Ok thanks, that worked.

To note, the latest codes have been pushed to the Gitlab repo.

Yes, as listed in the snippet. The torch library is torchvision.

Hi, the problem is the same.

I noticed that its not checking out the latest version in gitlab. This latest version would contain the requirements.txt.
Using cached repository in "/root/.clearml/vcs-cache/pytorchmnist.f220373e7227ec760b28c7f4cd99b534/pytorchmnist" warning: redirecting to Note: checking out 'cfb833bcc70f3e10d3b6a96cfad3225ed682382b'.But i'm guessing this block below applied the diff..does it include the requirements.txt though?
` HEAD is now at cfb833b Upload New Fil...

Ok that worked. So every time i have changes in codes, i will have to rerun the experiment on my own machine that doesn't have any GPUs?

Kinda defeat the purpose of using ClearML Agent.

Yes of cos, its a long one.

Yes I am.

It also stopped taking in tasks from the queue after that.

Having same issues. Looks like Google DNS can't resolve the DNS at all.
` %nslookup app.clear.ml - 8.8.8.8
Server: 8.8.8.8
Address: 8.8.8.8#53

** server can't find app.clear.ml: SERVFAIL `

It didn't work as expected.
` task init
task report iter 10

task init
task report iter 10

The second task pushed the reporting iteration to 20 instead. `

The doc also mentioned preconfigured services with selectors in the form of
"ai.allegro.agent.serial=pod-<number>" and a targetPort of 10022. Would you have any examples of how to do this?

Yeah that'll cover the first two points, but I don't see how it'll end up as a dataset catalogue as advertised.

Hi. If we disable the API service, how will it affect the system? How do we disable?

Thanks. Have a better understanding now.

For example, it would useful to integrate https://github.com/whylabs/whylogs#features into ClearML as part of data and model monitoring. WhyLogs would have their own static page that would preferably be displayed as a new custom tab (besides logs, scalars and plots.).

Thanks SuccessfulKoala55 . I can try my hand on a patch. But the pod spinning is handled by the k8s glue, which has no link to the client side. How should the client pass the key over to k8s glue during runtime via clearml server?

Ok that works. thanks.

Hi. Anything that can point to activity by user.

Transform feature engineering and data processing code into recurring data ingestion workflows. Start building data stores, develop, automate, and schedule complex data processing jobs.

Hi, i'm gonna hijack this thread a bit. My community uses ClearML and is looking at various model deployment strategies. We are looking at a seamless integration with Triton but noted they Triton does not support deployment strategies. ClearML-Serving seems to but the strategies are rather limited. Is there a roadmap to expand Clearml-serving?

Thanks. That's easy to miss as its not quite apparent in the main docs. How should i pass in env variables with Task?

Thanks this would be a good alternative before the enterprise version comes in. How is this different from argparser btw?

Ok thanks. that explains alot. We have been doing this wrongly the whole time, thinking that the clearml.conf on the client side would be acknowledged by the remote agent execution. In reality, only the API section is utilised.

ok thanks. this would mean that increasing the disk space for my ClearML is the only option as we are not at liberty to delete.

ah ok, so if i see Jax's workspace on https://app.community.clear.ml/dashboard , then i'm on the right track? How regular does this reset then?

That didn't work as well...

Ok, that seems clearer, thanks.

ah thanks. Hopefully the old ones get flushed out by Google soon.

And any roadmap on this? The organisation's on ssh auth is firm. This can end up not possible to use ClearML for remote execution.

I've been reading the documentation for a while and I'm not getting the following very well.
Given an open source codes say, huggingface. I wanted to do some training and i wanted to track my experiments using ClearML. The obvious choice would be to use Explicit Reporting in ClearML. But the part on sending my training job. and let ClearML orchestrate is vague. Would appreciate if i can be guided to the right documentation on this.