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Please go to Stack Overflow for help and support:

https://stackoverflow.com/questions/tagged/tensorflow-serving

If you open a GitHub issue, here is our policy:

  1. It must be a bug, a feature request, or a significant problem with documentation (for small docs fixes please send a PR instead).
  2. The form below must be filled out.

Here's why we have that policy: TensorFlow developers respond to issues. We want to focus on work that benefits the whole community, e.g., fixing bugs and adding features. Support only helps individuals. GitHub also notifies thousands of people when issues are filed. We want them to see you communicating an interesting problem, rather than being redirected to Stack Overflow.


Feature Request

If this is a feature request, please fill out the following form in full:

Describe the problem the feature is intended to solve

A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

Describe the solution

A clear and concise description of what you want to happen.

Describe alternatives you've considered

A clear and concise description of any alternative solutions or features you've considered.

Additional context

Add any other context or screenshots about the feature request here.

Bug Report

If this is a bug report, please fill out the following form in full:

System information

  • OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  • TensorFlow Serving installed from (source or binary):
  • TensorFlow Serving version:

Describe the problem

Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow Serving.

Exact Steps to Reproduce

Please include all steps necessary for someone to reproduce this issue on their own machine. If not, skip this section.

Source code / logs

Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached. Try to provide a reproducible test case that is the bare minimum necessary to generate the problem.