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GreasyKitten62
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3 Questions, 9 Answers
  Active since 28 October 2023
  Last activity 11 months ago

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8 × Eureka!
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9 Answers
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Hi team, wondering if there is a better way to do table reporting? Currently am using the report_table() function but the display doesn't support custom colu...
one year ago
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7 Answers
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0 Votes 7 Answers 911 Views
one year ago
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3 Answers
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0 Votes 3 Answers 683 Views
11 months ago
0 Hi, We Are Using Clearml For Our Experiment Tracking But Now Investigating Using The Pipeline Functionality As Well For Scheduling. We Also Want To Be Able To Trigger A Pipeline Run When There Is New Data In An External Database. Is This Possible? From Wh

Just use the pipeline ID, and make sure you push it into the services queue, voila

@<1523701205467926528:profile|AgitatedDove14> A somewhat related question - why is pushing into the services queue required as opposed to just pushing it into other queues? I have had experience where triggering a pipeline would not show up under the Pipelines tab in the web UI - it just shows up in Projects. Wondering if the queue matters for this.

11 months ago
0 Hi Team, Wondering If There Is A Better Way To Do Table Reporting? Currently Am Using The Report_Table() Function But The Display Doesn'T Support Custom Column Width, New Line, Etc. Thanks.

@<1523701087100473344:profile|SuccessfulKoala55> I mean in the ClearML UI (under PLOTS), you can't change the column width of a table reported this way. I tried to adjust the width but all it does is drag the column around.
For new line, I just add line breaks "\n" to the cells and the reported table basically just ignores it.

one year ago
0 Hi Team, Wondering If There Is A Better Way To Do Table Reporting? Currently Am Using The Report_Table() Function But The Display Doesn'T Support Custom Column Width, New Line, Etc. Thanks.

Hi @<1523701087100473344:profile|SuccessfulKoala55> , yeah here's the relevant code:

df = pd.DataFrame.from_dict(results)

logger = task.get_logger()

logger.report_table(
table_plot = df,
series = f"URL: {args['URL']}, Dataset: {args['Dataset']}",
title = "Full Response"
)

one year ago
one year ago
0 Hi Team, Can Someone Help Better Understand The Prerequisites For Running A Cloned Task (If Any)? Background: I Was Able To Run And Complete A Task From Vscode. The Same Task, When Cloned And Enqueued Would Result In A File Or Directory Not Found Error. T

I think I was able to find a fix by adding task.execute_remotely() to the script and execute from VSCode once. From there, all cloned tasks were able to run successfully. Is this the expected behavior?

one year ago
0 Hi Team, Can Someone Help Better Understand The Prerequisites For Running A Cloned Task (If Any)? Background: I Was Able To Run And Complete A Task From Vscode. The Same Task, When Cloned And Enqueued Would Result In A File Or Directory Not Found Error. T

@<1576381444509405184:profile|ManiacalLizard2> Thanks for your reply.
Due to security considerations, not sure if I can provide the full log but attached is the error message.
image

one year ago
0 Hello! How Do I Pass Default Github Environment Variables (Such As "Github_Event_Path") From Github Actions To The Clearml Agents? Github Actions Is Running On A Runner And Clearml Agents Are Hosted On A Separate Remote Machine. Was Basically Trying To Ac

Hi @<1523701205467926528:profile|AgitatedDove14>
Thanks for responding. I see where you are getting to but it doesn't appear there's any task being created here. The task_stats_to_comment.py is being run on the GitHub runner hence it is able to access the Github_event environment variable.
What you mentioned seems like is the case for my particular setup where the step in Github Actions triggers a clearml task by using the clearml-task command and the execution is happening on the clearml...

11 months ago