Let me give it a try.

As I wrap my head around that, in terms of the example given in the repo, can you tell me what the serving example is in terms of the explanation above and what the triton serving engine is, in context to the above explanation

Thank you, this is a big help. I'll give this a go now.

Also, do I have to manually keep track of dataset versions in a separate database? Or am I provided that as well in ClearML?

AnxiousSeal95 Basically its a function step return. if I do, artifacts.keys(), there are no keys, even though the step prior to it does return the output

I'm assuming the triton serving engine is running on the serving queue in my case. Is the serving example also running on the serving queue or is it running on the services queue? And lastly, I don't have a clearml agent listening to the services queue, does clearml do this on its own?

Also, the steps say that I should run the serving process on the default queue but I've run it on a queue I created called a serving queue and have an agent listening for it.

My draft is View Only but the cloned toy task one is in normal Draft mode.

It'll be labeled in the folder I'm watching it.

I'm getting this error.

clearml_agent: ERROR: Failed cloning repository.

1. Make sure you pushed the requested commit:
2. Check if remote worker has valid credentials

That but also in proper directory on the File System

Also my execution just completed and as of yet, I can only see the hyperparameters as a report. not in a configurable form. I've just started with ClearML and am having these issues.

Its a simple DAG pipeline.
I have a step, at which I want to run a task which finds the model I need.

is this the correct way to upload an artifact?

checkpoint.split('.')[0] is the name that I want it assigned and the second argument is the path to the file.

Yeah

I'll take a look thank you

os.listdir(location) shows nothing

Thanks, I went through it and this seems easy

I'll look into it. Thank you everyone.

AnxiousSeal95 I just have a question, can you share an example of accessing an artifact of a previous step in the pre execute callback?

However when i'll reset or clone the task, now it won't just accept the default value but clearml will pass the arg directly

I know how to enqueue in using the UI. I'm trying to do it programatically.

AgitatedDove14 Can you help me with this? Maybe something like storing the returned values or something in a variable outside the pipeline?

only issue is even though it's a bool, it's stored as "False" since clearml stores the args as strings.

I want to serve using Nvidia Triton for now.

after creating, I tried adding batch to it and got this error

There's a whole task bar on the left in the server. I only get this page when i use the ip 0.0.0.0

when you connect to the server properly, you're able to see the dashboard like this with menu options on the side.

I feel like they need to add this in the documentation 😕

My use case is basically if I want to now access this dataset from somewhere else, shouldn't I be able to do so using its id?