1. Install nvidia driver
# apt install nvidia-driver
1.1. Driver check
# nvidia-smi
Thu Jan 24 15:06:13 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.87 Driver Version: 390.87 |
|-------------------------------+----------------------+----------------------+
| 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 105... Off | 00000000:01:00.0 On | N/A |
| 45% 30C P8 N/A / 75W | 220MiB / 4038MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 872 G /usr/lib/xorg/Xorg 135MiB |
| 0 13044 G /usr/lib/firefox-esr/firefox-esr 1MiB |
| 0 13275 G /usr/lib/firefox-esr/firefox-esr 79MiB |
| 0 14283 G /usr/lib/firefox-esr/firefox-esr 1MiB |
+-----------------------------------------------------------------------------+
1.2. Install cuda toolkit
# apt install nvidia-cuda-toolkit
# cudafe++ -v
cudafe: NVIDIA (R) Cuda Language Front End
Portions Copyright (c) 2005-2018 NVIDIA Corporation
Portions Copyright (c) 1988-2016 Edison Design Group Inc.
Based on Edison Design Group C/C++ Front End, version 4.14 (Jun 12 2018 23:07:12)
Cuda compilation tools, release 9.2, V9.2.148
# nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Tue_Jun_12_23:07:04_CDT_2018
Cuda compilation tools, release 9.2, V9.2.148
2. Install Python3.6
2.1. Check default python in Debian 10(buster)
# apt policy python3
python3:
Installed: 3.7.1-3
Candidate: 3.7.1-3
Version table:
*** 3.7.1-3 500
500 http://debian-archive.trafficmanager.net/debian testing/main amd64 Packages
100 /var/lib/dpkg/status
2.2. Install packages of python3.6 and virtualenv
# apt install python3.6 virtualenv
3. build the private console with python3.6
$ virtualenv --system-site-packages -p python3.6 ./venv
$ source ./venv/bin/activate
(venv) $ pip install --upgrade pip
(venv) $ pip install tensorflow-gpu
4. (TODO) Check tensorflow-gpu
(venv) $ python
Python 3.6.8 (default, Jan 3 2019, 03:42:36)
[GCC 8.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/home/user/Workspace/deep_neural_network/venv/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/user/Workspace/deep_neural_network/venv/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "", line 1, in
File "/usr/local/lib/python3.6/dist-packages/tensorflow/__init__.py", line 22, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/__init__.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/home/user/Workspace/deep_neural_network/venv/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/user/Workspace/deep_neural_network/venv/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/install_sources#common_installation_problems
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
4.1. Fix the absence of libcublas.so.9.0
Have to do lots of works to install dependencies related to libcublas.so.9.0.
Please see my next post about installation of nvidia-cuda-toolkit.
P.S.
# prompt : root privilage
$ prompt : user prifilage
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