I’m trying to run tensorflow, but after typing
import tensorflow as tf
I get the following error:
Traceback (most recent call last):
File "/home/pawel/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/pawel/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/pawel/.local/lib/python3.6/site-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/pawel/.conda/envs/tensorflow/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/pawel/.conda/envs/tensorflow/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 "<stdin>", line 1, in <module>
File "/home/pawel/.local/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/home/pawel/.local/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/home/pawel/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/home/pawel/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/pawel/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/pawel/.local/lib/python3.6/site-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/pawel/.conda/envs/tensorflow/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/pawel/.conda/envs/tensorflow/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
I know that the problem boils down to the missing libcublas.so.9.0 file, but I don’t how I can solve this problem. The ~/.bashrc file contains
export PATH=/usr/local/cuda-9.0/bin${PATH:+:$PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}
$ nvidia-smi returns
Thu Sep 20 16:33:03 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.48 Driver Version: 410.48 |
|-------------------------------+----------------------+----------------------+
| 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 1060 Off | 00000000:01:00.0 Off | N/A |
| N/A 51C P0 25W / N/A | 321MiB / 6078MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1428 G /usr/lib/xorg/Xorg 204MiB |
| 0 1632 G /usr/bin/gnome-shell 110MiB |
| 0 2463 G /usr/lib/firefox/firefox 1MiB |
| 0 2564 G /usr/lib/firefox/firefox 1MiB |
+-----------------------------------------------------------------------------+
$ nvcc --version returns
Cuda compilation tools, release 10.0, V10.0.130
When it comes to using CPU-based tensorflow there is not error concerning missing libcublas.so.9.0. The problem arises with the installation of GPU-version:
pip3 install tensorflow-gpu==1.5