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Answered
I Am Using Pipeline From Decorators. In The Pipeline, There Is A Training Step That Returns A Model (I Want This Model To Also Be Uploaded As An Artifact On Clearml). But This Results In The Following Error:

I am using pipeline from decorators. In the pipeline, there is a training step that returns a model (I want this model to also be uploaded as an artifact on clearml). But this results in the following error:
Traceback (most recent call last):
File "/tmp/tmpl17srkeg.py", line 237, in <module>
task.upload_artifact(
File ".../.local/lib/python3.10/site-packages/clearml/task.py", line 1982, in upload_artifact
raise exception_to_raise
File ".../.local/lib/python3.10/site-packages/clearml/task.py", line 1963, in upload_artifact
if self._artifacts_manager.upload_artifact(
File ".../.local/lib/python3.10/site-packages/clearml/binding/artifacts.py", line 744, in upload_artifact
pickle.dump(artifact_object, f)
AttributeError: Can't pickle local object 'main_clf_training.<locals>.lstm_embedding_model'

Note: This occurs only when using pipelines

  
  
Posted one year ago
Votes Newest

Answers 2


Hi DilapidatedCow43 , which ClearML SDK version are you using?

  
  
Posted one year ago

Hi DilapidatedCow43
I'm assuming the returned object cannot be pickled (which is ClearML's way of serializing it)
You can upload it as a model with
` uploaded_model_url = Task.current_task().update_output_model(model_path="/path/to/local/model")

...
return uploaded_model_url `wdyt?

  
  
Posted one year ago
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2 Answers
one year ago
one year ago
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