Noted. Thanks SuccessfulKoala55 - I was aware of this, yet I didn’t think it would also compare in the comparison window - It does. My god, I love your product.

Not sure if you've tried this, but would click work? Otherwise the simplest thing I know is possible in Click, is to send the Dict of arguments further down the pipeline for the Allegro callback listener.

Hi AgitatedDove14

Turns out my double loop caused some issues.

for e in range(num_epochs): for phase in ['train','valid']: for batch in dataloader:

I'm afraid I just had an improper indentation somewhere, no harms done. Thanks for the reply.

Upon removing the phase loop the epoch was detected automatically again.

Hi AgitatedDove14 - I used the Tensorboard writer.scalars function. Haven't tried the Plotly natively, but I guess its the same, since I imagine you're just doing a passthrough.

according to https://plotly.com/python/v3/LaTeX/ plotly should support Latex in labels since 3.6.0

Many thanks! Got to say; You’ve made and are making a killer of a product!

No, but I am able to delete other folder with experiements

However in this case the option is grayed out

Hi AgitatedDove14 , I am also unable to archive the individual experiments in it.

It's not a major issue, but it would be nice to remove as some users may get confused.

Hi Martin, thanks for the swift response.

Yes, the artifacts, as backing up the full database would not resolve the question of capacity. Unless I’m missing something

Additionally -

Are there any clever functionality for dumping experiment data to external storage to avoid filling up the server?

I just changed the login details prior the restarting of the server, could this be at fault? I changed the trains-user to a different one

Looks like we’re up and running

Yes, the login details to the Trains UI

That’s embarassing

Oh god

Ahh excellent! Thanks AgitatedDove14 🙂

Thank you 😅 Very much

You were absolutely right

And now it works

Yes, exactly, from a previously executed run. Essentially, I write a grid of images which are supposed to learn a generative task, i’d like to download all images and generate a gif from the collection of images.

Likely related to: https://github.com/allegroai/clearml/issues/321 - clearML waits indefinitely on logs from TF v1

I'm manually executing on a local machine

I see, no i do not get anything. I either get pop-ups when trying to capture the mpl figure, and otherwise nothing happens when using report_image .

I should mention this is run within a TF v1 session context

And another detail, upon running the same code in a notebook session, everything gets stored as intended (to clearML dashboard)

I am able to register that the image exists, however, the push towards the clearML server just does not happen

I'm running in the command line with Hydra and TFv1

Still having the same issue I'm afraid