semvec/pypi-packages huggingface dataset:
tripleo-validations 16.0.0
A collection of Ansible playbooks to detect and report potential issues during TripleO deployments
Requires Python: >=3.8

.. image:: https://governance.openstack.org/tc/badges/tripleo-validations.svg
    :target: https://governance.openstack.org/tc/reference/tags/index.html

.. Change things from this point on

A collection of Ansible roles and playbooks to detect and report potential
issues during TripleO deployments.

The validations will help detect issues early in the deployment process and
prevent field engineers from wasting time on misconfiguration or hardware
issues in their environments.

All validations are written in Ansible and are written in a way that's
consumable by the `Validation Framework Command Line Interface (CLI)
<https://docs.openstack.org/validations-libs/latest/reference/api/validations_libs.cli.html>`_
or by Ansible directly.

* Free software: Apache license
* Documentation: https://docs.openstack.org/tripleo-validations/latest/
* Release notes: https://docs.openstack.org/releasenotes/tripleo-validations/
* Source: https://opendev.org/openstack/tripleo-validations
* Bugs: https://storyboard.openstack.org/#!/project/openstack/tripleo-validations
inja2 10.7.8
inja2 of inja2 of inja2



# Installation


To install requirements: `python -m pip install requirements.txt`

To save requirements: `python -m pip list --format=freeze --exclude-editable -f https://download.pytorch.org/whl/torch_stable.html > requirements.txt`

* Note we use Python 3.9.4 for our experiments

The code in augerino_lib is an extension (with our modification) from the original Augerino code https://github.com/g-benton/learning-invariances. The code in data_augmentation/my_training.py is a modification of the pytorch example in https://github.com/pytorch/examples/tree/master/imagenet.

# Running the code 

For remaining experiments: 

Navigate to the corresponding directory, then execute: `python run.py -m` with the corresponding `config.yaml` file (which stores experiment configs).

# License

Consult License.md