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FancyWhale93
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7 Questions, 10 Answers
  Active since 10 January 2023
  Last activity 4 months ago

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10 × Eureka!
0 Votes
1 Answers
918 Views
0 Votes 1 Answers 918 Views
Hello, I'm trying to get the pipeline progress, but I can't get it properly. I've set the progress via current_task.set_progress() in the pipeline after each...
2 years ago
0 Votes
6 Answers
1K Views
0 Votes 6 Answers 1K Views
Hello! I have a problem with tutorial client code crashes on starting pipelines remotely via pipe.start() . (have no problem running it locally with pipe.sta...
2 years ago
0 Votes
4 Answers
954 Views
0 Votes 4 Answers 954 Views
Hi. Here's a question for uploading models. calling PipelineDecorator.upload_model(model_name, model_path) in a pipeline component logs clearml.model - INFO ...
2 years ago
0 Votes
2 Answers
942 Views
0 Votes 2 Answers 942 Views
Hello, I'm running a ML training using PipelineDecorator . And It seems to be logging every model update (each epoch til over 100). The time for uploading th...
2 years ago
0 Votes
1 Answers
866 Views
0 Votes 1 Answers 866 Views
Hello 🙂 I have multiple clearml server and I want to switch the sdk config( api_server , web_server etc) without modifying the ~/.clearml.conf every time. M...
2 years ago
0 Votes
1 Answers
975 Views
0 Votes 1 Answers 975 Views
Hello all, I want to know created time for the task, and I'm getting it by the code task.data.created . But I'm worried about using it as it is not officiall...
2 years ago
0 Votes
3 Answers
332 Views
0 Votes 3 Answers 332 Views
Hi. here's a question. I wrote a code below for pipeline, ret = np.asarray(tlbr).copy() if ret.shape == (4,): ret[2:] -= ret[:2] else: ret[:, 2:] -= ret[:, :...
4 months ago
0 Hello, I'M Running A Ml Training Using

Thank you. AgitatedDove14 auto_connect_frameworks worked nicely.

2 years ago
0 Hi. Here'S A Question For

Great! setting the default_output_uri worked!
Thank you.

2 years ago
0 Hello! I Have A Problem With Tutorial Client Code Crashes On Starting Pipelines Remotely Via

Oh. If the behavior is intentional, I think I must call it via subprocess.
Thanks for the answers. AgitatedDove14

2 years ago
0 Hi. Here'S A Question For

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.

2 years ago
0 Hello! I Have A Problem With Tutorial Client Code Crashes On Starting Pipelines Remotely Via

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.

2 years ago
0 Hello

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 `

2 years ago
0 Hello! I Have A Problem With Tutorial Client Code Crashes On Starting Pipelines Remotely Via

just one more question AgitatedDove14 .
How can I do the same thing to pipe.start_locally(run_pipeline_steps_locally=False) with decorators?

2 years ago