Add support to read AI Platform Notebooks metadata environment
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
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.
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"
}
}
- Dominant language
- Python
- Stars
- 383
- Forks
- 93
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 1
Contributor guide
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