PyTorch Lightning Releases Ecosystem CI To Improve Compatibility Testing

Ecosystem CI boosts compatibility, performs regular testing, and raises early warnings in case of possible collisions

PyTorch Lightning has released a new EcoSystem CI project, a lightweight repository that provides easy configuration of ‘Continuous Integration’ running on CPU and GPU. One of the main goals of Ecosystem CI is to enable early discovery of issues through regular testing against stable and development versions of Lightning.

This new integration platform for Data Science and Deep Learning packages based on Lightning boosts compatibility, performs regular testing, and raises early warnings in case of possible collisions. Any user who wants to keep their project aligned with current and future Lightning releases can use the EcoSystem CI to configure their integrations.


Sign up for your weekly dose of what's up in emerging technology.

Jirka Borovec, Sr Research Engineer at, PyTorch Lightning, wrote in a blog post introducing the project, “We designed the EcoSystem CI to provide a unified structure flexible enough to cover all practical integration needs. The integrations leverage GitHub actions (CPU with many OS versions) and Azure pipelines (GPU with Linux only). We also provide native parallelization, so all projects are tested concurrently using caching to speed-up environment creation.”

The use of Ecosystem CI directly provides out-of-the-box nightly testing on CPU and multi-GPU compute. The project can also be forked and run with your own custom environments and compute resources.

The platform runs two procedures – Prepare Environment and Install all Dependencies, and Copy and Execute all Linked Integration Tests. These steps can be easily extended and used with any other CI system such as CircleCI if testing is required on different types of computing.

More Great AIM Stories

Meeta Ramnani
Meeta’s interest lies in finding out real practical applications of technology. At AIM, she writes stories that question the new inventions and the need to develop them. She believes that technology has and will continue to change the world very fast and that it is no more ‘cool’ to be ‘old-school’. If people don’t update themselves with the technology, they will surely be left behind.

Our Upcoming Events

Masterclass, Virtual
How to achieve real-time AI inference on your CPU
7th Jul

Masterclass, Virtual
How to power applications for the data-driven economy
20th Jul

Conference, in-person (Bangalore)
Cypher 2022
21-23rd Sep

Conference, Virtual
Deep Learning DevCon 2022
29th Oct

3 Ways to Join our Community

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Telegram Channel

Discover special offers, top stories, upcoming events, and more.

Subscribe to our newsletter

Get the latest updates from AIM

What can SEBI learn from casinos?

It is said that casino AI technology comes with superior risk management systems compared to traditional data analytics that regulators are currently using.

Will Tesla Make (it) in India?

Tesla has struggled with optimising their production because Musk has been intent on manufacturing all the car’s parts independent of other suppliers since 2017.