tensorflow / tensorflow/tensorboard

Image data not getting updated

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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 (from pip package, also printed out when running tensorboard) - 1.11.0
  • TensorFlow version if different from TensorBoard - 1.9
  • OS Platform and version (e.g., Linux Ubuntu 16.04) - CloudML (MacOS 10.14)
  • Python version (e.g. 2.7, 3.5) - 2.7
  • For browser-related issues:
    • Browser type and version (e.g. Chrome 64.0.3282.140) - Chrome
    • Screenshot if it's a visual issue

Tensorboard not updating image data / summary at all. No images are displayed.

Hi,

I am training a retina-net model with resnet-101 as backbone on a tpu. I started an eval job on a GPU machine but the tensorboard only shows data pertaining to loss. Not all the scalars, i.e., mAP, recall, etc. are displayed. Neither are the images. The job logs show metrics information though. I am assuming that these are not being written to event files; however, I haven't changed anything that would cause this issue.
I also ran a tensorboard inspection on the event files. Please find the screenshot of the result:
image

Looking forward to hearing from you.
Thank you.

Vishal

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the report with TensorBoard 1.11.0, TensorFlow 1.9, Python 2.7, and the described event files, then run TensorBoard's event-file inspection. Done means determining why the image and scalar summaries are absent or not displayed, with those summaries visible in TensorBoard.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-visualization, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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