hey OutrageousSheep60
what about the process ? there must be one clearml-agent process that runs somwhere, and that is why it can continue reporting to the server

Hey Igor
I am not the expert about this topic. I have someone who better knows the topic that is coming back to you straight after his meeting. 🙂

can you do docker ps to check if there are running containers that already bind the port ?

can you please provide the apiserver log and the elasticsearch log?

Hey TartSeagull57
We have released a version that fixes the bug. It is a RC but it is stable. Version number is 1.4.2rc1

hey
"when cloning an experiment via the WebUI, shouldn't the cloned experiment have the original experiment as a parent? It seems to be empty"

you are right, i think there is a bug here. We will release a fix asap 🙂

hey WickedElephant66 TenderCoyote78
I'm working on a solution, just hold on, I update you asap

It depend if you have added the parameter monitor_models=['mymodel'] in the PipelineDecorator.component. If not, the model will not be logged. If you have, then torch.save will save your model to a local path, that will be logged into the main pipeline task

JuicyFox94

can you try again after having upgraded to 3.6.2 ?

hey Maximilian,
which version of clearml are you using ?

Last (very) little thing : could you please open a Github issue for this irrelevant warning 🙏 ? It makes sense to register on GH those bugs, because our code and releases are hosted there.
Thank you !
http://github.com/allegroai/clearml/issues

however the model is saved in the step task - this is what i am trying to figure out

Just to keep you updated, as promised 🙂
we have found the bug and will release a fix asap. for that too i will keep you updated 🙂

i am not sure i get you here.
when pip installing clearml-agent, it doesnt fire any agent. the procedure is that after having installed the package, if there isnt any config file, you do clearml-agent init and you enter the credentials, which are stored in clearml.conf. If there is a conf file, you simply edit it and manually enter the credentials. so i dont understand what you mean by "remove it"

btw can you screenshot your clearml-agent list and UI please ?

Of course. Here it is
https://github.com/allegroai/clearml/issues/684
I'll keep you updated

Hi EnormousWorm79

The Pycharm testrunner wraps the script into a local cript, and thats what you are getting.
(jb pytest runner). Because it is local, you lose the source info

Let me check if I have a workaround or solution for you. I keep you updated

Hi,
We are going to try to reproduce this issue and will update you asap

With pleasures ! Hope that will help

Hey Atalya 🙂

Thanks for your feedback. This is indeed a good feature to think asbout.
So far there is no other ordering than the alphabetical. Could you please create a feature request on github ?

Thanks

Hi Max
you can configure a clearml agent to pull your docker image from ECR and run the experiment into it. Is that answering your question ?

btw here is the content of the imported file:

import torch
from torchvision import datasets, transforms
import os
MY_GLOBAL_VAR = 32

def my_dataloder ():
return torch.utils.data.DataLoader(
datasets.MNIST(os.path.join('./', 'data'), train=True, download=True,
transform=transforms.Compose([
transforms.ToTensor()
` ...

I check that
Concerning the snippet example, here is the link :
https://github.com/allegroai/clearml/issues/682

Hi Alon
This is indeed a known bug, we are currently working on a fix.

Hi BeefyHippopotamus73
did you managed to get rid of your issue ?

Hey UnevenDolphin73
Is there any particular reason why not to create the dataset ? I mean, you need to use it in different tasks, so it could make sense to create it , for it to exist on its own, and then to use it at will in any task, by simply retrieving its id (using Dataset.get)
Makes sense ?

hi TenderCoyote78
can you please give some more precision about what you intend to achieve ? I am afraid not to well understand your question

can you share with me an example or part from your code ? I might miss something in wht you intend to achieve

can you share your logs ?