= Polyaxon = <> == Installing and Configuring Polyaxon CLI == Installing the CLI: {{{ pip[3] install polyaxon-cli }}} Keep in mind that the location, were polyaxon is installed, must be on your {{{$PATH}}}. For the previous command polyaxon can e.g. be installed in {{{$HOME/.local/bin}}} (which is usually not on {{{$PATH}}}). Configuring the CLI (so you can access the server backend on perses): {{{ polyaxon config set --host=perses.informatik.privat --port=31811 }}} == Login in to Polyaxon == Before you can log in to Polyaxon you will need an account. If you don't have an account yet, send an EMail to naether.markus@gmail.com . {{{ polyaxon login --username= [--password=] }}} == Using Polyaxon == === Creating new project === First, you can create a new project from any place within your filesystem: {{{ polyaxon project create --name= --description='My polyaxon project.' }}} Within a Terminal go to the directory of you project and initialize the previously created project: {{{ polyaxon init }}} Through this command an empty file {{{polyaxonfile.yml}}} will be generated, which can then be edited further to reflect the training of your project. For some small examples take a look at the examples section of this article. === Configuring Project === A simple example of a project description. Keep in mind to set the {{{kind}}} value correctly (experiment for a single experiment, group for set of experiments). {{{ --- version: 1 kind: experiment build: image: tensorflow/tensorflow:latest-py3 build_steps: - pip3 install --no-cache-dir -U polyaxon-client run: cmd: python3 main.py }}} A good documentation and overview of the whole syntax and all sections are available through the official documentation of polyaxon: https://docs.polyaxon.com/references/polyaxonfile-yaml-specification/ === Uploading and running the Project === In order to start the training process you must upload the source and tell polyaxon which polyaxon file should be used for execution (the default is {{{polyaxonfile.yml}}}). Either use two separate steps: {{{ polyaxon upload polyaxon run [-f ] }}} Or combine both steps into one: {{{ polyaxon run -u [-f ] }}} === Observation of running task === Get a list of all experiments: {{{ polyaxon project experiments }}} Inspect the resources and logs of a specific experiment: Resources: {{{ polyaxon experiment -xp get }}} Logs: {{{ polyaxon experiment -xp logs [--past] }}} More information of of the CLI just go to the well documented reference of polyaxon: https://docs.polyaxon.com/references/polyaxon-cli/ === Retrieving Data === Currently we have two different data input directories that can be used: * '''/data/1/''': This path directly maps to ```titan:/local/hdd/exports/data/``` and is the normal path you should use. * '''/data/local/''': This path maps to ```[rubur/flavus]:/local/ssd/``` should be used for real big datasets with dozens of GB of data. * '''/data/datasets/''': This path maps to ```/nfs/datasets/```. Keep in mind that you will only have read access to those directories. * '''/data/students/''': This path maps to ```/nfs/students/```. Keep in mind that you will only have read access to those directories. === Saving Data === In order to later use e.g. your trained model you have to save it somewhere. When using Polyaxon you can directly use the build in ```get_outputs_path()``` method. {{{ from polyaxon_client.tracking import get_outputs_path }}} By using the path provided by ```get_outputs_path()``` for saving your data you will be able to download the files that are saved within this path by using e.g.: {{{ polyaxon experiment -xp outputs }}} === Web-Dashboard === Some of the data can also be viewed via the Web-Dashboard which is either directly accessible via: http://perses.informatik.privat:31811 Or by calling: {{{ polyaxon dashboard }}} === Examples === For a small example one can download the following repository: {{{ git clone https://ad-git.informatik.uni-freiburg.de/ad/polyaxon_demo.git git clone git@ad-git.informatik.uni-freiburg.de:ad/polyaxon_demo.git }}} === Polyaxon Quick Start === There is now a small ''Quick Start'' in the official polyaxon documentation available: https://docs.polyaxon.com/concepts/quick-start/ == Polyaxon Integrations == For a complete list of possible integrations take a look at [[https://docs.polyaxon.com/integrations/|the official integration page]]. For your purposes one of the following integrations will be the most useful ones: * [[https://docs.polyaxon.com/integrations/tensorflow/|Tensorflow]] * [[https://docs.polyaxon.com/integrations/pytorch/|PyTorch]] * [[https://docs.polyaxon.com/integrations/keras/|Keras]] * [[https://docs.polyaxon.com/integrations/jupyter-notebook/|Jupyter Notebook]] (Don't forget to always destroy them if you don't need them anymore!)