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FunnyAlligator17
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3 Questions, 15 Answers
  Active since 18 April 2023
  Last activity 9 months ago

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15 × Eureka!
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one year ago
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Hello 👋 ! I am trying to use the NEW RUN button of the Pipeline UI, it correctly clone the config of the last pipeline I ran but during its execution the ov...
9 months ago
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Hello 👋 ! I am trying to leverage the retry_on_failure with a PipelineController (using functions aka add_function_step ) to update my step parameters for t...
9 months ago
0 Hello

Not sure but kinf of. I also want to clone the pipeline and change the hyperparameters but not from one specific task more like globally on my pipeline but same conclusion as him ( it is running on default parameters, given when pipeline was 1st run ), I am using from_functions .
Not clear for me what you mean by running the cloned pipeline with an agent (maybe the answer is inside my snippet above)?

9 months ago
0 Hello

yes let me know if it is enough because I needed to remove a lot of internal stuff (logs are associated to snippet above):

9 months ago
0 Hello

Hello @<1523701087100473344:profile|SuccessfulKoala55> , just try it and still no success, same error as before Error executing job with overrides: [] even if inside Configuration/Hyperparameters/Args overrides is correctly fill

9 months ago
0 Hello

I am using:

ClearML SDK Version: clearml==1.12.0
ClearML Server Version (Only for self hosted): 1.9.2-317
9 months ago
0 Hello, We Have A Self Hosted Clearml Server Connected To Different Queues And Use It To Launch Remote Experiments (Clearml==1.9.3, Clearml-Agent==1.5.2Rc0). It Is Working Really Well For Us Unless One Workflow :) We Would Like To Abort An Experiment And E

Yes I am saying that not matter if we set_initial_iteration(0) and also continue_last_iteration=0 on the task init, if I requeue the task the last iteration is no reset and I still have a gap in my scalars
Let me know if you need more information of my env/worklow or need a dedicated issue

one year ago
0 Hello, We Have A Self Hosted Clearml Server Connected To Different Queues And Use It To Launch Remote Experiments (Clearml==1.9.3, Clearml-Agent==1.5.2Rc0). It Is Working Really Well For Us Unless One Workflow :) We Would Like To Abort An Experiment And E

It is fixed with a single task workflow (abort then enqueue), but within a pipeline with retry_on_failure I have the same offset (that appear after each fail on my scalars). Yes we have clearml==1.11.0

10 months ago
0 Hello, We Have A Self Hosted Clearml Server Connected To Different Queues And Use It To Launch Remote Experiments (Clearml==1.9.3, Clearml-Agent==1.5.2Rc0). It Is Working Really Well For Us Unless One Workflow :) We Would Like To Abort An Experiment And E

Hello,
I had again the same problem but within a remote pipeline setup. The task launching the pipeline has continue_last_task=0 but I guess this argument is not shared to the node/step that it will launched because when the retry_on_failure of add_function_step is triggered we start to see again the offset inside the scalars of the node. Is there a way to inherit arg of the base task or something like that?

10 months ago