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Tensorflow 1.120, Python3.6, CUDA9 starting from tensorflow:tensorflow-latest-gpu (TF 1.13.0, CUDA 10, March 2019)
add-apt-repository ppa:jonathonf/python-3.6
apt-get update & apt-get install -y python3.6
curl https://bootstrap.pypa.io/get-pip.py > get-pip.py
python3.6 get-pip.py
pip3 uninstall tensorflow-gpu
pip3.6 install tensorflow-gpu==1.12.0
python3.6 -c "import tensorflow as tf; print(tf.__version__);"
@loretoparisi

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loretoparisi commented Mar 19, 2019

This will print out 1.12.0. The Docker image was tensorflow:tensorflow-latest-gpu

@priyakansal

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priyakansal commented Mar 20, 2019

Hi ,
Sorry I am bit new to docker ... so when I am building some image ... either or < tensorflow-serving: latest -gpu> using docker run or nivida-docker rum and importing the packages related to tensorflow every thing is working fine ... but when i am building my custom image with anaconda as a base image using docker-compose or nivida-docker- compose build command .. it is not working..

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