AgitatedDove14

49 Questions, 8124 Answers

Active since 10 January 2023

Last activity one year ago

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25 × Eureka!

Answers 8124

0 Hi, I Wanted To Try Model Versioning, Suppose That I'Ve A Model And Want To Have Multiple Versions Of The Same Model And To Be Able To Have Inference On These Models(For Example

Thanks @<1671689437261598720:profile|FranticWhale40> !
I was able to locate the issue, fix should be released later today (or worst case tomorrow)

one year ago

0 Assuming I Have A

That is correct.
Obviously once it is in the system, you can just clone/edit/enqueue it.
Running it once is a mean to populate the trains-server.
Make sense ?

5 years ago

0 Hi, Can I Choose Not Print The Clearml-Agent Config Logs In The Console? Reason Is We Are Passing Credentials Via Env Var To The K8S Glue And Its Being Displayed In The Console As ...

Hmm so is the problem having the gituser inside the code? or the k8s_glue print ?

4 years ago

0 I Am Also Experiencing A Weird Behaviour When Running A Script Using The Module Flag. For Example I Run:

command line to the arg parser should be passed via the "Args" section in the Configuration tab.
What is the working directory on the experiment ?

4 years ago

0 Hello, I use ```'-e', 'CLEARML_AGENT_AGENT_DOCKER_INTERNAL_MOUNTS__SDK_CACHE=/home/username/clearml_agent_cache',``` yet my mount looks like this ```'-v', '/home/clearml/.clearml/cache:/clearml_agent_cache',``` I want clearml to use `/home/username/clearm

Hi @<1715900788393381888:profile|BitingSpider17>
Notice that you need __ (double underscore) for converting "." in the clearml.conf file,
this means agent.docker_internal_mounts.sdk_cache will be CLEARML_AGENT__AGENT__DOCKER_INTERNAL_MOUNTS__SDK_CACHE
None

one year ago

0 Anyone Seeing These Errors?

okay let me check...

3 years ago

0 Bug?

Hmm interesting...
of course you can do:
dataset._task.connect(...)But maybe it should be public?!

How are you using that (I mean in the context of a Dataset)?

2 years ago

0 Hi! I Was Wondering Why Clearml Recognize Scikit-Learn Scalers As Input Models... Am I Missing Something Here? For Me It Would Make Sense To Include The Scalers As A Configuration Object Of The Trained Model, Not Outside

GiganticTurtle0 is it just --stop that throws this error ?
btw: if you add --queue default to the command line I assume it will work, the thing is , without --queue it will look for any queue with the "default" tag on it, since there are none, we get the error.
regardless that should not happen with --stop I will make sure we fix it

Just so we do not forget, can you please open an issue on clearml-agent github ?

3 years ago

0 ..

Are these fields of ClearML Task?

correct

2 years ago

0 Hi, Guys! I’M Trying To Connect Clearml To My Task And Getting Strange Error: After

DepressedChimpanzee34
I might have an idea , based on the log you are getting LazyCompletionHelp in stead of str
Could it be you installed hyrda bash completion ?
https://github.com/facebookresearch/hydra/blob/3f74e8fced2ae62f2098b701e7fdabc1eed3cbb6/hydra/_internal/utils.py#L483

4 years ago

0 Hi, I Try To Run Locally

I wonder if I just need to join 2 docker-compose files to run everything in one session

Actually that could also work

But for reference, when I said IP i meant the actual host network IP not the 127.0.0.1 (which is the same as localhost)

3 years ago

0 Hi! Trying To Run The Following Very Basic Code. The First Few Parts Works As They Should:

with remote machine where the code actually runs (you know this pycharm pro remote).

Are you using the pycharm plugin ? (to sync the local git changes with clearml)
https://github.com/allegroai/clearml-pycharm-plugin

4 years ago

0 In My Requirement.Txt File I Have Modules Installed From The Same Repository, I.E., I Have Lines Such As:

Task.add_requirements does not handle it (traceback in the thread). Any suggestions?

Hmm that is a good point maybe we should fix that 🙂
I'm assuming someone already created this module? Or is it part of the repository?
(if it than the assume this executed from the git root)

3 years ago

0 In My Requirement.Txt File I Have Modules Installed From The Same Repository, I.E., I Have Lines Such As:

understood, can you try
Task.add_requirements("-e path/to/folder/")

3 years ago

0 Question Regarding Tensorboard (If There Is An Answer Here Already Please Send Me A Link). I Have A Few Graphs With The Same X Axis But Different Y Axis That Are Presented On Different Graphs In Tensorboard And For Some Reason Trains Joins Them On The Sam

BTW: CloudyHamster42 I think this issue was discussed on GitHub, and the final "verdict" was we should have an option to split/combine graphs on the UI side (i.e. similar to the "smoothing" or wall-time axis etc.)

