SuccessfulKoala55 I am trying to find a way to work around it for the time being. I have 2 requirements: 1) I want to log a custom metric that is computed only at the end of every epoch (unlike other tf metrics which are updated per mini-batch). If I follow the tf doc here, will ClearML log it for me and show on "scalars" tab? https://www.tensorflow.org/tensorboard/scalars_and_keras#logging_custom_scalars 2) It's the same thing as 1) but it's a image instead. https://www.tensorflow.org/tensorboard/image_summaries#logging_arbitrary_image_data
So, the 1st image (jupyter) is the code I used to create a task and upload the artifact. Then the task was created and I can access it normally with web GUI (like in the 2nd image). But when I click "artifacts" tab, the 404 error page appears (3rd image).
DeterminedOwl36 can you please open a GitHub issue about it?
CostlyOstrich36 Yes, the same thing occurs. version: 1.1.2 for clearml-agent
DeterminedOwl36 , what version of ClearML are you using? Also, does it happen if you run the script standalone and not through jupyter notebook?
I have tried
task.upload_artifact('/text/temp', 'temp.txt')
but it's not working (I can access the task, but as soon as I click artifacts tab, it shows 404 error).
Can you please elaborate on this? Can you please share a screenshot?
You can just use task.logger.report_scalar() and report_image() for that 🙂
DeterminedOwl36 I think for now you can't change this name
SuccessfulKoala55 I see. Hope it will be added as a new feature in the future version. For me, it's quite important for the organization purpose, especially if the task outputs many artifacts.