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CostlyOstrich36
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0 Questions, 4213 Answers
  Active since 10 January 2023
  Last activity 2 years ago

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0 Hi, I Have A Question About Migrating From Tensorflow 2.14 To 2.16. Up Until Now I Have Been Using

Hi @<1558986867771183104:profile|ShakyKangaroo32> , what version of clearml are you using?

one year ago
0 Hey, I Am New With Clearml And Need Some Help

Think of it this way. You have the pipeline controller which is the 'special' task that manages the logic. Then you have the pipeline steps. Both the controller and the steps need some agent to execute them. So you need an agent to execute the controller and also you need another agent to run the steps themselves.

I would suggest by clicking on 'task_one' and going into full details. My guess it is in 'enqueued' state probably to the 'default' queue.

one year ago
0 Is There An External Way To Access Pipelinecontroller._Relaunch_Node(Node) ?

Hi @<1639799308809146368:profile|TritePigeon86> , can you please elaborate? What do you mean by external way?

one year ago
0 I Am Experiencing Performance Issues With Using Clearml Together With Pytorch Lightning Cli For Experiment Tracking. Essentially What We'Re Doing Is Fetching The Logger Object Through Task.Get_Logger() And Then Using The Reporting Methods. However, It Ad

Hi SoreHorse95 ,

Does ClearML not automatically log all outputs?

Regarding logging maybe try the following setting in ~/clearml.conf sdk.network.metrics.file_upload_threads: 16

3 years ago
0 I'M Getting This Error Across Different Machines

@<1547028079333871616:profile|IdealElephant83> , what are you trying to do during the code execution?

Is it a self hosted server?

2 years ago
0 Hi Team, I Need Some Help, I'M Working On A Pipeline And I Need To Clone A Remote Repository, Where Do I Have To Set The Credentials Of Bitbucket? Thanks A Lot For Your Help

Hi @<1668427950573228032:profile|TeenyShells80> , you would need to configure it in the clearml.conf of the machine running the clearml-agent

one year ago
0 I Am Working On Versioning My Data With Clearml-Data. I Have Clearml Server Deployed On One Machine And On Another Machine I Have My Clearml.Conf Setup To Use The Deployed Clearml Server. Also, On Both Machines I Have A Nas Storage Mounted On The Same Pat

RipeAnt6 , you have to manage your storage on the NAS yourself. We delete data only on the fileserver.

However, you could try mounting the NAS to the fileserver docker as a volume and then deletion should also handle files on the NAS 🙂

4 years ago
2 years ago
0 ..

Hi @<1539780284646428672:profile|PoisedElephant79> , please post in the same thread you started, no need to spam the main channel 🙂

Regarding your issue - it looks like you have some issue with authentication. How are you spinning the server?

2 years ago
0 Hi All! Is It Possible To Initialize Multiple Tasks, Each Containing

Hi @<1874989039501709312:profile|LividDragonfly0> , you can easily achieve that with pipelines

28 days ago
0 I Have A Question Related To Pipelinev2 (Using Decorator) Is Pipelinev2 Support Uploading Artifacts To S3 (Instead Of Fileserver)?

Try configuring the following and tell me if this helps 🙂
In your ~/clearml.conf configure the following:
sdk.development.default_output_uri: "<S3_bucket>"

4 years ago
0 Hi, Is There A Way To Enqueue The Dataset

EnormousCormorant39 , there are SDK methods for using the datasets. I think this will simplify your process immensely.
https://clear.ml/docs/latest/docs/references/sdk/dataset

Also here is a small example for the usage 🙂
` task = Task.init(project_name="<PROJECT_NAME>", task_name="<TASK_NAME>")

#Create dataset
ds = Dataset.create(dataset_name="<DATASET_NAME>", dataset_project="PROJECT_NAME")
ds.add_files("<PATH_TO_FILE/S>")
ds.upload()
ds.finalize() `

3 years ago
0 Hi All. In Self Hosted Clearml Suddenly Scalars Stopped To Be Shown In Scalars Tab. Any Ideas?

@<1523701553372860416:profile|DrabOwl94> , I would suggest restarting the elastic container. If that doesn't help, check the ES folder permissions - maybe something changed

2 years ago
0 Hello Everyone. I Was Following The Docs About Creating Pipelines Using Decorators (As It Looked Really Neat). Everything Worked Well For My Example, But I'Ve Noticed That Much Time For Building The Container Was Taken By Installing Packages That Weren'

I was also curious if I've missed an easy way to mention required packages for the controller, like you can do that in components (by providing

packages=[...]

).

I think you can do this using https://clear.ml/docs/latest/docs/references/sdk/task#taskadd_requirements
I'm not sure how the pipeline controller is handled but it still should be regarded as a task on a deeper level.

Meaning that you might need to use task = Task.current_task() and then ` task.add_r...

3 years ago
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