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MinuteGiraffe30
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3 Questions, 14 Answers
  Active since 10 January 2023
  Last activity one year ago

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14 × Eureka!
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10 Answers
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Hello everyone! I'm using S3 for my model saving. During hyperparameter optimization my new tasks get very long names due to override parameters and uploadin...
2 years ago
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6 Answers
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0 Votes 6 Answers 1K Views
one year ago
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9 Answers
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2 years ago
0 Hello Everyone! I'M Using S3 For My Model Saving. During Hyperparameter Optimization My New Tasks Get Very Long Names Due To Override Parameters And Uploading Path Becomes Something Like This "/Traffic Lights Classification/

I came up with a workaround to solve this problem, but since I run tasks remotely, where not my modified clearml code is used, this problem will remain until you fix it. Should I duplicate this issue in the github?

2 years ago
0 Hello Everyone! I'M Using S3 For My Model Saving. During Hyperparameter Optimization My New Tasks Get Very Long Names Due To Override Parameters And Uploading Path Becomes Something Like This "/Traffic Lights Classification/

AgitatedDove14  
Stackoverflow says about the size of the file name, but here the problem is with the size of the folder name. Not sure if the file and folder limits are the same. The error that occurs says that An error occurred (XMinioInvalidObjectName) when calling the CompleteMultipartUpload operation: Object name contains unsupported characters. . At first I thought I was using the wrong characters in the task title, such as backslash, colon or space. But I managed to upload model...

2 years ago
0 Hi, Thank You So Much For Your Awesome Product! But I Have One Issue, Please Tell Me How To Fix It: I Deployed Clearml-Server On A Corporate Virtual Machine. Its Address 10.68.167.10. I Am Able To Send Requests From All Other Virtual Machines On The Serv

Is it possible to change the port for API server? I tried replacing ports in apiserver section in docker-compose.yml.
ports: - "8008:8011"But it didn't help. Now curl http:/10.68.167.10:8011 does not work from the host machine.

one year ago
0 Hi, Thank You So Much For Your Awesome Product! But I Have One Issue, Please Tell Me How To Fix It: I Deployed Clearml-Server On A Corporate Virtual Machine. Its Address 10.68.167.10. I Am Able To Send Requests From All Other Virtual Machines On The Serv

Nice, curl http:/10.68.167.10:8011 now works. But in credentials creation it still shows 8008. Are there any other places in docker-compose.yml where port from 8008 to 8011 should be replaced?

one year ago
0 Hello Everyone! I'M Using S3 For My Model Saving. During Hyperparameter Optimization My New Tasks Get Very Long Names Due To Override Parameters And Uploading Path Becomes Something Like This "/Traffic Lights Classification/

I run model training for weeks, where I train hundreds of models with different hyperparameters. Therefore, I need automatic naming of newly created tasks. Maybe there are some examples of how to set custom task naming scheme?

2 years ago
2 years ago
0 Hi, Guys! Thank You A Lot For Your Great Software, But I'Ve Got A Problem. I Have Got Two Remotes: Gitlab And Gitea. The Branch From Which I Run The Code Is Upstreamed With Gitea. However, In The Clearml Experiment, Gitlab Repository Is Automatically Sele

I don't know if this will always work.
You have correctly describe my issue. How does ClearML select reference branch? Could it be that ClearML only checks "origin" branch?

2 years ago
0 Hi, Guys! Thank You A Lot For Your Great Software, But I'Ve Got A Problem. I Have Got Two Remotes: Gitlab And Gitea. The Branch From Which I Run The Code Is Upstreamed With Gitea. However, In The Clearml Experiment, Gitlab Repository Is Automatically Sele

For Task creation I am using Task.init in my code. Due to documentation it should make "A link to the running git repository (including commit ID and local uncommitted changes)", however it chooses another repository.

2 years ago