How can I install Tensorflow GPU with latest version of CUDA and cuDNN - tensorflow

Question

Installing TensorFlow for object detection is annoying sometimes, especially when wired errors happen after starting one's own object detection project by finetuning pre-trained model.
How to install latest Tensorflow GPU support and latest CUDA/CUDNN without any error?

Answer 1

To install tensorflow-gpu object detection api on Ubuntu 16.04
upgrade system
sudo apt-get update
sudo apt-get upgrade
install basic packages
sudo apt-get install vim curl python-dev gnupg-curl python-tk git
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
sudo -H python get-pip.py
install tensorflow-gpu (tensorflow version=1.14)
sudo -H pip install tensorflow-gpu
install CUDA (Final CUDA version = 10.1)
// Please turn off your secure boot from BIOS
sudo apt-get install gnupg-curl
// Here we install version 10.0 to avoid other issues. Later we can upgrade it to version 10.1
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_10.0.130-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1604_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb
sudo apt-get update
install cuDNN (cuDNN version = 7.6.3.30-1, compatible to CUDA 10.1)
sudo apt-get install --no-install-recommends cuda-10-0
// restart your computer here
nvidia-smi.
sudo apt-get install --no-install-recommends libcudnn7=7.6.3.30-1+cuda10.0 libcudnn7-dev=7.6.3.30-1+cuda10.0
sudo apt-get install -y --no-install-recommends libnvinfer5=5.1.5-1+cuda10.0 libnvinfer-dev=5.1.5-1+cuda10.0
sudo apt-get update
// this upgrade command will upgrade your CUDA to version 10.1
sudo apt-get upgrade
sudo apt-get autoremove
install Tensorflow object detection api
sudo -H pip install Cython
sudo -H pip install contextlib2
sudo -H pip install pillow
sudo -H pip install lxml
sudo -H pip install jupyter
sudo -H pip install matplotlib
mkdir tensorflow
cd tensorflow
git clone https://github.com/tensorflow/models
// install protocbuf version 3.0.0
wget -O protobuf.zip https://github.com/google/protobuf/releases/download/v3.0.0/protoc-3.0.0-linux-x86_64.zip
unzip protobuf.zip
sudo cp ./bin/protoc /bin/
sudo cp -r ./include/google /usr/local/include/
cd tensorflow/models/research
protoc object_detection/protos/*.proto --python_out=.
git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
make
cp -r pycocotools <path_to_tensorflow>/models/research/
Export Environment
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-10.1/lib64
export PYTHONPATH=$PYTHONPATH:~/tensorflow/models/research:~/tensorflow/models/research/object_detection/slim
Other
If we install CUDA 10.1 it may have a compatibility issue that libxxxx.so.10.0 is not found when you start training your project.
To solve them:
a. sudo ln -s /usr/lib/x86_64-linux-gnu/libcublas.so.10.1 /usr/local/cuda-10.1/lib64/libcublas.so.10.0
b. sudo ln -s /usr/local/cuda-10.1/lib64/libcudart.so.10.1 /usr/local/cuda-10.1/lib64/libcudart.so.10.0
c. sudo ln -s /usr/local/cuda-10.1/lib64/libcufft.so.10 /usr/local/cuda-10.1/lib64/libcufft.so.10.0
d. sudo ln -s /usr/local/cuda-10.1/lib64/libcurand.so.10 /usr/local/cuda-10.1/lib64/libcurand.so.10.0
e. sudo ln -s /usr/local/cuda-10.1/lib64/libcusolver.so.10 /usr/local/cuda-10.1/lib64/libcusolver.so.10.0
f. sudo ln -s /usr/local/cuda-10.1/lib64/libcusparse.so.10 /usr/local/cuda-10.1/lib64/libcusparse.so.10.0
All Set