As you may notice lines of snippet showed on dockerfile-machinelearning, TensorFlow can be non-interactively installed from source.

The code here are hugely depend on PatWie’s gist. I just added some build options for a newer version of TensorFlow and remove options that affect nothing.

PYTHON_BIN_PATH=$(which python) \
CUDA_TOOLKIT_PATH=/usr/local/cuda \
CUDNN_INSTALL_PATH=/usr/local/cuda \
PYTHON_LIB_PATH="$($PYTHON_BIN_PATH -c 'import site; print(site.getsitepackages()[0])')" \
TF_NEED_GCP=0 \
TF_NEED_CUDA=1 \
TF_CUDA_VERSION="$($CUDA_TOOLKIT_PATH/bin/nvcc --version | sed -n 's/^.*release \(.*\),.*/\1/p')" \
TF_CUDA_COMPUTE_CAPABILITIES=6.1,5.2,3.5 \
TF_NEED_HDFS=0 \
TF_NEED_OPENCL=0 \
TF_NEED_JEMALLOC=1 \
TF_ENABLE_XLA=0 \
TF_NEED_VERBS=0 \
TF_CUDA_CLANG=0 \
TF_CUDNN_VERSION="$(sed -n 's/^#define CUDNN_MAJOR\s*\(.*\).*/\1/p' $CUDNN_INSTALL_PATH/include/cudnn.h)" \
TF_NEED_MKL=0 \
TF_DOWNLOAD_MKL=0 \
TF_NEED_MPI=0 \
TF_NEED_OPENCL_SYCL=0 \
TF_NEED_S3=0 \
TF_NEED_KAFKA=0 \
TF_NEED_TENSORRT=0 \
TF_NEED_GDR=0 \
TF_SET_ANDROID_WORKSPACE=0 \
GCC_HOST_COMPILER_PATH=$(which gcc) \
CC_OPT_FLAGS="-march=native" ./configure
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 && \
pip install /tmp/tensorflow_pkg/tensorflow-1.7.0-cp36-cp36m-linux_x86_64.whl