Error while Installing tensorflow-gpu on MX150 - linux

Question

I am trying to install tensorflow gpu on my laptop running MX150. I updated my NVIDIA driver, installed CUDA , installed CUDnn. But still not able to import Tensorflow. getting following error
>>> import tensorflow as tf
Traceback (most recent call last):
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/rohan/anaconda3/envs/tensorflow_env/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/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: 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/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 72, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/rohan/anaconda3/envs/tensorflow_env/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/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/home/rohan/anaconda3/envs/tensorflow_env/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.8.0: cannot open shared object file: No such file or directory

Answer 1

It looks like there is a mismatch between your python version and your CUDA version.
please check your versions by:
python --version
and
nvcc --version
What is yuor OS? What version of Tensorflow your are trying to run?
I suggest to uninstall tensorflow and reinstall it after you have the currect version of Python and CUDA. You can follow Tesnoeflow with gpu documentation.
Also check this issue which is similar to yours
libcublas.so.8.0 error with tensorflow

Answer 2

you need python version 3.7 with cuda toolkit 10.0
I also had the same error and solved it by setting the environmental variables for cuda path in your system advanced settings.
If you have installed two or more cuda versions make sure to delete rest from environment variables .
use the below code to check if gpu is being utilizd in jupyter notebook.
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())