WickedGoat98 Basically you have two options:
Build a docker image with wget installed, then in the UI specify this image as "Base Docker Image" Configure the trains.conf file on the machine running the trains-agent, with the above script. This will cause trains-agent to install wget on any container it is running, so it is available for you to use (saving you the trouble of building your own container).With any of these two, by the time your code is executed, wget is installed an...

Hi all! Does anyone know a solution to my issue with deploying models saved on azure on the clearml-serving docker container?

Hi NuttyCamel41
The easiest is to map the clearml.conf to both the serving and triton containers in your docker-compose.yaml (or k8s secrets) and make sure the conf file has the credentials to access the azure blob. wdyt ?

Hi SmoggyGoat53
What do you mean by "feature store" ? (These days the definition is quite broad, hence my question)

SoggyFrog26 there is a full pythonic interface, why don't you use this one instead, much cleaner 🙂

No worries, it's always good to know what can be built later.
I would start with a static .env file (i.e. the same for everyone), or start with hacking the python code to load the .env at the beginning 🤞

DepressedChimpanzee34 <character> will almost always be converted into \ because otherwise it will not support \t or \n etc.
What I'm looking here is some logic that will allow us not to break backwards compatibility on the one hand, but still will allow you to have something like "first\second" entry.
WDYT? any ideas? (I really want to make sure we fix it as soon as possible)

Sorry found the code on the Task, duh 🙂
` # get_ipython().magic('pip install clearml')
import clearml
from clearml import Task
task = Task.init(project_name='examples', task_name='test param', reuse_last_task_id=False)
param = {
'tuple_double_quotes_r': (r"value\blah", 1),
'tuple_double_quotes': ("value\blah", 1),
'tuple_single_quotes': ('value\blah', 1),
"double_quotes_r": r"value\blah",
'double_quotes': "value\blah",
'single_quotes': 'value\blah'
...

this topic is about the issue with reporting a configuration with a string inside a tuple that has backslash

So the encoding itself is done YAML style, and based on your example \b Has to be encoded to \b because this is string encoding, like \n will become "new line"
Make sense ?

Nice!!!

I can share some code

Please do 🙂

HandsomeCrow5
client.events.debug_images(metrics=[dict(task='6adb929f66d14731bc76e3493ab89d80', metric='image')])

If the right properties are set can the profile tab be added?

I guess that is doable, that said some of the graphs are not straight forward to support like this one:
https://www.tensorflow.org/guide/images/tf_profiler/trace_viewer.png

Follow-up question: how does clearML "inject" the argparse arguments before the task is initialized?

it patches the actual parse_args call, to make sure it works you just need to make sure it was imported before the actual call takes place

I had to do another workaround since when

torch.distributed.run

called it's

ArgumentParser

, it was getting the arguments from my script (and from my task) instead of the ones I passed it

Are you saying...

Yes this is exactly the solution!
Nice 🎊 !

Hi @<1581454875005292544:profile|SuccessfulOtter28>

Why would you archive an experiment?

Because you do not want to see it any longer (i.e. not very important) but you do not want to loose the ability to later do some forensics and look into it (meaning you do not want to completely delete it)
does that make sense ?

I'm not able to compare the tables of two experiments, is it a known issue ?

How so? they should appear one next to the other, the content of the two tables is not "really" compared, the standard is too complicated 😞 (apparently this is far from trivial)

Basically try with the latest RC 🙂
pip install trains 0.15.2rc0

RobustSnake79 let's assume that the trace figure above is probably too much to get into the WebUI, which simple figures might still have value in your scenario ?

Hi

, It works if I dont specify the project name and just give the task name

But now it searches for it globally , which is not very stable:

Let me check why it fails to find the project...

RobustSnake79 I have not tested, but I suspect that currently all the reports will stay in TB and not passed automagically into ClearML
It seems like something you would actually want to do with TB (i.e. drill into the graphs etc.) no?

It should preserve the order as the order of the update back (i.e. when executed by the agent) is the same as the order of the keys (obviously py3.7+ becuase it creates dict not Ordered Dicts)

metric=image is the name in the dropdown of the denugimages

BTW:
str('\.') Out[4]: '\\.' str(('\.', )) Out[5]: "('\\\\.',)"This is just python str casting

Each user creates a 

.env

 file for their needs or exports them in the shell running the python code. Currently I copy the environment variables to an S3 bucket and download it from there

That is a great hack, but who carries the credentials for the S3 bucket? the reason for asking is I;m thinking maybe the code would directly do that (meaning download the .env file and apply them?!)

Okay, I'll pass to front-end, see what they can do about it.

Hi ReassuredTiger98
Good point, since the user actually "running" the code is the agent, all the api calls are registered under its name, including the Model creation.
This is a good point, though ...
I know the enterprise tiers add "impersonate" as part of the security layer, meaning that the agent is Not actually running the code but the creating "user" is, which solve this problem. I'm not sure what actually can be done without this feature... thoughts?

Okay verified, it won't work with the demo server. give me a minute 🙂

Hmm DepressedChimpanzee34 my bad it seems the loading is done via YAML loader, but the dumping is straight forward str casting...
https://github.com/allegroai/clearml/blob/6e6271fb91f2aeb2aa7a13c6d07d4e635baaa670/clearml/backend_interface/task/task.py#L934
What would you expect to get (BTW "value\blah" is Not a valid string assignment in python as there is no \b escape character, it should be "value\blah" which translates into the text "value\blah")

to get all the image metrics:
client.events.get_task_metrics(tasks=['6adb929f66d14731bc76e3493ab89d80'], event_type='training_debug_image')

is the base Task a file or a notebook ?