Hello everyone! I am relatively new to ClearML and to the *-Ops concepts at all, as I am but a regular python dev. I am currently trying to implement MLOps i...
one month ago
PungentRobin32
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Hello Everyone!
I Am Relatively New To Clearml And To The *-Ops Concepts At All, As I Am But A Regular Python Dev.
I Am Currently Trying To Implement Mlops Into Our Existing Local Infrastructure, So That We Would Be Able To Utilize Automated Data Preproc
Here's the simplified diagram of the architecture:
one month ago
0
Hello Everyone!
I Am Relatively New To Clearml And To The *-Ops Concepts At All, As I Am But A Regular Python Dev.
I Am Currently Trying To Implement Mlops Into Our Existing Local Infrastructure, So That We Would Be Able To Utilize Automated Data Preproc
Hi @<1523701087100473344:profile|SuccessfulKoala55> , thank you for the reply!
Yes, I am talking about clearml-serving.
I will be near my pc in nearest couple of hours and will send the list of commands as well as a visual scheme of an architecture. :)
one month ago
0
Hello Everyone!
I Am Relatively New To Clearml And To The *-Ops Concepts At All, As I Am But A Regular Python Dev.
I Am Currently Trying To Implement Mlops Into Our Existing Local Infrastructure, So That We Would Be Able To Utilize Automated Data Preproc
@<1523701087100473344:profile|SuccessfulKoala55> Thank you once again, I extracted the scripts and commands, that seemingly were responsible for model registration and its inference on GPU worker server:
register_model.py
from clearml import Task, OutputModel
task = Task.init(project_name="LogSentinel", task_name="Model Registration")
model_path = "~/<full_local_path_to_model>/deeplog_bestloss.pth"
# Register the model
output_model = OutputModel(task=task)
output_model....
one month ago