                    /lib/x86_64-linux-gnu/ld-2.23.so
7f4b01f03000-7f4b01f04000 rw-p 00026000 08:08 4718677                    /lib/x86_64-linux-gnu/ld-2.23.so
7f4b01f04000-7f4b01f05000 rw-p 00000000 00:00 0 
7ffde8ea2000-7ffde8ec4000 rw-p 00000000 00:00 0                          [stack]
7ffde8ec7000-7ffde8ec9000 r--p 00000000 00:00 0                          [vvar]
7ffde8ec9000-7ffde8ecb000 r-xp 00000000 00:00 0                          [vdso]
ffffffffff600000-ffffffffff601000 r-xp 00000000 00:00 0                  [vsyscall]
[I 15:26:45.433 NotebookApp] KernelRestarter: restarting kernel (1/5)
WARNING:root:kernel f519f0e3-9c12-47e2-becf-fbd97e79c284 restarted
[

Pip List

(python2) jack@jack:~/Documents/Deep Learning with PyTorch: A 60 Minute Blitz$ pip list
DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning.
atari-py (0.1.1)
attrs (17.2.0)
autobahn (17.8.1)
Automat (0.6.0)
backports-abc (0.5)
backports.shutil-get-terminal-size (1.0.0)
backports.ssl-match-hostname (3.5.0.1)
bleach (2.0.0)
Box2D-kengz (2.3.3)
certifi (2017.7.27.1)
chardet (3.0.4)
configparser (3.5.0)
constantly (15.1.0)
cycler (0.10.0)
Cython (0.26)
decorator (4.1.2)
docker-py (1.10.3)
docker-pycreds (0.2.1)
entrypoints (0.2.3)
enum34 (1.1.6)
fastzbarlight (0.0.14)
functools32 (3.2.3.post2)
go-vncdriver (0.4.19)
gym (0.9.2)
h5py (2.7.0)
html5lib (0.999999999)
hyperlink (17.3.1)
idna (2.6)
imageio (2.2.0)
incremental (17.5.0)
ipaddress (1.0.18)
ipykernel (4.6.1)
ipython (5.4.1)
ipython-genutils (0.2.0)
ipywidgets (7.0.0)
Jinja2 (2.9.6)
jsonschema (2.6.0)
jupyter (1.0.0)
jupyter-client (5.1.0)
jupyter-console (5.1.0)
jupyter-core (4.3.0)
Keras (2.0.6)
leveldb (0.194)
MarkupSafe (1.0)
matplotlib (2.0.2)
mistune (0.7.4)
mujoco-py (0.5.7)
nbconvert (5.2.1)
nbformat (4.3.0)
networkx (1.11)
nose (1.3.7)
notebook (5.0.0)
numpy (1.13.1)
olefile (0.44)
opencv-contrib-python (3.3.0.9)
pachi-py (0.0.21)
pandas (0.20.3)
pandocfilters (1.4.2)
pathlib2 (2.3.0)
pexpect (4.2.1)
pickleshare (0.7.4)
Pillow (4.2.1)
pip (9.0.1)
prompt-toolkit (1.0.15)
protobuf (3.4.0)
ptyprocess (0.5.2)
pyglet (1.2.4)
Pygments (2.2.0)
PyOpenGL (3.1.0)
pyparsing (2.2.0)
python-dateutil (1.5)
python-gflags (3.1.1)
pytz (2017.2)
PyWavelets (0.5.2)
PyYAML (3.12)
pyzmq (16.0.2)
qtconsole (4.3.1)
requests (2.10.0)
scandir (1.5)
scikit-image (0.13.0)
scipy (0.19.1)
setuptools (36.2.7)
simplegeneric (0.8.1)
singledispatch (3.4.0.3)
six (1.10.0)
subprocess32 (3.2.7)
terminado (0.6)
testpath (0.3.1)
Theano (0.9.0)
torch (0.2.0.post1)
torchvision (0.1.9)
tornado (4.5.1)
traitlets (4.3.2)
Twisted (17.5.0)
txaio (2.8.1)
ujson (1.35)
universe (0.21.5, /home/jack/Applications/universe)
urllib3 (1.22)
visdom (0.1.5)
wcwidth (0.1.7)
webencodings (0.5.1)
websocket-client (0.44.0)
wheel (0.29.0)
widgetsnbextension (3.0.0)
zope.interface (4.4.2)
takluyver commented 7 years ago

