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125 × Eureka!But where do you manually set the name of each task in this code? the .component
has a name
argument you can provide
can you elaborate a bit on the token side? i'm not sure exactly what would be a bad practice here
if i enqueue the script to the services
queue but run_as_service
is false, what happens?
Absolutely, I could try but I'm not sure what it entails...
I think it's still caching environments... I keep deleting the caches (pip, vcs, venvs-*) and running an experiment. it re-creates all these folders and even prints
Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests>=2.20.0->clearml==1.6.4->prediction-service-utilities==0.1.0) (3.4)
Requirement already satisfied: charset-normalizer<4,>=2 in /root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages (from requests>=2.20.0->clearml==1.6....
@<1523701087100473344:profile|SuccessfulKoala55> hey Jake, how do i check how many envs it caches? doing ls -la .clearml/venvs-cache
gives me two folders
instead of, say, the binary the task was launched with
Hi SuccessfulKoala55 I am having some issues with this. I have put a concurrency limit of 2 and I can see 3 workers running
This is a minimal comet example. I'm afraid I don't know what it does under the hood.. There are no callbacks on the metrics tracked in model.fit
and yet if you check out your project in the website, your training and validation losses are tracked automatically, live.
tagging @<1523701205467926528:profile|AgitatedDove14> here just in case 😅
Hey AgitatedDove14 , thanks for the answer. What does that mean? In any case I think it would be a nice to have feature.
clearml-agent 1.2.3
i'm probably sending the request all wrong + i'm not sure how the model expects the input
If 3e5962dd
is the commit it's trying to clone, it doesn't exist because I deleted it.
it should be cloning a more up-to-date version of the repository
Ah, so you're saying I can write a callback for stuff like train_loss
, val_loss
, etc.