Could you also provide the full log?

😞 let me verify

😄

Remove this from your startup script:

#!/bin/bash 

there is no need that, it actually "markes out" the entire thing

Working on it as we speak 🙂 probably a day worst case 2. This is quite strange and we are not sure where is the fault, as nothing in the code itself changed...

The file itslef is csv.gz compressed, it's actually sending from the file-server back that messes things
(you can test with output_uri=/tmp/folder )

Need - in my CI, the url used is https but I need the ssh url to be used. I see that we can pass repo to Task.create but not Task.init

Are you cloning an existing Task, or creating a new one ?

Hi @<1526371965655322624:profile|NuttyCamel41>

. I do that because I do not know how to get the pickle file into the docker container

What would the pickle file do?

and load the MinMaxScaler within the script, as the sklearn dependency is missing

what do you mean by that? are you getting an error when loading your model ?

Maybe we should rename it?! it actually creates a Task but will not auto connect it...

ohh that's why 🙂

Is this you case?

Glad to hear! 🎉

Hi RipeAnt6

What would be the best way to add another model from another project say C to the same triton server serving the previous model?

You can add multiple call to cleaml-serving , each one with a new endpoint and a new project/model to watch, then when you launch it it will setup all endpoints on a single Triton server (the model optimization loading is taken care by Triton anyhow)

Could you verify the Task.init call is inside the main function and Not the global scope? We have noticed some issues with global scope calls in some cases

Hmm what's the clearml version? Whats the python version, whats the OS? And pytorch version?

might be my folder permissions hmm

That actually makes sense, also notice that if you are running under a diff user, the ~ (home folder) is different

https://stackoverflow.com/questions/60860121/plotly-how-to-make-an-annotated-confusion-matrix-using-a-heatmap
MagnificentSeaurchin79 see plotly example here:
https://allegro.ai/clearml/docs/docs/examples/reporting/plotly_reporting.html

When you login with user/pass in the UI the same "process" happens and you get a Token to work with, this is the same as secret/key
Since in both cases you provide credentials and get back access token, it should work
(This is of course only if you are setting user/pass manually and disabling pass_hashed as you have)

Hi @<1643060801088524288:profile|HarebrainedOstrich43>
I think I understand what's going on, in order for the pipeline logic to be "aware" of the pipeline component, it needs to be declared in the pipeline logic script file (or scope if you will).
Try to import from src.testagentcomponent import step_one also in the global pipeline script (not just inside the function)

Hmm interesting, is it a drop in replacement to poetry ?

SmugDog62 so on plain vanilla Jupyter/lab everything seems to work.
What do you think is different in your setup ?

Yes including this. (There was a fix to an issue with trains-agent and disabling frameworks, it is already part of 0.16.3 )

SmarmySeaurchin8 regarding the original question:
task.set_project(project_id)Task.get_projects() to get all the project names/ids

In theory task.tags.remove(tag) might also work, but I'm not sure of it will automatically be updated on the backend

🙂

EnviousStarfish54 generally speaking the hyper parameters are flat key/value pairs. you can have as many sections as you like, but inside each section, key/value pairs. If you pass a nested dict, it will be stored as path/to/key:value (as you witnessed).
If you need to store a more complicated configuration dict (nesting, lists etc), use the connect_configuration, it will convert your dict to text (in HOCON format) and store that.
In both cases you can edit the configuration and then when ru...

Where can I find information about that? I'd love to join!

This awesome , we have a few things in mind that we would love to improve. Do you have a lot of experience working with Trains? If you do, what would be most appealing for you ?

This only talks about bugs reporting and enhancement suggestions

I'll make sure this is fixed 🙂

We might need to change the default base docker image, but I remember it was there... Let me check again

well cudnn is actually missing from the base image...