yes, that works..but wasn't the issue with logging tensors?

BTW MagnificentSeaurchin79 just making sure here:

but I don't see the loss plot in scalars

This is only with Detect API ?

I'll need to see how to extract only the part that we care about

Here it is:
https://github.com/allegroai/clearml/issues/321

<tf.Tensor 'Loss/RPNLoss/localization_loss:0' shape=() dtype=float32
This is what is being logged as scalar in the OD API

ping AgitatedDove14 ... 😄

I don't think so..I had a problem before 0.17.5

let me know if you need any help/ have issues trying to reproduce...thanks!

MagnificentSeaurchin79 making sure the basics work.
Can you see the 3D plots under the Plot section ?
Regrading the Tensors, could you provide a toy example for us to test ?

Hi MagnificentSeaurchin79
This sounds like a deeper bug (of a sort), I think the best approach is to open a GitHub issue with some code that can reproduce this behavior, or at least enough information so that we could try to catch the bug.
This way we will make sure it is not forgotten.
Sounds good ?

This should have worked with the latest clearml RC.
And you verified it is not working?

Sure!

This is only with Detect API ?

I only tested it with the Detect API

Thanks MagnificentSeaurchin79 !
Let me check what's the status with this one, could it be the same as this one?
https://github.com/allegroai/clearml/issues/322

these?

Hi MagnificentSeaurchin79
Could you test with the tesnorflow toy example?
https://github.com/allegroai/clearml/blob/master/examples/frameworks/tensorflow/tensorboard_toy.py

Thanks!

Thanks!

And no scalars ?

@ https://app.slack.com/team/U01J3C692M8 where you able to come up with a solution?

Hi AgitatedDove14 ! Were you able to reproduce this?

This looks strange that only a single scalar is reported.

It's kind of a pain to setup Tensorflow Object Detection API

clearml == 0.17.5rc5
google_cloud_storage == 1.36.1
joblib == 1.0.1
matplotlib == 3.3.4
numpy == 1.20.0
object_detection == 0.1
opencv_python_headless == 4.5.1.48
pandas == 1.2.3
scikit_learn == 0.24.1
tensorflow == 2.4.0

oh I see..good luck!

only these

whereas this is what is being logged in your toy example: tf.Tensor(1742.0144, shape=(), dtype=float32)