get_replacement_mapper_ in seq_aligner.py about prompt-to-prompt HOT 6 OPEN

I think this is because your source prompt and target prompt are almost the same, and the processed results of the tokenizer are so similar to the space-splited ones. For these cases, it will return the diagonal matrix. However, If the source text is "a lion is eating an apple", and the edited text is "a lovely-dog is eating an apple", the "lion" will be mapped to "lovely", "-", and "dog", because the tokenizer will tokenized the "lovely-dog" into "lovely", "-", "dog".

from prompt-to-prompt.

I also have same question. Can anyone answer for us? :)

from prompt-to-prompt.

I have the same question...

from prompt-to-prompt.

I think this is because your source prompt and target prompt are almost the same, and the processed results of the tokenizer are so similar to the space-splited ones. For these cases, it will return the diagonal matrix. However, If the source text is "a lion is eating an apple", and the edited text is "a lovely-dog is eating an apple", the "lion" will be mapped to "lovely", "-", and "dog", because the tokenizer will tokenized the "lovely-dog" into "lovely", "-", "dog".

you are right bro!

from prompt-to-prompt.

I have the same question,too.

from prompt-to-prompt.

I have the same question,too.
Reason: seq_aligner file is not being imported
Action: Create a new unit folder, create an empty init.py in it, and move the seq_aligner.py into this folder, and remember to modify the path when importing at the end

from prompt-to-prompt.