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Fix task.update_output_model()
should always upload local models to a remote server
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@ -842,6 +842,9 @@ class Task(IdObjectBase, AccessMixin, SetupUploadMixin):
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then ClearML updates the model object associated with the Task an API call. The API call uses with the URI
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of the uploaded file, and other values provided by additional arguments.
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Notice: A local model file will be uploaded to the task's `output_uri` destination,
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If no `output_uri` was specified, the default files-server will be used to store the model file/s.
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:param model_path: A local weights file or folder to be uploaded.
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If remote URI is provided (e.g. http:// or s3: // etc) then the URI is stored as is, without any upload
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:param name: The updated model name.
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@ -859,6 +862,7 @@ class Task(IdObjectBase, AccessMixin, SetupUploadMixin):
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:return: The URI of the uploaded weights file.
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Notice: upload is done is a background thread, while the function call returns immediately
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"""
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output_uri = self.storage_uri or self._get_default_report_storage_uri()
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from ...model import OutputModel
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output_model = OutputModel(
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task=self,
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@ -868,7 +872,10 @@ class Task(IdObjectBase, AccessMixin, SetupUploadMixin):
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)
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output_model.connect(task=self, name=name)
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url = output_model.update_weights(
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weights_filename=model_path, iteration=iteration, auto_delete_file=auto_delete_file
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weights_filename=model_path,
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upload_uri=output_uri,
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iteration=iteration,
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auto_delete_file=auto_delete_file
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)
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return url
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