VexedCat68

60 Questions, 381 Answers

Active since 10 January 2023

Last activity one year ago

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371 × Eureka!

Answers 381

0 Having A Problem Using Clearml-Data. When I Create Dataset And Get It Later Using Id, In Same Code File, It Works Normally. Now If I Later Try To Get That Dataset In File 2 In The Same Directory, I Get An Error Regarding State Or Something And Am Not Able

I think I understand now that I first need to have clearml server up and running.

4 years ago

0 Is This The Write Way To Add A Tag To An Output Model Artifact Of A Task? Torch.Save(Model, '

I'm on windows rn, and I work with clearml on ubuntu. I think it's 1.1.5rc4

3 years ago

0 I'D Been Following The Clearml Serving Example On Its Github Repo Here. It Basically Deploys A Keras Mnist Model. The Tutorial However Ends Once The Model Is Deployed However And I'Ve Tried Going Through Resources On How To Do Inference But Have Had Troub

For anyone who's struggling with this. This is how I solved it. I'd personally not worked with GRPC so I instead looked at the HTTP docs and that one was much simpler to use.

3 years ago

0 I'M Publishing The Model Artifact After The Tensorflow Model Is Saved. But In The Ui, The Download Button Is Grayed Out. And Get_Local_Copy() Doesn'T Seem To Work Either, Help Would Be Appreciated.

Basically saving a model on the client machine and publishing it, then trying to download it from the server.

3 years ago

0 Is There A Quicker Way To Abort All Running Experiments In A Project? I Have Over A Thousand Running Anonymous Data Tasks In A Specific Project And I Want To Abort Them Before Debugging Them.

Even though I ended my schedulers and triggers, the anonymous tasks keep increasing.

3 years ago

0 I Keep Facing This Issue. I'M Trying To Set Up My Own Clearml Server Using This Tutorial.

Shouldn't I get redirected to the login page if i'm not logged in instead of the dashboard? 😞

4 years ago

0 Is There A Clearml Way To Write A Scheduler To Watch A Folder And Publish A Dataset When There Are X Number Of Files In That Folder, Or Do I Have To Write A Normal Python Scheduler?

I'll take a look thank you

3 years ago

0 Um, Is There A Way To Delete An Artifact From A Task That Is Running?

And given that I want have artifacts = task.get_registered_artifacts()

3 years ago

0 Another Simple Query Guys. I'Ve Installed Clearml On Ubuntu. However, It Says Command Not Found When I Run Any Command With Clearml . I Feel Like It Might Be An Issue With Environment Variables But I Have No Idea How To Fix This.

It says command not found.

4 years ago

0 I'Ll Just Ask This Question Again To Get Some Fresh Attention To This. Is There Any Way To Run A Pipeline Step Conditionally? E.G, Under Certain Condition, Execute The Step Otherwise Don'T?

I checked the value is being returned, but I'm having issues accessing merged_dataset_id in the preexecute_callback like the way you showed me.

3 years ago

0 I'M Looking At How Triggers Work In Clearml. Is There An Example, Maybe With Clearml Data And A Dataset Being Uploaded Or Some Other Example?

Thank you for the help with that.

4 years ago

0 Is There Any Way To Stop All Clearml Agent Workers On A Machine Or Stop Workers From The Clearml Ui?

alright, so is there no way to kill it using worker id or worker name?

3 years ago

Done it.

3 years ago

I was getting a different error when I posted this question. Now i'm just getting this connection error

4 years ago

0 I'M Training A Tensorflow Model And Saving It In The End. I Looked At The Outputmodel Class. How Do I Connect The Model I'M Saving To The Outputmodel?

Previously I wasn't. I would just call model.save, but I was unsure how to do modifications in the output model, which is why I made the output model.

I hope you understood my problem statement. I want to solve the issue with or without output model. Any help would be appreciated.

Basically, at the least, would like to be able to add tags, set the name and choose to publish the model that I'm saving.

3 years ago

0 Sorry For The Barrage Of Questions. I Can'T Seem To Figure Out How Best To Get A Python Script I Need To Run On An Agent. I Have An Agent Listening To The Default Queue And I Also Have The Script That I Need To Run On The Agent. Can You Guide Me On How To

I'll try to see how to use the sdk method you just shared

3 years ago

0 When Using Dataset.Get_Local_Copy(), Once I Get The Location, Can I Add Another Folder Inside Location Add Some Files In It, Create A New Dataset Object, And Then Do Dataset.Upload(Location)? Should This Work? Or Since Its Get_Local_Copy, I Won'T Be Able

Wait is it possible to do what i'm doing but with just one big Dataset object or something?

3 years ago

0 I'M Publishing The Model Artifact After The Tensorflow Model Is Saved. But In The Ui, The Download Button Is Grayed Out. And Get_Local_Copy() Doesn'T Seem To Work Either, Help Would Be Appreciated.

The server is on a different machine. I'm experimenting on the same machine though.

3 years ago

0 I'M Looking At How Triggers Work In Clearml. Is There An Example, Maybe With Clearml Data And A Dataset Being Uploaded Or Some Other Example?

To be more clear. An example use case for me would be, that I'm trying to make a pipeline which every time a new dataset/batch is published using clearml-data,

Get the data Train it Save the model and publish it
I want to start this process with a trigger when a dataset is published to the server. Any example which I can look to for accomplishing something like this?

4 years ago

0 Another Question, I Have Written A Code That Includes A Task Scheduler That Calls A Function. That Function Watches A Folder And If There Are Sufficient Images, It Creates And Publishes The Dataset, After Which It Clears The Folder. Problem, For Some Rea

I'll test it with the updated one.

3 years ago

0 Given This Pipeline Step, Is There Any Way To Get The Return Value Outside Of The Pipeline? Like Put Split_Dataset_Id In A Variable In The Main Pipeline File.

I want to maybe have a variable in the simple-pipeline.py, which has the value returned by split_dataset

3 years ago

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