tensorflow / tensorflow/cloud

[Feature Request] Support something like PrivateKubernetesTuner

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Dominant language
Python
Stars
383
Forks
93
Avg merge
1d 3h
Merged PRs (30d)
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Description

Hi,

This is a pretty awesome project. I see in tuner.py that this project only supports submitting on GCP. Is it on the roadmap to submit tuning experiments on a private kubernetes cluster?

Thanks!

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading src/python/tensorflow_cloud/tuner/tuner.py around line 333 to understand the existing GCP submission path. Determine the requirements for submitting tuning experiments to a private Kubernetes cluster, then define the supported behavior and tests needed to demonstrate that private-cluster submission works.

Written by the indexing model from the issue text.

Assessment

Tech stack
kubernetes, python, tensorflow
Domain
cloud, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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