6 Commits

Author	SHA1	Message	Date
Tiago Santana	0d4545a65a	docs: add split processing example (#303) ... Signed-off-by: Tiago Santana <54704492+SantanaTiago@users.noreply.github.com> Co-authored-by: Michele Dolfi <dol@zurich.ibm.com>	2025-09-04 10:42:11 +02:00
Rui Dias Gomes	6a8190c315	docs: add openshift replicasets examples (#209) ... Signed-off-by: Rui-Dias-Gomes <rui.dias.gomes@ibm.com> Co-authored-by: Rui-Dias-Gomes <rui.dias.gomes@ibm.com>	2025-06-03 17:43:41 +02:00
Michele Dolfi	1615f977a2	ci: add semantic release and build/publish python wheel (#41) ... Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>	2025-02-13 16:49:43 +01:00
Anil Vishnoi	ac3518c34c	Add python, markdown and github action linter (#5) ... to ensure the code maintenance. Thanks to docling project- took some good bits around python linting from the project. These checks are also added in the markdown, so that user can run these checks locally to recreate the errors. Signed-off-by: Anil Vishnoi <vishnoianil@gmail.com>	2024-09-13 14:26:32 +02:00
Anil Vishnoi	fc11dc2540	Enable concurrent running of the image generation jobs (#4) ... Group GPU image generate for GHCR and QUAY in one job, and similarly group CPU only image generation for GHCR and QUAY in another job. These two jobs can now run concurrently. By grouping the jobs for the same image type, it can use the docker layer cache to run the second job faster. If we separately build these images in four diffent and concurrent jobs, they won't be able to use the cache. If this still takes significantly long, we probably have to generate image in it's own job, so that they can run concurrently, without leveraging cache of docker layers. Also added make file target to lint the github workflows. Signed-off-by: Anil Vishnoi <vishnoianil@gmail.com>	2024-09-13 10:31:06 +02:00
Michele Dolfi	923e9fa22d	add gitignore ... Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>	2024-09-06 21:41:40 +02:00