'your model' object has no attribute 'seek'. You can only torch.load from a file that is seekable. Please pre-load the data into a buffer like io.BytesIO and try to load from it instead.

 

I tired to save sub model in seq-to-seq model which is encoder part.

What I used for save and load is like follow code and I failed with error like title.

* Failed case

..

torch.save(model.lstm_auto_model.lstm_encoder.lstms, 'idx-78-encoder_lstm_encoder_lstms.mare')

torch.load(lstm_abyss_model.lstm_encoder, 'idx-78-encoder_lstm_lstm_encoder.mare')

..

* error message

AttributeError: 'LSTM' object has no attribute 'seek'. You can only torch.load from a file that is seekable. Please pre-load the data into a buffer like io.BytesIO and try to load from it instead.

..

My solution is to use 'state_dict()' to save model.

Refer to bellow code which was solution for me.

..

torch.save(model.lstm_auto_model.lstm_encoder.lstms.state_dict(), 'idx-78-encoder_lstm_encoder_lstms_dict.mare')

lstm_abyss_model.lstm_encoder.lstms.load_state_dict(torch.load('idx-78-encoder_lstm_encoder_lstms_dict.mare'))

..

Thank you.

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