Add support to read AI Platform Notebooks metadata environment
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 383
- Forks
- 93
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 1
Description
As part of AI Platform Notebooks DLVM OS, when a user saves a Notebook (.ipynb) file, metadata is written to define image version/container.
Provide ability of tensorflow-cloud to infer Metadata when passing container information if available to AI Platform.
{
"environment": {
"name": "tf2-2-3-gpu.2-3.m56",
"type": "gcloud",
"uri": "gcr.io/deeplearning-platform-release/tf2-2-3-gpu.2-3:m56"
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.8"
}
}
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
No files, tests, or entry points are named. Start by locating tensorflow-cloud's handling of container information and the path that receives a .ipynb file, then compare it with the AI Platform Notebooks metadata example in the issue. Done means available environment metadata can be inferred when present and existing behavior remains unchanged when it is absent.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- gcp, jupyter-notebook, python
- Domain
- backend, cloud
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100