Hello, Igniters! I would like to create several tests for ML algorithms using binary builds. These tests should work in this way: 1) Get last master (or user-defined branch) from git repository; 2) Build Ignite with a release profile and create binary build; 3) Run several Ignite instances from binary build; 4) Run examples or synthetic tests with a training of ML algorithms and inference; 5) Accumulate fails statistics on some board.
Currently, I'm working with own open repository in git that contains scripts for Docker and Travis as the prototype. I want to complete these tests and contribute them to Ignite. Should I adapt such tests for TC after prototype complete or Travis can be reused? Maybe such a process was created for other Ignite modules and I can use it for ML. What do you think? Best regards Alexey Platonov.
