About padding index number

Hi!!

Thanks for great code!
I have one question about padding at dataloaders/bert.py.

BERT4Rec-VAE-Pytorch/dataloaders/bert.py

Line 112 in f66f253

tokens = [0] * mask_len + tokens

BERT4Rec-VAE-Pytorch/dataloaders/bert.py

Line 146 in f66f253

seq = [0] * padding_len + seq

At this code, if item length is not enough, then pad using [0].
But I think, index 0 already have a Corresponding itemID, so that is padding using real itemID, right?

Thanks

Hi! Thanks for your message. Exactly your way is good, or use padding_id is item length + 1. ex) padding_id = max(item_len) + 1 # If mask_id use max(item_len + 1) then padding_id = max(item_len) + 2 something like that. I really appreciated your code. Thanks!! 2023年9月1日(金) 21:49 大锤哥 ***@***.***>:

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hey，friend，though it's 2023 now,the question you propose i think the itemID start from 1. like this : skill_id = [id:i+1 for i,id in enumerate(skill_original)] Maybe during data preprocessing, when reindexing starts from 1 — Reply to this email directly, view it on GitHub <#17 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AKMGYJSBZX5OKLLTDRD23JLXYHKUDANCNFSM5OQ6WBAQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>