Segment Fault after Import Tensorflow

[hzxie]

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Environment info

Operating System: Debian 8.5

Installed version of CUDA and cuDNN: No
(please attach the output of ls -l /path/to/cuda/lib/libcud*):

If installed from binary pip package, provide:

1. Which pip package you installed: Ubuntu/Linux 64-bit, CPU only
2. The output from python -c "import tensorflow; print(tensorflow.version)": Segment Fault

If installed from sources, provide the commit hash:

Steps to reproduce

1. Run Python with python
2. Import Tensorflow import tensorflow
3. Got error Segment Fault

What have you tried?

N/a

Logs or other output that would be helpful

(If logs are large, please upload as attachment).

[aselle]

Could you show uname -a on the machine and also let us know what PIP binary package you installed or what sha hash if you installed from source.

[wookayin]

I guess #2034 might be relevant

[hzxie]

Here's the result of uname -a:

hzxie@XieHaozhe-PC:~$ uname -a
Linux XieHaozhe-PC 3.16.0-4-amd64 #1 SMP Debian 3.16.7-ckt25-2 (2016-04-08) x86_64 GNU/Linux

And the output of installed packages are listed below:

hzxie@XieHaozhe-PC:~$ pip list
cffi (0.8.6)
chardet (2.3.0)
cryptography (0.6.1)
defusedxml (0.4.1)
docutils (0.12)
lxml (3.4.0)
nose (1.3.7)
nose-parameterized (0.5.0)
numpy (1.11.0)
pexpect (3.2)
Pillow (2.6.1)
pip (8.1.2)
ply (3.4)
protobuf (3.0.0b2)
pycparser (2.10)
pycups (1.9.63)
pycurl (7.19.5)
Pygments (2.0.1)
pygobject (3.14.0)
pyOpenSSL (0.14)
pysmbc (1.0.15.3)
python-apt (0.9.3.12)
python-debian (0.1.27)
python-debianbts (1.11)
pyxdg (0.25)
reportbug (6.6.3)
reportlab (3.1.8)
requests (2.10.0)
roman (2.0.0)
scikit-learn (0.17.1)
scipy (0.17.0)
setuptools (22.0.0)
six (1.10.0)
SOAPpy (0.12.22)
socketIO-client (0.6.5)
tensorflow (0.8.0)
Theano (0.8.2)
websocket-client (0.37.0)
wheel (0.29.0)
wstools (0.4.3)

[girving]

@zjhzxhz: Can you check if doing import numpy before import tensorflow fixes the problem, as per #2034. Alternatively, you could try upgrading to 0.9, which shouldn't have this problem.

[aselle]

Automatically closing due to lack of recent activity. Please reopen when further information becomes available.