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Answered
Hi Everyone, I Have One Quick Question Regarding The Artifact Uploading. I See The Output Models From Training Are Stored Under The "Output Models" Section In Artifacts Tab, And If I Do Upload Other Artifacts Using .Upload_Artifact() Api, They Are Stored

Hi everyone,
I have one quick question regarding the artifact uploading. I see the output models from training are stored under the "OUTPUT MODELS" section in artifacts tab, and if I do upload other artifacts using .upload_artifact() api, they are stored under the "OTHERS" section. I wonder if it possible to change the section name from "others" to, let's say "text"?
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).
Thanks in advance

  
  
Posted 2 years ago
Votes Newest

Answers 11


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).

  
  
Posted 2 years ago

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?

  
  
Posted 2 years ago

DeterminedOwl36 , what version of ClearML are you using? Also, does it happen if you run the script standalone and not through jupyter notebook?

  
  
Posted 2 years ago

DeterminedOwl36 I think for now you can't change this name

  
  
Posted 2 years ago

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.

  
  
Posted 2 years ago

I see. That's quite handy. Thanks!

  
  
Posted 2 years ago

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

  
  
Posted 2 years ago

You can just use task.logger.report_scalar() and report_image() for that 🙂

  
  
Posted 2 years ago

CostlyOstrich36 Yes, the same thing occurs. version: 1.1.2 for clearml-agent

  
  
Posted 2 years ago

DeterminedOwl36 can you please open a GitHub issue about it?

  
  
Posted 2 years ago

SuccessfulKoala55 Sure will do. :)

  
  
Posted 2 years ago