I think latest:

clearml==1.17.0
matplotlib==3.6.2
shap==0.46.0

Python 3.10

think this is because of the version of xgboost that serving installs. How can I control these?

That might be

I absolutely need to pin the packages (incl main DS packages) I use.

you can basically change CLEARML_EXTRA_PYTHON_PACKAGES
https://github.com/allegroai/clearml-serving/blob/e09e6362147da84e042b3c615f167882a58b8ac7/docker/docker-compose-triton-gpu.yml#L100
for example:
export CLEARML_EXTRA_PYTHON_PACKAGES="xgboost==1.2.3 numpy==1.2.3"

Hi EnviousStarfish54
The Enterprise edition extends Trains functionality.
It adds security, scale and full data management (data management and versioning being the key difference)
You can get it as a saas solution or on prem.
If you need more information, you can leave contact details on the website, I'm sure sales will be happy to help :)

Could you send the full log please ?

If this is a simple two level nesting:
You can use the section name:
task.connect(param['data'], name='data') task.connect(param['model'], name='model')Would that help?
The comparison reflects the way the data is stored, in the configuration context. that means section name & key value (which is what the code above does)

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

Give me a minute

Okay let me check if we can reproduce, definitely not the way it is supposed to work 😞

'conda --version'

But I think this error has only appeared since I upgraded to version 1.1.4rc0

Hmm let me check something

Is there a way to force clearml not to upload these models?

DistressedGoat23 is it uploading models or registering them? to disable both set auto_connect_frameworks https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk#automatic-logging

Their name only contain the task name and some unique id so how can i know to which exact training

You mean the models or the experiments being created ?

The confusion matrix shows under debug sample, but the image is empty, is that correct?

SolidSealion72 this makes sense, clearml deletes artifacts/models after they are uploaded, so I have to assume these are torch internal files

Hi EnviousStarfish54
Color coding on the entire UI is stored per user (I think that on your local cookies, but I might be wrong). Anyhow any title/series combination will have the select color regardless of the project.
This way you can configure once that loss is red and accuracy is green, etc.

Nice!

AstonishingSeaturtle47 that's awesome! Could you explain the hack, it might be helpful for others (I assume :))

Yes the easiest is os.environ call before the import
Regarding azure blob

General azure env vars should work because it configure the underlying azure sdk, but I would double check

Generally speaking
Generic Override Format
ClearML allows you to override any config entry using this format:

bash
CLEARML__<section>__<key>=<value>
Double underscores __ separate the hierarchy levels.

All keys and values are treated as strings.

This works for nested entries in clearml.conf.

@<1541954607595393024:profile|BattyCrocodile47> first let me say I ❤ the dark theme you have going on there, we should definitly add that 🙂

When I run

python set_triggers.py; python basic_task.py

, they seem to execute, b

Seems like you forgot to start the trigger, i.e.
None
(this will cause the entire script of the trigger inc...

from your jupyterlab can you do:
!curl

Hi @<1610083503607648256:profile|DiminutiveToad80>
This sounds like the wrong container ? I think we need some more context here

ZanyPig66 is this reproducible? This sounds like a bug, whats the TB version and OS you rae using?
Is this example working for you (i.e. you see debug images)
https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_tensorboard.py

The address is valid. If i just go to the files server address on my browser,

@<1729309131241689088:profile|MistyFly99> what is the exact address of those files? (including the http prefix) and what is the address of the web application ?

Hi SmallDeer34
Can you see it in TB ? and if so where ?

JitteryCoyote63 any chance the trains-agent-1 is running in services mode ?
Which means it will spin more than a single experiment at once

Well from the error it seems there is no layer called "dense" , hence triton failing to find the layer returning the reult. Does that make sense?

Hmm is this similar to this one https://allegroai-trains.slack.com/archives/CTK20V944/p1597845996171600?thread_ts=1597845996.171600&cid=CTK20V944

So it should have detected 11.2...

Click on the Task it is running and abort it, it seems to be stuck, I guess this is why the others are not pulled

Hi JitteryCoyote63

Or even better: would it be possible to have a support for HTML files as artifacts?

If you report html files as debug media they will be previewed, as long as the link is accessible.
You can check this example:
https://github.com/allegroai/trains/blob/master/examples/reporting/html_reporting.py

In the artifacts, I think html are also supported (maybe not previewed as nicely but clickable.
Regrading the s3 link, I think you are supposed to get a popup window as...

I see... In the triton pod, when you run it, it should print the combined pbtxt. Can you print both before/after ones? so that we could compare ?