Logging - json format / custom format

[GautamSinghania]

Feature Request

Describe the problem the feature is intended to solve

My organization allows logs to be persisted only if they follow certain standards. As the current Tensorflow logs cannot be formatted, we do not have a way of persisting these logs.

Describe the solution

I want to control the format of my logs so that I can follow the organization standards. Either one of the following will solve my usecase:

• Convert the log to json format
• Customize the log to follow a certain format

As an added feature, it would be really helpful if I can access request specific elements like tracers in these logs.

Describe alternatives you've considered

If Python logging was integrated in Tensorflow serving, we could follow that to control the logs.

Additional context

Version: 2.8.2-gpu

[GautamSinghania]

For understanding, where are logs from tensorflow routed to? I assume error logs are routed to STDERR and others are routed to STDOUT, but please let me know if this assumption is wrong.

[Csehpi]

Hello, any update on this topic?

[trams]

With some basic guidance I can take a stab at this feature request but only if maintainers think it is something needed. I personally would benefit from an ability to configure logging

[bharatjetti]

Hi @ALL
Thank you so much for showing interest! We truly appreciate your enthusiasm and support.
We regret to inform you that we are not accepting new implementation requests or feature additions at this time. Please feel free to fork the repository and submit pull requests if you have any suggestions for enhancements, problem fixes, or ideas. We’d be more than happy to review and collaborate! If you would like to contribute , please follow our CONTRIBUTION GUIDELINES here and submit a pull request.
Thank you again for your interest, and we look forward to seeing your contributions!