Install tensorFlow with Bazel

Install TensorFlow

System:
- Ubuntu 14.04 (or Linux Mint 17.3)
- python 2.7
- GPU titan X
- Cuda 8.0
- Cudnn V7 for Cuda 8.0

- Bazel 0.5.4

sudo apt-get -y install  python-dev python-pip libpng-dev libfreetype6-dev
git clone https://github.com/tensorflow/tensorflow
sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update && sudo apt-get install oracle-java8-installer
echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
sudo apt-get -y install curl
curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
wget https://github.com/bazelbuild/bazel/releases/download/0.5.4/bazel-0.5.4-installer-linux-x86_64.sh
./bazel-0.5.4-installer-linux-x86_64.sh --user
sudo pip install six numpy wheel
sudo pip install pillow lxml
sudo pip install matplotlib
sudo pip install jupyter
sudo pip install matplotlib
sudo pip install numexpr
sudo pip install tables
sudo pip install ipython h5py
LD_LIBRARY_PATH must include /usr/local/cuda/lib64
bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
sudo pip install /tmp/tensorflow_pkg/tensorflow*.whl


testing tensorflow installation
python
>>> import tensorflow

======================== Object Detection TensorFlow ===================================
at tensorflowRoot
git clone https://github.com/tensorflow/models.git
at tensorflow/model
wget https://github.com/google/protobuf/releases/download/v3.3.0/protoc-3.3.0-linux-x86_64.zip
unzip protoc-3.3.0-linux-x86_64.zip
cd research
../bin/protoc object_detection/protos/*.proto --python_out=.
sudo apt-get install python-tk

PYTHONPATH=$PYTHONPATH:/root_tensorflow/models/research:/root_tensorflow/models/research/slim
testing object detection installation
python object_detection/builders/model_builder_test.py

Correct Respond:
Ran 11 tests in 0.051s
OK

at tensorflow/models/research $
jupyter notebook object_detection/object_detection_tutorial.ipynb
run all cells
You will see the successful installation.