Clusterone supports a variety of different versions of TensorFlow, including the most recent releases. Below we outline how you can choose TensorFlow when creating jobs through the Matrix, as well as the command line.
In the Environment step of the job creation wizard, select a Tensorflow-based Docker image with the version you want to use.
just create job distributed or
just create job single with the option:
--docker-image <tensorflow-image-name> where the image name is one of the following.
just create job distributed --project <project> \--datasets <dataset> --docker-image tensorflow-1.9.0-cpu-py36