Set log level
Open
Nobody has claimed this yet.
- Dominant language
- Java
- Stars
- 928
- Forks
- 227
- PR merge metrics
- No merged PRs in 30d
Description
System information
- TensorFlow version (use command below): 1.15
Describe the current behavior
When using the current Java bindings for TensorFlow, the log gets filled with output from every operation when a model is evaluated. I was unable to find a way to set the log level via the Java API. Is this at all possible? If not, could you please consider adding this functionality in future versions?
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 the Java API and the discussion about logs emitted while a model is evaluated; no source file or test is identified in the issue. Determine whether log-level control is already available and, if not, define the API behavior and verification needed for the requested functionality.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java, tensorflow
- Domain
- api, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100