Let’s look at an example of how you can use Polyaxon for your deep learning experiments. This example assumes that both Polyaxon is installed and running. And you are logged in to your Polyaxon account through the polyaxon-cli

Check that your cli is configured and you are logged in

The first step is to check that you are logged in and that you are running a version of CLI compatible with the platform.

polyaxon version --cli
polyaxon version --platform
polyaxon whoami

Check the cluster discovery

Check that polyaxon is reporting your cluster correctly

$ polyaxon cluster

Cluster info:

--------------  ----------------------------------------
build_date      2017-11-20T05:17:43Z
major           1
go_version      go1.8.3
git_version     v1.8.4
platform        linux/amd64
git_commit      9befc2b8928a9426501d3bf62f72849d5cbcd5a3
git_tree_state  clean
minor           8
compiler        gc
--------------  ----------------------------------------

Cluster Nodes:

  id  name                       hostname                   role    memory      n_cpus    n_gpus
----  -------------------------  -------------------------  ------  --------  --------  --------
   1  k8s-agentpool1-13475325-0  k8s-agentpool1-13475325-0  agent   6.7 Gb           2         0
   2  k8s-agentpool2-13475325-0  k8s-agentpool2-13475325-0  agent   54.93 Gb         6         1
   3  k8s-master-13475325-0      k8s-master-13475325-0      master  6.7 Gb           2         0

Create a project

Now we can create a project, you can do that with Polyaxon Dashboard or with polyaxon CLI

$ polyaxon project create --name=quick-start --description='Polyaxon quick start.'

Prepare your code

Polyaxon offers 2 options for tracking code, an in-cluster git server or tracking code on external platforms (Github, GitLab, Bitbucket, ...).

A project can only be linked to one repo (either in-cluster or on Github for example), in both cases, your workflow will be mor or less similar.

We have created 2 quick-start guides to show how you can use each one of this options:

  • A guide to track code in-cluster.
  • A guide to track code on Github (N.B. you can use any other platform by just changing the repo url).