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# pickle file
# save the serialized states to a file
from adalflow.utils.file_io import save_pickle
states = doc.to_dict()
# save_json(states, "doc.json")
save_pickle(states, "doc.pkl")
# load the serialized states from a file
from adalflow.utils.file_io import load_pickle
states_loaded = load_pickle("doc.pkl")
print(states_loaded == states)
doc_pickle = DocQA.from_dict(states_loaded)
I get this error by simply running component.ipynb notebook on Google Colab.
I attempted several methods for pickling (joblib, cloudpickle, pickle5, and AdalFlow's save_pickle) but none were successful. Serialization with PySpark and saving as JSON also failed.
The issue seems related to the structuring of class members with nested functions; addressing this led to a new issue with thread locks.
Is there currently support for saving models or components?
AttributeError Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/adalflow/utils/file_io.py in save_pickle(obj, f)
64 with open(f, "wb") as file:
---> 65 pickle.dump(obj, file)
66 except Exception as e:
AttributeError: Can't pickle local object 'Generator.set_data_map_func..default_map_func'
During handling of the above exception, another exception occurred:
Exception Traceback (most recent call last)
1 frames
/usr/local/lib/python3.10/dist-packages/adalflow/utils/file_io.py in save_pickle(obj, f)
65 pickle.dump(obj, file)
66 except Exception as e:
---> 67 raise Exception(f"Error saving object to pickle file {f}: {e}")
68
69
Exception: Error saving object to pickle file doc.pkl: Can't pickle local object 'Generator.set_data_map_func..default_map_func'
Will need to have a customized
to_dict
and 'from_dict` so that we can exclude unpicklable object and restore it at from_dict loadingThe text was updated successfully, but these errors were encountered: