import tensorflow as tf Segmentation fault (core dumped) in Ubuntu 20.04
By Sarah Rodriguez •
I need to install tensorflow 1.14 for DeepLabCut and I got a segmentation fault. How do I fix it? I also prefer to install the GPU version. Not sure if this is the most standard way of installing it.
(base) mona@mona:~$ conda install -c conda-forge tensorflow=1.14
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ## environment location: /home/mona/anaconda3 added / updated specs: - tensorflow=1.14
The following packages will be downloaded: package | build ---------------------------|----------------- absl-py-0.9.0 | py37hc8dfbb8_1 162 KB conda-forge astor-0.8.1 | pyh9f0ad1d_0 25 KB conda-forge c-ares-1.15.0 | h516909a_1001 100 KB conda-forge ca-certificates-2020.6.20 | hecda079_0 145 KB conda-forge certifi-2020.6.20 | py37hc8dfbb8_0 151 KB conda-forge conda-4.8.3 | py37hc8dfbb8_1 3.0 MB conda-forge curl-7.71.1 | he644dc0_3 140 KB conda-forge gast-0.3.3 | py_0 12 KB conda-forge google-pasta-0.2.0 | pyh8c360ce_0 42 KB conda-forge grpcio-1.30.0 | py37hb0870dc_0 2.0 MB conda-forge importlib-metadata-1.7.0 | py37hc8dfbb8_0 44 KB conda-forge keras-applications-1.0.8 | py_1 30 KB conda-forge keras-preprocessing-1.1.0 | py_0 33 KB conda-forge libcurl-7.71.1 | hcdd3856_3 302 KB conda-forge libprotobuf-3.12.3 | h8b12597_2 2.3 MB conda-forge libssh2-1.9.0 | hab1572f_4 225 KB conda-forge markdown-3.2.2 | py_0 61 KB conda-forge openssl-1.1.1g | h516909a_0 2.1 MB conda-forge protobuf-3.12.3 | py37h3340039_0 702 KB conda-forge python_abi-3.7 | 1_cp37m 4 KB conda-forge tensorboard-1.14.0 | py37_0 3.2 MB conda-forge tensorflow-1.14.0 | h4531e10_0 23 KB conda-forge tensorflow-base-1.14.0 | py37h4531e10_0 87.6 MB conda-forge tensorflow-estimator-1.14.0| py37h5ca1d4c_0 645 KB conda-forge termcolor-1.1.0 | py_2 6 KB conda-forge ------------------------------------------------------------ Total: 103.1 MB
The following NEW packages will be INSTALLED: absl-py conda-forge/linux-64::absl-py-0.9.0-py37hc8dfbb8_1 astor conda-forge/noarch::astor-0.8.1-pyh9f0ad1d_0 c-ares conda-forge/linux-64::c-ares-1.15.0-h516909a_1001 gast conda-forge/noarch::gast-0.3.3-py_0 google-pasta conda-forge/noarch::google-pasta-0.2.0-pyh8c360ce_0 grpcio conda-forge/linux-64::grpcio-1.30.0-py37hb0870dc_0 importlib-metadata conda-forge/linux-64::importlib-metadata-1.7.0-py37hc8dfbb8_0 keras-applications conda-forge/noarch::keras-applications-1.0.8-py_1 keras-preprocessi~ conda-forge/noarch::keras-preprocessing-1.1.0-py_0 libprotobuf conda-forge/linux-64::libprotobuf-3.12.3-h8b12597_2 markdown conda-forge/noarch::markdown-3.2.2-py_0 protobuf conda-forge/linux-64::protobuf-3.12.3-py37h3340039_0 python_abi conda-forge/linux-64::python_abi-3.7-1_cp37m tensorboard conda-forge/linux-64::tensorboard-1.14.0-py37_0 tensorflow conda-forge/linux-64::tensorflow-1.14.0-h4531e10_0 tensorflow-base conda-forge/linux-64::tensorflow-base-1.14.0-py37h4531e10_0 tensorflow-estima~ conda-forge/linux-64::tensorflow-estimator-1.14.0-py37h5ca1d4c_0 termcolor conda-forge/noarch::termcolor-1.1.0-py_2
The following packages will be UPDATED: conda pkgs/main::conda-4.8.3-py37_0 --> conda-forge::conda-4.8.3-py37hc8dfbb8_1 curl pkgs/main::curl-7.68.0-hbc83047_0 --> conda-forge::curl-7.71.1-he644dc0_3 libcurl pkgs/main::libcurl-7.68.0-h20c2e04_0 --> conda-forge::libcurl-7.71.1-hcdd3856_3 libssh2 pkgs/main::libssh2-1.8.2-h1ba5d50_0 --> conda-forge::libssh2-1.9.0-hab1572f_4
The following packages will be SUPERSEDED by a higher-priority channel: ca-certificates pkgs/main::ca-certificates-2020.6.24-0 --> conda-forge::ca-certificates-2020.6.20-hecda079_0 certifi pkgs/main::certifi-2020.6.20-py37_0 --> conda-forge::certifi-2020.6.20-py37hc8dfbb8_0 openssl pkgs/main::openssl-1.1.1g-h7b6447c_0 --> conda-forge::openssl-1.1.1g-h516909a_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
keras-applications-1 | 30 KB | ########################################################################## | 100%
conda-4.8.3 | 3.0 MB | ########################################################################## | 100%
termcolor-1.1.0 | 6 KB | ########################################################################## | 100%
google-pasta-0.2.0 | 42 KB | ########################################################################## | 100%
tensorflow-base-1.14 | 87.6 MB | ########################################################################## | 100%
libprotobuf-3.12.3 | 2.3 MB | ########################################################################## | 100%
gast-0.3.3 | 12 KB | ########################################################################## | 100%
ca-certificates-2020 | 145 KB | ########################################################################## | 100%
tensorflow-estimator | 645 KB | ########################################################################## | 100%
libcurl-7.71.1 | 302 KB | ########################################################################## | 100%
absl-py-0.9.0 | 162 KB | ########################################################################## | 100%
curl-7.71.1 | 140 KB | ########################################################################## | 100%
markdown-3.2.2 | 61 KB | ########################################################################## | 100%
openssl-1.1.1g | 2.1 MB | ########################################################################## | 100%
tensorflow-1.14.0 | 23 KB | ########################################################################## | 100%
importlib-metadata-1 | 44 KB | ########################################################################## | 100%
python_abi-3.7 | 4 KB | ########################################################################## | 100%
protobuf-3.12.3 | 702 KB | ########################################################################## | 100%
libssh2-1.9.0 | 225 KB | ########################################################################## | 100%
tensorboard-1.14.0 | 3.2 MB | ########################################################################## | 100%
astor-0.8.1 | 25 KB | ########################################################################## | 100%
certifi-2020.6.20 | 151 KB | ########################################################################## | 100%
grpcio-1.30.0 | 2.0 MB | ########################################################################## | 100%
keras-preprocessing- | 33 KB | ########################################################################## | 100%
c-ares-1.15.0 | 100 KB | ########################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) mona@mona:~$ python
Python 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Segmentation fault (core dumped)
(base) mona@mona:~$(base) mona@mona:~$ python
Python 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Segmentation fault (core dumped)Some further information:
(base) mona@mona:~$ uname -a
Linux mona 5.4.0-40-generic #44-Ubuntu SMP Tue Jun 23 00:01:04 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
(base) mona@mona:~$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 20.04 LTS
Release: 20.04
Codename: focal
(base) mona@mona:~$ python -V
Python 3.7.6
(base) mona@mona:~$ which python
/home/mona/anaconda3/bin/python
(base) mona@mona:~$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243
(base) mona@mona:~$ nvidia-smi
Mon Jul 20 11:51:09 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.100 Driver Version: 440.100 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| 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 RTX 2070 Off | 00000000:01:00.0 Off | N/A |
| N/A 47C P8 9W / N/A | 642MiB / 7982MiB | 17% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1313 G /usr/lib/xorg/Xorg 310MiB |
| 0 1759 G /usr/bin/gnome-shell 326MiB |
| 0 6030 G /usr/lib/firefox/firefox 2MiB |
+-----------------------------------------------------------------------------+
