How/Where did you set to use the Python 3.5? about tensorflow-on-arm HOT 4 CLOSED

git clone https://github.com/lhelontra/tensorflow-on-arm
cd tensorflow-on-arm/build_tensorflow/
docker build -t tf-arm -f Dockerfile .
docker run --name tf-arm -v /tmp/tensorflow_pkg/:/tmp/tensorflow_pkg/ -h tf-arm-builder -i -t tf-arm
docker start tf-arm
docker attach tf-arm
cd /root/tensorflow-on-arm/build_tensorflow/

# install nano for edit config target.
apt-get install nano

# for example, we using rpi.conf
pico configs/rpi.conf

# uncomment this lines and change the values:
# BAZEL_AVALIABLE_RAM=1536 # MB
# BAZEL_AVALIABLE_CPU=0.5  # number of cpu cores (1.0 epresenting single full core)
# BAZEL_AVALIABLE_IO=1.0   # workstation I/O capability (with 1.0 representing average workstation)

# save config file (ctrl+x -> y -> enter key) and build.
TF_PYTHON_VERSION=3.5 ./build_tensorflow.sh configs/rpi.conf