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.

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

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 guess I could do a backup of the DB and flush the data, but what I’m looking for is more of a “Select X experiments -> Send to blob storage” to free up space.

Ahh excellent! Thanks AgitatedDove14 🙂

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

Oh okay, so you’re saying the UI will always use plotly to display the data? I guess I got confused since the color choices in https://allegro.ai/docs/examples/frameworks/pytorch/pytorch_tensorboard/ made it look like the TensorBoard graphs.

However in this case the option is grayed out

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

Hang on, It was the static - No auto update AMI:
ami-0d6f44a1a7145a9f8

Can I force the login window?

Oh god

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

Yes, the login details to the Trains UI

Looks like we’re up and running

Thank you 😅 Very much

That’s embarassing

You were absolutely right

And now it works

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.

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

Hi SuccessfulKoala55 , I believe I was only given one option in my region (EU Stockholm) which was the 0.16.1 version with the AMI location:

aws-marketplace/allegroai-trains-server-0.16.1-320-273-c5c210e4-5094-4eb9-a613-a32c0378de31-ami-06f5e9f4dfa499dca.4

I used the Trains AMI, and I am not sure whether it was the auto-updated or static one

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.

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.

I’d like to create an animated gif