fp32 seems to be floating point 32 so my preprocessing seems wrong

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

What is the latest rc?

if i enqueue the script to the services queue but run_as_service is false, what happens?

web_server:

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

Monsieur Martin! 1.3.2

{"detail":"Error processing request: [Errno 2] No such file or directory: '~/.clearml'"}

where should I look for this folder?
I am talking about serving

nevermind! I have figured out my issue

Hi SuccessfulKoala55 I am having some issues with this. I have put a concurrency limit of 2 and I can see 3 workers running

api_server:

ok i think i know why it happens!

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.

https://www.comet.ml/docs/python-sdk/keras/

tagging @<1523701205467926528:profile|AgitatedDove14> here just in case 😅

yes, docker compose

sure, thanks!

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

https://allegro.ai/clearml/docs/rst/references/clearml_python_ref/dataset_module/dataset_dataset.html#clearml.Dataset.create

@<1523701205467926528:profile|AgitatedDove14> any ideas?

Ah, so you're saying I can write a callback for stuff like train_loss , val_loss , etc.

img.tofile('7.binaryimage',format='binary') can this be the issue?

any 7.6.2-x if I'm not wrong