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10 × Eureka!Thank you. AgitatedDove14 auto_connect_frameworks
worked nicely.
Oh. If the behavior is intentional, I think I must call it via subprocess.
Thanks for the answers. AgitatedDove14
Ah! sorry I just found the doc 😉
https://clear.ml/docs/latest/docs/pipelines/pipelines_sdk_function_decorators#running-the-pipeline
Good day AgitatedDove14
Thanks for the reply CostlyOstrich36
The local machine & agent machine has the same clearml.conf
. As I sad, storing something via StorageManager
has no problem on both side.
But PipelineDecorator.upload_model(model_name, model_path)
doesn't work on both side.
Thanks for the reply. Yes, I got the point.
Still, My problem is calling pipe.start()
crashes.
I want to run an API server that starts the pipeline on request, and I don't want it kills the API server.
Self-answering after digging into it.from os import environ environ['CLEARML_WEB_HOST'] = '
' environ['CLEARML_API_HOST'] = '
' environ['CLEARML_FILES_HOST'] = '
` '
environ['CLEARML_API_ACCESS_KEY'] = 'access_key'
environ['CLEARML_API_SECRET_KEY'] = 'secret_key'
from clearml import Task `
just one more question AgitatedDove14 .
How can I do the same thing to pipe.start_locally(run_pipeline_steps_locally=False)
with decorators?