![Profile picture](https://clearml-web-assets.s3.amazonaws.com/scoold/avatars/ElegantCoyote26.png)
Reputation
Badges 1
125 × Eureka!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....
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.
Yeah, I simply used a different port but I got this output:
` (prediction_module) emilio@unicorn:~/clearml-serving$ docker run -v ~/clearml.conf:/root/clearml.conf -p 9501:9501 -e CLEARML_SERVING_TASK_ID=7ce187d2218048e68fc594fa49db0051 -e CLEARML_SERVING_POLL_FREQ=5 clearml-serving-inference:latest
CLEARML_SERVING_TASK_ID=7ce187d2218048e68fc594fa49db0051
CLEARML_SERVING_PORT=
CLEARML_USE_GUNICORN=
EXTRA_PYTHON_PACKAGES=
CLEARML_SERVING_NUM_PROCESS=
CLEARML_SERVING_POLL_FREQ=5
CLEARML_DEFAULT...
And this is what I get with the curl inference example on the README.md(prediction_module) emilio@unicorn:~/clearml-serving$ curl -X POST "
` " -H "accept: application/json" -H "Content-Type: application/json" -d '{"x0": 1, "x1": 2}'
<html> <head><title>405 Not Allowed</title></head> <body> <center><h1>405 Not Allowed</h1></center> <hr><center>nginx/1.20.1</center> </body> </html> `
So it still looks like it's using port 8080? I'm not really sure
I can do curl
http://localhost:8080 but it's a remote server so unless I do X forwarding I can't browse it
i expected to see 2 tasks running, and then when completed the remaining 2 could start. Is this not the expected behavior?
Not sure why it tries to establish some http connection, or why it's /
...
Same thing SuccessfulKoala55 😞
"this means the elasticsearch feature set remains the same. and JDK versions are usually drop-in replacements when on the same feature level (ex. 1.13.0_2 can be replaced by 1.13.2)"