Hi @<1533257278776414208:profile|SuperiorCockroach75> , can you please expand on what you mean / expecting? I'm not sure I understand your issue
Strange. Can you add your clearml.conf from the agent machine? Please make sure to obscure all secrets 🙂
Hi @<1523701092473376768:profile|SuperiorPanda77> , I think a PR would always be appreciated. I don't see any issues with using task.reset()
VexedCat68 , correct. But not only arg parse. The entire configuration section 🙂
Hi @<1695969549783928832:profile|ObedientTurkey46> , this is supported in the Scale/Enterprise licensees of ClearML (external IdP support). API access is always done using credentials.
VexedCat68 , do you mean does it track which version was fetched or does it track everytime a version is fetched?
Hi @<1543766544847212544:profile|SorePelican79> , can you provide a sample of how this looks? The suggested method is the one in the examples:
None
Hi @<1799974757064511488:profile|ResponsivePeacock56> , in that case I think you would need to actually migrate the files from files server to S3 and then also change the links logged in MongoDB associated to the artifacts.
Hi ScantCrab97 , please update it it worked 🙂
Then you can define the git credentials that can clone these repositories
Hi @<1523702786867335168:profile|AdventurousButterfly15> , are the models logged in the artifacts section?
Hi ElegantCoyote26 , looks like connectivity issue. Are you running a self hosted server?
Hi @<1547028131527790592:profile|PleasantOtter67> , nothing out of the box. You can however quite easily extract all that information and inject it into a csv programmatically.
I think the bigger question is how would you break it down? Each experiment has several nested properties.
Or you're thinking only of the current view as it is?
I think the call tasks.get_all
should have you covered to extract all information you would need.
None
The request body should look something like this:
{
"id": [],
"scroll_id": "b77a32d585604b098f685b00f30ba2c2",
"refresh_scroll": true,
"size": 15,
"order_by": [
"-last_update"
],
"type": [
"__$not",
"annotation_manual",
"__$not",
"annotation",
"__$not",
"dataset_i...
Hi @<1523702496097210368:profile|ScantChimpanzee51> , I think you need to be connected to the GS account on the same machine
AbruptCow41 , you can already do this, just add the entire folder 🙂
Hi 🙂
Regarding the input issue - Try defining in your ~/clearml.conf
the following: sdk.development.default_output_uri
to wherever you want it uploaded. I'm guessing that when you're running the original input model is created through the script and downloaded?
Regarding tagging - I think you need to connect tags individually to output models if you wanna connect it only to outputs
Hi @<1586890686492315648:profile|HugeSeagull85> , are you using a self hosted or the community server?
Is it hosted by you or is it app.clear.ml ?
The communication is done via HTTPS so relevant ports should be open.
Did you try with a hotspot connection from your phone?
Then indeed it looks like a network/provider issue
Hi @<1523707653782507520:profile|MelancholyElk85> , in Task.init()
you have the auto_connect_frameworks
Parameter.
There is no natural way to expose single files in Datasets. However it looks like you found an appropriate workaround 🙂
Hi EcstaticMouse10 , what was your previous version?
Also, what if you try to specify id's instead of names?
Hi @<1797075640948625408:profile|MotionlessSeagull29> , you can get it with the following:
from clearml import Dataset
ds = Dataset.get(dataset_id="<SOME_ID>")
print(ds.project)
You can always use
dir(<PYTHON_OBJECT>)
to see it's different attributes/methods
So when you do torch.save()
it doesn't save the model?
Slow network or network died all of a sudden - you wouldn't want your experiments to fail just because there is a network issue. Once network is restored - everything is sent as it should be to the backend. This is the resilience I was talking about
Regarding mistake in URL - I guess it is your responsibility to keep track of not using wrong URLs. As I said before - How would you suggest the SDK know what is the 'right' URL and what is the 'wrong'...
Hi @<1578555761724755968:profile|GrievingKoala83> , I'm afraid that's an Enterprise/Scale only feature