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JumpyClams73
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10 Questions, 57 Answers
  Active since 10 January 2023
  Last activity one year ago

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57 × Eureka!
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10 Answers
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Hi, I've just started to evaluate ClearML for internal use at my org and am wondering if there's anyway to import data from old experiments into the dashboar...
2 years ago
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3 Answers
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Hi, I'm looking for documentation on GCP autoscalers. When I search on the docs site, it shows me the AWS autoscaler but not the GCP one. Can someone point m...
2 years ago
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30 Answers
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2 years ago
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Hi, I'm looking at https://clear.ml/docs/latest/docs/webapp/webapp_exp_tuning/#base-docker-image where it says To add, change, or delete a base Docker image:...
2 years ago
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1 Answers
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2 years ago
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Hi, I'm using ClearML's hosted free SaaS offering. I'm running model training in PyTorch on a server and pushing metrics to CML. I've noticed that anytime my...
2 years ago
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18 Answers
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0 Votes 18 Answers 1K Views
Hi, I'm trying to run the following API call # Imports ... client = APIClient() resp = client.events.get_scalar_metrics_and_variants("MY_TASK_ID")but it erro...
2 years ago
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Hi, For the CML SaaS Pro tier - are the first 3 users still free and I'll only be charged for any additional users?
2 years ago
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0 Votes 6 Answers 1K Views
2 years ago
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2 years ago
0 Hi, I'Ve Just Started To Evaluate Clearml For Internal Use At My Org And Am Wondering If There'S Anyway To Import Data From Old Experiments Into The Dashboard. Anyone Have Any Thoughts On This?

We have run experiments in the past (before I put ClearML into my code) which has logged scalars, plots etc. to local tensorboard. Is there any way to import this data to ClearML cloud for tracking, visualization and comparison?

2 years ago
0 Hi, I'M Trying To Run The Following Api Call

Ok. I think I misunderstood what you said. I thought you meant you've already opened a bug ticket. If that's not the case, do you want to me create one on github?

2 years ago
0 Hi, I'M Trying To Run The Following Api Call

Thanks! Do you have a public bug tracker? If yes, are you able to share the issue number so I can follow it?
I need to put it into my code, so will be eagerly waiting for the fix

2 years ago
0 Hi, I'M Using Clearml'S Hosted Free Saas Offering. I'M Running Model Training In Pytorch On A Server And Pushing Metrics To Cml. I'Ve Noticed That Anytime My Training Job Fails Due To Gpu Oom Issues, Cml Marks The Job As

I haven't had much time to look into this but ran a quick debug and it seems like the exception on the __exit_hook variable is None even though the process failed. So seems like hydra maybe somehow preventing the hook callback from executing correctly. will dig in a bit more next week

2 years ago
0 Hi, I'M Trying To Run The Following Api Call

Also tagged you SuccessfulKoala55
Thanks for the quick support!

2 years ago
0 Hi, I'M Trying To Clone And Queue Experiments For Running Them On My Workers. I Am Able To Successfully Clone And Queue The Task, But Seems Like The Task Does Not Pass The Correct Parameters To My Python Script On The Worker. We Use Hydra For Configuring

Thanks for getting back Martin. The hydra example fails when i try to queue it to my local with
Starting Task Execution: Traceback (most recent call last): File "hydra_example.py", line 10, in <module> @hydra.main(config_path="config_files", config_name="config") AttributeError: module 'hydra' has no attribute 'main'

2 years ago
0 Hi, I'M Using Clearml'S Hosted Free Saas Offering. I'M Running Model Training In Pytorch On A Server And Pushing Metrics To Cml. I'Ve Noticed That Anytime My Training Job Fails Due To Gpu Oom Issues, Cml Marks The Job As

AgitatedDove14 finally had a chance to properly look into it and I think I know what's going on
When running any task with hydra, hydra wraps the called method in its own https://github.com/facebookresearch/hydra/blob/a559aa4bf6807d5e3a82e065987825fa322351e2/hydra/_internal/utils.py#L211 . When the task throws any exception, it triggers the except block of this method which handles the exception.
CML marks a task as failed only if the whatever exception the task generated was not ha...

2 years ago
0 Hi, I'M Looking At

Aah I see it only says Image . Somehow I hit tunnel vision on Base Docker Image as stated in the docs and couldn't identify both to mean the same thing 😅 thanks

2 years ago
0 Hi, I'M Trying To Clone And Queue Experiments For Running Them On My Workers. I Am Able To Successfully Clone And Queue The Task, But Seems Like The Task Does Not Pass The Correct Parameters To My Python Script On The Worker. We Use Hydra For Configuring

I thought the agent created a new conda env and installed all packages, recorded during initial task run, from scratch (except for caching with venv). Is that not the case?

2 years ago
0 Hi, I'M Trying To Clone And Queue Experiments For Running Them On My Workers. I Am Able To Successfully Clone And Queue The Task, But Seems Like The Task Does Not Pass The Correct Parameters To My Python Script On The Worker. We Use Hydra For Configuring

I tried using 1.2.0rc1 but it doesn't work as expected. We have a bunch of options for fire in the entrypoint, but irrespective of whichever I enter on the command line, fire still just executes the first command that was defined in my dictionary under fire.Fire({...}) . It however routes to the correct command if I use 1.1.6 which tells me that this is being caused by some issue with 1.2.0rc1

2 years ago
0 Hi, I'M Trying To Clone And Queue Experiments For Running Them On My Workers. I Am Able To Successfully Clone And Queue The Task, But Seems Like The Task Does Not Pass The Correct Parameters To My Python Script On The Worker. We Use Hydra For Configuring

(the one created when you executed the code on your laptop

I haven't executed the task myself at all. I just cloned it from the examples that are available in the SaaS console upon account creation - specifically hyper-parameters example under the ClearML Examples project.

2 years ago
0 Hi, I'M Trying To Run The Following Api Call

I think there's some confusion here. I'm not running the server. My metrics are getting logged to the CML cloud.

2 years ago
0 Hi, I'M Using Clearml'S Hosted Free Saas Offering. I'M Running Model Training In Pytorch On A Server And Pushing Metrics To Cml. I'Ve Noticed That Anytime My Training Job Fails Due To Gpu Oom Issues, Cml Marks The Job As

No, we currently don't handle it gracefully. It just crashes. But we do use hydra which does sort of arrests that exception first. I'm wondering if it's Hydra causing this issue. I'll look into it later today

2 years ago
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