That sounds like some kind of issue with pytorch - there might be some difference in the conditions that makes it happen, but Jupyter's not doing anything special with that code - it's just sending it to Python to run.

jmlago commented 7 years ago

I have the same issue, i can start running python or ipython on the term and then import torch, but i can not import pytorch in jupyter...

takluyver commented 7 years ago

There may be some difference in the environment variables, or pytorch might be detecting that it's running in a Jupyter kernel and doing something different.

rolweber commented 7 years ago

PyTorch has several open issues that mention Jupyter, including https://github.com/pytorch/pytorch/issues/2339. Please follow up there. You're more likely to find people who can help you there.

soumith commented 7 years ago

this can be closed. if you install the latest binaries with instructions from http://pytorch.org this issue will be fixed now.

Sorry for the trouble.

selous123 commented 7 years ago

@soumith

i update the latest version of pytorch

selection_016

Question1:it worked well in jupyter just before i update pytorch . and then it occurs "kernel died restarting" in jupyter also...... the problem description is here selection_017

Question2:before i update pytorch,import torch runs well in spyder. but now selection_018

Question3:it breaks down also in the terminal. selection_019 the problem occurs in net.forward(input)

and gdb information: selection_020 anyerror in the kernel of latest version??

soumith commented 7 years ago

@selous123 can you paste the code that gave a segfault in the terminal?

selous123 commented 7 years ago

@soumith

thank you for your answering

Later,I update all the packages in anaconda

conda update --all

delightedly Question1 and Question3 have been solved

but the error in the spyder also exists

just import torch

will raise a problem 29762068-02fe7650-8bff-11e7-908d-dd1e389427ef

configuration of my system can be found in the stackoverflow ,including the code also

clived2 commented 7 years ago

I have the same issue. I followed the same steps as posted by selous123 and with it crashed as per below: pytorch issues2017-09-10 15-51-21 I hope this gets resolved soom

Clive

clived2 commented 7 years ago

Adding to my comments above: Struggling away with pytorch 0.2.0. I am trying to run a Udemy deeplearning project on ubuntu 16.04 x64. Surprisingly enough the same project runs well on a Windows 10 laptop with an earlier version of pytorch on a conda python 3.5 env. So I created a conda python 3.5 env on ubuntu laptop to run things like tensorflow, pytorch, etc. My problem is that after loading torch (import torch) at the top of my Python script, as soon as the script reaches the part where torch is enabled (torch.nn in this case) the script crashes, killing the kernel. I discovered that in a python window, i could "import torch" but when I do a torch.rand(4) as an example, i get an "illegal instruction, core dumped" so this is what is killing my script. I have a screenshot of this which I am attaching to this post. I hope this makes sense to any of the developers who are involved in the pytorch 0.2.0 project.

torch nn crashing 2017-09-11

soumith commented 7 years ago

@clived2 I've followed up with you here: https://discuss.pytorch.org/t/pytorch-0-2-0-python-3-5-issue-which-seems-quite-common/7288 and let's discuss there.

