tensorflow / tensorflow/tensorboard
Tensorboard slow with S3
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Description
Consider Stack Overflow for getting support using TensorBoard - they have a larger community with better searchability:
https://stackoverflow.com/questions/tagged/tensorboard
For bug reports, please include the following:
- TensorBoard version - 1.5.1
- TensorFlow version if different from TensorBoard - No
- OS Platform and version (e.g., Linux Ubuntu 16.04) - Tensorflow installed on EC2 instance of AWS
I have placed all event files in S3 bucket of AWS cloud. And its content size will be around 6 GB. The problem which I am facing is that the tensorboard is very slow in scanning all the event files. It is taking more than an hour. Is there a way to reduce the processing time.
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
The issue names no files, tests, or code entry points. Start by reproducing TensorBoard 1.5.1 scanning event files in an AWS S3 bucket of about 6 GB; done would require an agreed, demonstrated reduction in the more-than-one-hour scan time.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws
- Domain
- cloud, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100