Hmmmm, fair point.

I just want to make sure that the file itself is valid first 🙂

Can you try with full path and not relative?

BTW - did the agent print out anything? Which version of clearml-agent are you using?

Hi @<1600661428556009472:profile|HighCoyote66> , ClearML Agent will try to find the python version dynamically and then revert to most basic one it can find. My suggestion is to run everything in docker mode ( --docker ) so the python version can be set by the docker

What do you get when you call get_configuration_objects() now?

Because that seems to be connected to data

Do you mean reporting scalars with tensorflow OR having the reported tensorflow scalars show up on ClearML?

AgitatedDove41 Hi!

If I understand correctly you would like to run the training on AWS?

I see the issue. SuccessfulKoala55 , what do you think?

Hi JitteryCoyote63 , I don't believe this is possible. Might want to open a GitHub feature request for this.

I'm curious, what is the use case? Why not use some default python docker image as default on agent level and then when you need a specific image put into the experiment configuration?

Hi @<1535069219354316800:profile|PerplexedRaccoon19> , not sure I understand what you mean, can you please elaborate on what you mean by doing the evaluations within ClearML?

Hi, do you mean out of the box virtualization of your gpu or using virtual gpus on the machine?

DepressedChimpanzee34 which section are you referring to, can you provide a screenshot of what you mean?

I think that something like that exists, it appears to be done in the paid version called hyper-datasets. The documentation is open for all apparently 🙂

https://clear.ml/docs/latest/docs/hyperdatasets/overview

BoredBat47 , can you add the logs?

Hi @<1590514584836378624:profile|AmiableSeaturtle81> , the reason for this is because each file is hashed and this is how the feature compares between versions. If you're looking to keep track of specific links then the HyperDatasets might be what you're looking for - None

Seems stuck. Can you try restarting the agent? Also how did you run the agent?

Hi @<1586890686492315648:profile|HugeSeagull85> , are you using a self hosted or the community server?

Can you add the errors you had?

Can you verify you ~/.clearml.conf has proper configuration. If you do
from clearml import Task t=Task.init()Does this work?

I see, thanks for the input!

You can open developer tools (F12) and see in the UI what is happening when you create a new queue 🙂

Can you please add the full log of the execution?

Hi @<1797800418953138176:profile|ScrawnyCrocodile51> , not sure I understand. You have some model ID and you want to find it's project? Via code or UI?

Have you played with the env variables?

Hi BroadSeaturtle49 , what versions of clearml-agent & clearml are you using? What OS is this?

Hi @<1576381444509405184:profile|ManiacalLizard2> , is there a specific reason you're running the agent inside a docker container instead of running the agent in docker mode which would make it spin up a container?

Click on step_one and on Full details

Hi @<1567321739677929472:profile|StoutGorilla30> , this is a good question. I would assume that the CLI tool uses API calls under the hood. I think you can either look at the code and see what is being sent or simply do CLI commands from the code