clived2 commented 7 years ago

hi there

I am actually running this on a desktop Ubuntu 16.04 x64 desktop running Python 3.6. but I did up to a day ago run my script in a PY35 env on the same computer and the results were the same. Here is the display of cat/proccpuinfo :slight_smile: clived@UbuntuGnome2:~$ cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel® Pentium® Dual CPU E2140 @ 1.60GHz stepping : 13 microcode : 0xa1 cpu MHz : 1200.000 cache size : 1024 KB physical id : 0 siblings : 2 core id : 0 cpu cores : 2 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good nopl aperfmperf pni dtes64 monitor ds_cpl est tm2 ssse3 cx16 xtpr pdcm lahf_lm dtherm bugs : bogomips : 3189.63 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management:

processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel® Pentium® Dual CPU E2140 @ 1.60GHz stepping : 13 microcode : 0xa1 cpu MHz : 1200.000 cache size : 1024 KB physical id : 0 siblings : 2 core id : 1 cpu cores : 2 apicid : 1 initial apicid : 1 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good nopl aperfmperf pni dtes64 monitor ds_cpl est tm2 ssse3 cx16 xtpr pdcm lahf_lm dtherm bugs : bogomips : 3189.63 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management:

This computer does seem to support SSE.SSE2 and SSE3 but not SSE4. Both are older machines running I686 cpus I hope this helps and thanks for your response

Clive

Naviden commented 7 years ago

I had this issue almost for 1 year and since my installation/libraries/... were a real mess I suppose it's something wrong with python installation --> I kinda solve this problem by simply opening jupyter twice! so "jupyter notebook" and again "jupyter notebook" and it was working fine. Yesterday I totally purged Python, Anaconda and everything related to python and installed a fresh one. To my surprise, the Problem is still there!! Even after reinstalling everything I need to open jupyter twice!

Python 3.6.2 | Windows 7 64-bit

clived2 commented 7 years ago

I had the same experience on both of my two older Ubuntu boxes (686 cpus) and even on a brand new Win10 laptop. The Pytorch guys suggested removing the current Pytorch installation and re-install from source. One of the guys (Quant Scientist I think) has a script which offers a Torch installation from source , so I ran it on all three boxes (2 Ubuntu and 1 Win 10 ) and it worked fine. The script is on the PyTorch page

Good luck

On Thu, Sep 28, 2017 at 4:58 AM, Naviden notifications@github.com wrote:

I had this issue almost for 1 year and since my installation/libraries/... were a real mess I suppose it's something wrong with python installation --> I kinda solve this problem by simply opening jupyter twice! so "jupyter notebook" and again "jupyter notebook" and it was working fine. Yesterday I totally purged Python, Anaconda and everything related to python and installed a fresh one. To my surprise, the Problem is still there!! Even after reinstalling everything I need to open jupyter twice!

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/jupyter/notebook/issues/2784#issuecomment-332774021, or mute the thread https://github.com/notifications/unsubscribe-auth/ALBz71qpFpXjfOLs2VseyVQj6GnONQlYks5sm1-qgaJpZM4O8ivt .

-- Clive DaSilva CPA,CMA Home: 416-421-2480|Mobile: 416-560-8820 Email: clive.dasilva@gmail.com LinkedIN: http://ca.linkedin.com/pub/clive-dasilva/3/197/b89

leomrocha commented 6 years ago

I have the same issue, not only with PyTorch but also with Keras. For pytorch uninstalling and purging all from the virtualenv and reinstalling torch from the latest GPU wheel file worked, for keras I'm still finding out what to do. As information, both (pytorch and keras) worked correctly from the console python and console ipython

Python 3.5 Ubuntu 16.04 latest pytorch wheel of today

As a side-note, might have to do with GPU initialization? I had another issue with nengo-gui when initializing it with the tensorflow-gpu, this seemed like an issue during GPU initialization process in the during import statements

snknitin commented 6 years ago

I had this issue when i tried to use it on WSL only if i installed pytorch using conda. When i used pip to install it worked perfectly !

clived2 commented 6 years ago

Its been a while since I made the initial post, but as far as I can remember, my solution was to compile PyTorch from Source. On the PyTorch webpage, one of the guys had a script which made the process easier. It worked for me, as it was pointed out that the two Ubuntu boxes I was using were kinda old.

My two bits

On Sun, Dec 3, 2017 at 11:59 PM, Nitin Kishore Sai Samala < notifications@github.com> wrote:

I had this issue when i tried to use it on WSL only if i installed pytorch using conda. When i used pip to install it worked perfectly !

