Here is how I installed tensorflow on my Linux partition of a dual boot Dell Latitude 5490 with an internal NVIDIA GeForce MX130 GPU. All the specified versions are chosen for a reason, but other version combinations might work.
I installed Xubuntu 18.04
I updated and upgraded everything.
I switched to the nvidia-driver-390 (propietry,tested) under the Additional Drivers tab of the Xubuntu Software & Updates application.
I downloaded gcc-6 and g++6 and linked them as my main gcc/g++
sudo apt install gcc-6 sudo apt install g++-6 sudo rm /usr/bin/g++ (These were just soft links to sudo rm /usr/bin/gcc sudo ln -s /usr/bin/g++-6 /usr/bin/g++ sudo ln -s /usr/bin/gcc-6 /usr/bin/gcc
I downloaded the local runfile installer of CUDA 9.0 for Ubuntu 17.04 from here: https://developer.nvidia.com/cuda-90-download-archive?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1704&target_type=runfilelocal
I ran the runfile ensuring not to update the driver
I installed a few other packages
sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev
I installed cuDNN downloaded from here: https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.4.2/prod/9.0_20181213/cudnn-9.0-linux-x64-v220.127.116.11.tgz and then extracted.
sudo cp ~/Downloads/cuda/include/cudnn.h /usr/local/cuda-9.0/include/ cp ~/Downloads/cuda/include/cudnn.h /usr/local/cuda-9.0/include/
I made sure cuda libraries could be found
I made a python conda environemt and installed tensorflow!
conda create -n DL python=3.6 pip install tensorflow-gpu
The next step will be to use just the Intel UHD 620 for display and the NVIDIA GeForce MX130 for compute…. (which I tried but have failed a few times). If you have done this on your machine successfully, let me know how it goes!