5 years ago

0 Hello! I’M Currently Using Clearml-Server As An Artifact Manager And Clearml-Serving For Model Inference, With Each Running On Separate Hosts Using Docker Compose. I’Ve Successfully Deployed A Real-Time Inference Model In Clearml-Serving, Configured Withi

correct

one year ago

0 Hello Everyone, I'M Currently Trying Clearml-Serving To Serve A Model Via An Endpoint. I Followed The Tutorial In The Documentation, But When I Try A Request, I Get An Error. Here It Is: Curl -X Post "

Is it not possible to serve a model with preprocessing pipeline from scikit-learn using clearml-serving?

of course it is, did you first try the example , here: None
If you need to run your own LogisticRegression call you can use this example:
None
Notice this is where the custom endpoint actually calls the prediction: [None](https...

one year ago

0 Hi Guys, With The New Venv Caching Available In Clearml, I Have The Following Problem: I Force My Pip Requirements To Be:

Hmm I assume it is not running from the code directory...
(I'm still amazed it worked the first time)
Are you actually using "." ?

4 years ago

0 My Agent (Running On Gcp In Docker Mode) Is Having Trouble With Git Fetch --All. I'M Using Ssh For Authentication, However, Known_Hosts Doesn'T Seem To Be Passed To The Docker So It Prompts For Authentification/Fingerprint. Any Ideas?

Added -v /home/uname/.ssh:/root/.ssh and it resolved the issue. I assume this is some sort of a bug then?

That is supposed to be automatically mounted the SSH_AUTH_SOCK defined means that you have to add the mount to the SSH_AUTH_SOCK socket so that the container can access it.
Try to run when you undefine SSH_AUTH_SOCK and keep the force_git_ssh_protocol (no need to manually add the .ssh mount it will do that for you)

one year ago

0 Hello! Since Today I Get

Yes I think the difference is running conda install with arguments vs conda install with env file...

4 years ago

0 Hello! I Am Using Clearml Enterprise, And Want To Pass Env Vars With Environment Section In Configuration Vault So, In Logs Of Remote Task (Config Parsing Part) I Can See My Env Vars (Pics Related), But I Can'T Get Them Via

Nice! So out of curiosity why didn't it work this time and you had to do it manually?

one year ago

0 Also, Not Sure Where To Ask This Question. I Am Following The Instructions From Here:

Try to upload something to the file server ?
None

2 years ago

0 Hi, Is It Possible To Specify Per Experiment (Task In Clearml) Where The Results (Artifacts) Are Saved?

GreasyPenguin14 you mean the artifacts/models ?

4 years ago

0 Hello Guys! I Have A Little Question: My Metrics Quota Has Been Reached, And I Cannot Use The Platform Anymore.. I Have Already Removed Almost All Projects Some Days Ago But It Still Says The Same. Is There Anything I Can Do To Get Some Quota Again?

NastySeahorse61 it might that the frequency it tests the metric storage is only once a day (or maybe half a day), let me see if I can ask around
(just making sure you can still login to the platform?)

2 years ago

0 Hello Everyone! I'M Using S3 For My Model Saving. During Hyperparameter Optimization My New Tasks Get Very Long Names Due To Override Parameters And Uploading Path Becomes Something Like This "/Traffic Lights Classification/

This one?
https://stackoverflow.com/questions/6870824/what-is-the-maximum-length-of-a-filename-in-s3

3 years ago

0 Hey, I'M Probably Being Thick Here But I Would Like To Pull Some Data From A Database And Write It To A Particular Bucket In S3 Within A Task I'M Doing. I'M Using Task.Upload_Artifact But Can'T Understand Where I Write The Bucket Path.

It should have been:
output_uri="s3://company-clearml/artifacts/bethan/sales_journeys/artifacts/examples/load_artifacts.f0f4d1cd5eb54795b11508dd1e739145/artifacts/filename.csv.gz/filename.csv.gz

4 years ago

0 Hi Everyone, I Am Running A Pipeline Using The Autoscaler, I Am Able To Spin Up The Vm Instance Using The Autoscaler And The Docker Is Also Getting Installed In There Perfectly. The Issue I Am Facing Is That During Executing A Pipeline Task While Cloning

Try to add '--network host' to the docker args on the task you are launching

one year ago

0 Hello, I Want To Report A Confusion Matrix With The Values

I think this issue was fixed in clearml-server 1.3.0 (released after the weekend),
Let me check

3 years ago

0 Hello All, How Can I Access The Restful Api. Any Docs Available?

JuicyDog96 Yes please!
Let me check what's the status with the docs repository, and I'll get back to you soon 🙂

5 years ago

0 I’M Trying To Use

But these changes haven’t necessarily been merged into main. The correct behavior would be to use the forked repo.

So I would expect the agent to pull from your fork, is that correct? is that what you want to happen ?

4 years ago

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