Add support for user specified regions
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 383
- Forks
- 93
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 1
Description
Currently, job sent to AI Platform is always as specified in function get_region():
https://github.com/tensorflow/cloud/blob/8644935271ffa4cc86f6be7d7af8f905d097cea4/src/python/tensorflow_cloud/core/gcp.py#L73
It would be useful if the user could specify the region, e.g. as a parameter in tfc.run.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with src/python/tensorflow_cloud/core/gcp.py at get_region(), then trace how tfc.run submits jobs to AI Platform. Determine where a user-specified region would enter the run path and verify that the submitted job uses it instead of the current default region.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- gcp, python, tensorflow
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100