tensorflow / tensorflow/tensorboard
Use Colab `serve_kernel_port_as_iframe` API
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core:backend
type:cleanup
- Dominant language
- TypeScript
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Description
The Colab folks have upstreamed our iframe creation logic with a helper
modeled after ours:
It’s available as:
from google.colab import output
output.serve_kernel_port_as_iframe(port)
…and we already only render to Colab if google.colab is present.
May as well use it, simplifying our code a bit?
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 locating TensorBoard’s existing Colab-only iframe creation logic and compare it with the linked Colab helper, google.colab.output.serve_kernel_port_as_iframe(port). Done means the existing logic uses the upstream API and the relevant existing tests or checks still pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- frontend
- Issue type
- Refactor
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100