tensorflow / tensorflow/tensorboard
Support filesystems from tensorflow/io
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Description
The tensorflow/io repository has other file systems implemented such as azure blob storage as of 0.7.0. Currently running with these returns 'UnimplementedError: File system scheme 'az' not implemented' which makes sense.
I'm wondering what we could do here so we can utilise the file systems from tensorflow/io as log directories when launching tensorboard from the terminal?
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 by reviewing TensorBoard's terminal log-directory handling and how tensorflow/io exposes filesystem schemes. Done means TensorBoard can use the tensorflow/io filesystems, including Azure Blob Storage, as log directories when launched from the terminal.
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Assessment
- Domain
- cloud, devtools
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100