erezalg

Hi @sephib, So what we're planning to do is, as you suggested, add a "format" parameter which will take the format you'll save your data object in clearml. We plan...

Hi @sephib, So what we're planning to do is, as you suggested, add a "format" parameter which will take the format you'll save your data object in clearml. We plan...

Hi @sephib, we just release clearml 1.4.0 that adds the ability to chose the artifact saved foramt :) in upload_artifact() method you'll find the "format" parameter, it allows you to...

Hi @shaziaakbar, Just to make sure I understand correctly, you'd like to store locally the models created in offline mode, and then when importing the offline session to clearml, we...

Hi @jax79sg, So, the good thing is that we have something that should make life easier :) When calling Dataset.get() if you'll add an "alias" parameter, the dataset will be...

Hi @jax79sg, Thanks! that's indeed a good option. Can you elaborate on looking at the granularity? You mean, not only to see which experiment uses the dataset, but also what...

Hi @manelabinyamin, I'll take a look at it, I (unfortunately) still do not have a DGX, but I'll hunt a machine with multiple GPU's :)

Hi @manelabinyamin , Was able to reproduce this issue. I just want to make sure what we're seeing is the same. The only difference between multi GPU and single GPU...

Hi @manelabinyamin , Yeah that makes sense :) We're looking into it and hopefully will come up with a solution soon!

Hi @schiegl and @gbartyzel , My apologies for not answering earlier, install the latest clearml version and in the upload_artifact() method you'll find a possibility to specify the serialization_function