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Mirodil commented 6 years ago

I have similar problem with CPU version, is anybody found solution to it?

i-amgeek commented 6 years ago

I am facing similar problem while using fastai library based on pytorch with cpu only. Anybody found solution?

litoundi commented 6 years ago

× having same kind of error. Dead kernel The kernel has died, and the automatic restart has failed. It is possible the kernel cannot be restarted. If you are not able to restart the kernel, you will still be able to save the notebook, but running code will no longer work until the notebook is reopened.

ram1209 commented 5 years ago

Just know I got this error while I was googling the same issue . Some one suggested to upgrade numpy package . !pip install numpy --upgrade . After this command my jupyter notebook is working fine . I am running CNN models

clived2 commented 5 years ago

Thanks Raghu, Ill give it a shot

On Wed, Sep 18, 2019 at 9:52 PM Raghu Ram Arza notifications@github.com wrote:

Just know I got this error while I was googling the same issue . Some one suggested to upgrade numpy package . !pip install numpy --upgrade . After this command my jupyter notebook is working fine . I am running CNN models

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clived2 commented 5 years ago

Hello Raghu, gave it a try, did mot work for me though. Just saying

On Wed, Sep 18, 2019 at 10:54 PM Clive Dasilva clive.dasilva@gmail.com wrote:

Thanks Raghu, Ill give it a shot

On Wed, Sep 18, 2019 at 9:52 PM Raghu Ram Arza notifications@github.com wrote:

Just know I got this error while I was googling the same issue . Some one suggested to upgrade numpy package . !pip install numpy --upgrade . After this command my jupyter notebook is working fine . I am running CNN models

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/jupyter/notebook/issues/2784?email_source=notifications&email_token=ACYHH33KYHYFSQXOE3ZRLQTQKLLMRA5CNFSM4DXSFPW2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7B6GXI#issuecomment-532931421, or mute the thread https://github.com/notifications/unsubscribe-auth/ACYHH3367NKIU2YSOPUSWS3QKLLMRANCNFSM4DXSFPWQ .

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ghltshubh commented 5 years ago

Still facing this issue.

clived2 commented 5 years ago

Same here, and it just seems to be happening when I am running a CNN part of a script. I ran most of my CNN scripts using tensorflow and there was no problem. I also tried as suggesred to download the pytorch source an compile it. After 3 days of wasting my time doing this, downloads crashing halfway through , etc. I gave up PyTorch.org/Github , I hope that you are listening ??

On Thu, Oct 10, 2019 at 3:57 AM ||Dhoomketu|| notifications@github.com wrote:

Still facing this issue.

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HeroadZ commented 4 years ago

I'm also facing the same problem. I use ssh connect to my server. import pandas as pd is ok. but import torch will restart the kernel. The system is centos7, all libraries are latest. Is there any solution?

This might be a solution. I haven't tried it.

sgrine commented 4 years ago

I face the same issue with PyTorch CNN's

sternj98 commented 4 years ago

Me as well

m-rahat commented 4 years ago

Same issue with me when I try to model on Amazon's EC2 t2.micro free tier instance. It runs fine on my macbook pro however. Not sure what's causing this.

HeroadZ commented 4 years ago

please use tmux for stable connection.

NikitaMasl commented 2 years ago

if someone still interesting in this problem solving. Try this in the cell before importing torch. Works for me.

import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
Raphaelhpze commented 2 years ago

Thanks so much! It works for me !

kingcent commented 2 years ago

Just know I got this error while I was googling the same issue . Some one suggested to upgrade numpy package . !pip install numpy --upgrade . After this command my jupyter notebook is working fine . I am running CNN models

that works for me. thank you

elizavetasemenova commented 2 years ago

@NikitaMasl your solution works, thank you!

liu431 commented 1 year ago

os.environ['KMP_DUPLICATE_LIB_OK']='True' also works for me to fix the kernel issue for torch. Thank you!