JitteryOwl13
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Active since 12 March 2024
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9 months ago
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11 × Eureka!Hi, I’m trying to integrate Logger in my PipelineDecorator but I’m getting this error - TypeError: cannot pickle '_thread.RLock' object
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
@PipelineDecorator.pipeline(name='Pipeline_Trail', project='Pipeline_Trail', version='0.1')
def main():
_args = params.parse_args()
setup_logger = init_experiment(_args)
data = load_dataset(_args, setup_logger)
train_model(_args, data, setup_logger)
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
Thanks for the response, I tried to creat Logger.current_logger in each step but I got -
RuntimeError: can't create new thread at interpreter shutdown
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
Hi @<1523701435869433856:profile|SmugDolphin23> , yes since I want to use it next steps
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
the first step init Logger and return it object
Logger.current_logger()
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
I’m getting error although logger_setup not calling ClearML logger, it’s just an inner class we use. cam we pass object between steps? (our objects) @<1523701070390366208:profile|CostlyOstrich36> @<1523701435869433856:profile|SmugDolphin23>
ValueError: Could not retrieve a local copy of artifact setup_logger
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
util class that write logs to txt file and holds the paths for data,model etc. @<1523701435869433856:profile|SmugDolphin23>
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
How can we send objet from step1 to step2 without creating it again?
9 months ago
0
Hi, I’M Trying To Integrate Logger In My Pipelinedecorator But I’M Getting This Error -
ClearML results page:
step 1
ClearML Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoring
Traceback (most recent call last):
File "/var/folders/1c/vz6m8k653j1_xpmpfgynshc00000gn/T/tmp4myzvumt.py", line 61, in <module>
task.upload_artifact(
File "/Users/almoghitelman/.pyenv/versions/sunbit-ai-312/lib/python3.12/site-packages/clearml/task.py", line 2341, in upload_artifact
raise exception_to_raise
File "/Users/almoghitelman/.pyenv/ve...
9 months ago
0
Hi
No I want to put them inside the pipeline.py file where I config all steps, like this:
from clearml import PipelineDecorator
from train_helpers.common import params
from dataset import DataModule
from train import Trainer
@PipelineDecorator.component(return_values=['_args'], cache=True)
def init_experiment():
_args = params.parse_args()
return _args
@PipelineDecorator.component(return_values=['data'], cache=False)
def data_preparation(args):
data = DataModule(args)
r...
9 months ago
9 months ago