Could this be an issue/bug CostlyOstrich36 ?

StormyLeopard75 has helped me reproduce this unexpected behaviour

Hi IdealGorilla64 , can you please provide a screenshot? How much smaller than 200 have you tried. And finally which version of ClearML are you using? 🙂

Yes, self-hosted version
WebApp: 1.3.0-165 • Server: 1.3.0-165 • API: 2.17

When the number of logged losses/metrics is around 80, everything works smoothly

Just a quick update on this. I have tried simulating my issue using the API and it seems that get_reported_scalars has an upper-limit of 100, whereas get_last_scalar_metrics returns all the logged metrics (200 in the example below)

Hi there, I am using v.1.3.2

Here is a screenshot, it seems that the metrics are not logged as they don’t appear in the “Toggle” window

Thanks for the swift reply btw 🙂

Thanks will try that!

CostlyOstrich36 TimelyPenguin76 any updates in here?

I'm not sure. Maybe TimelyPenguin76 can elaborate.
Looking at the docs for:
https://clear.ml/docs/latest/docs/references/sdk/task#get_reported_scalars

I can see it has a max_samples argument

TimelyPenguin76 can you assist?

I am using v.1.3.2

The SDK I assume.

Is this a self hosted version? What is the server version?

I recall a big fix to plots in server version 1.6.0, can you try upgrading to see if it fixes the issue?

Hello CostlyOstrich36 ! I tried to use the max_samples argument but it didn’t help since all scalars are returned in its default value (0).