Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs.
Ensure that the logging module's config file is validated using pydantic.
Make logging module-specific settings that wsproxy implements in its own config file common to the logging module.
If you are working on replacing trafaret with pydantic and you have resolved any dependencies on the logging module, you can replace config_pydantic.py with config.py
Checklist: (if applicable)
[ ] Milestone metadata specifying the target backport version
Ensure that the logging module's config file is validated using pydantic.
Make logging module-specific settings that wsproxy implements in its own config file common to the logging module.
If you are working on replacing trafaret with pydantic and you have resolved any dependencies on the logging module, you can replace
config_pydantic.pywithconfig.pyChecklist: (if applicable)