Support string as an input type
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- scala, spark, tensorflow
- Domain
- data-engineering, machine-learning
Research direction
No file or test is named. Start by tracing how existing TensorFlow input types are converted when loading a DataFrame into a graph, then compare the handling needed for tf.string arrays; done means string inputs load correctly without first passing through Python.
Written by the indexing model from the issue text.
Description
The tf.string type is required to properly load images into a graph, without having to first go through python. This one may be a bit more tricky than the other types since it is an array type.
- Dominant language
- Scala
- Stars
- 743
- Forks
- 158
- PR merge metrics
- No merged PRs in 30d
Getting set up
- Ships a Dockerfile or Docker Compose file
- No pull request template
- No contributing 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.
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