tensorflow-gpu running failure on LINUX - tensorflow

Question

I've installed CUDA and cuDnn on ubuntu 16.04.
CUDA version : 9.0 // with driver version 390.87
cuDNN version : 7.2 for CUDA9.0
import tensorflow as tf
works fine, but
tf.Session()
renders the following error.
2018-09-15 16:43:23.281375: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 0
2018-09-15 16:43:23.281431: E tensorflow/core/common_runtime/direct_session.cc:158] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/imhgchoi/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1494, in __init__
super(Session, self).__init__(target, graph, config=config)
File "/home/imhgchoi/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 626, in __init__
self._session = tf_session.TF_NewSession(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.
The error message implies that I've installed the wrong version of CUDA driver, but I'm lost. I'm not sure what steps to take in order to remedy this situation.
AFTER ADDING ENVIRONMENT VARIABLES
That only added new errors..
2018-09-15 17:13:39.684390: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2018-09-15 17:13:39.767963: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-09-15 17:13:39.768481: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1405] Found device 0 with properties:
name: GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.506
pciBusID: 0000:09:00.0
totalMemory: 3.94GiB freeMemory: 3.41GiB
2018-09-15 17:13:39.768502: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1484] Adding visible gpu devices: 0
2018-09-15 17:13:39.768635: E tensorflow/core/common_runtime/direct_session.cc:158] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version

Answer 1

Maybe it is your envirnment variables causing this problem.
try this:
Add these lines at the end of your ~/.bashrc file and open a terminal and simply start a python session there and then import tensorflow (you should have the tensporflow-gpu installed via apt) and see if it works:
sudo vim ~/.bashrc
and add these at the end of the file and restart your terminal:
export CUDA_HOME="/usr/local/cuda-9.0"
export LD_LIBRARY_PATH="${CUDA_HOME}/lib64"
export PATH="${CUDA_HOME}/bin:${PATH}"
export DYLD_LIBRARY_PATH="${CUDA_HOME}/lib"
Edit.1
Please make sure that "usr/local/cuda-9.0" is the directory that you installed cuda.