Build of TensorFlow Master, 1.8 and 1.7.1 on Docker with Ubuntu 16.04, GCC 5.4, Python 3.6, CUDA 9.1 and cuDNN 7.1.
(old build documentation for TensorFlow 0.10 in Portuguese)
http://cirocavani.github.io/post/compilacao-do-tensorflow-0.10-para-linux-com-gpu/
...
Manual download required:
_deps/cudnn-9.1-linux-x64-v7.1.tgz
: cuDNN 7.1 for CUDA 9.1 [ Download ]
./build_image.sh cpu
./build_image.sh gpu
./build_tensorflow.sh master gpu
: builds packagemaster/tensorflow_gpu-1.9.0a0-cp36-cp36m-linux_x86_64.whl
./build_tensorflow.sh master cpu
: builds packagemaster/tensorflow-1.9.0a0-cp36-cp36m-linux_x86_64.whl
./build_tensorflow.sh 1.8 gpu
: builds package1.8/tensorflow_gpu-1.8.0-cp36-cp36m-linux_x86_64.whl
./build_tensorflow.sh 1.8 cpu
: builds package1.8/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
./build_tensorflow.sh 1.7 gpu
: builds package1.7/tensorflow_gpu-1.7.1-cp36-cp36m-linux_x86_64.whl
./build_tensorflow.sh 1.7 cpu
: builds package1.7/tensorflow-1.7.1-cp36-cp36m-linux_x86_64.whl
# Python install
curl -k -L -O https://repo.continuum.io/miniconda/Miniconda3-4.5.1-Linux-x86_64.sh
bash Miniconda3-4.5.1-Linux-x86_64.sh -b -f -p tensorflow-gpu
tensorflow-gpu/bin/conda update -y -q --all
# TensorFlow install
tensorflow-gpu/bin/pip install 1.8/tensorflow_gpu-1.8.0-cp36-cp36m-linux_x86_64.whl
tensorflow-gpu/bin/python -c \
'import tensorflow as tf; print(tf.__version__); print(tf.Session().run(tf.constant("Hello, World!")))'
#> 1.8.0
#> b'Hello, World!'