Implement Cosine Addition and Smooth Add Diff#67
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mariaWitch wants to merge 2 commits intos1dlx:mainfrom
Draft
Implement Cosine Addition and Smooth Add Diff#67mariaWitch wants to merge 2 commits intos1dlx:mainfrom
mariaWitch wants to merge 2 commits intos1dlx:mainfrom
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Currently waiting on the Tensorsum PR to go through before finalizing this PR. |
The implementation for Cosine Addition is not complete nor identical to the one from Supermerger. Currently waiting for clarification on why a certain change was made to the two new methods before replacing the current implementation with them. Smooth_Add is the same implementation as supermerger, with cupy optimizations built in if a user has that installed and working properly, otherwise it falls back to standard scipy, which is much slower due to being CPU based.
After getting an explanation behind the change, I have implemented it.
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@mariaWitch tensor sum is in |
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I currently have not had enough time to continue working on this, but I will work on moving the required changes over there shortly. I'll keep this change open for posterity until I have enough time to move the related changes over. |
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This Pull request implements the Smooth_Add difference and Cosine Similarity merging methods from SuperMerger with some additional changes for Smooth_add in order to provide significant speed improvements over the Supermerger implementation. There is fallback behavior coded in, in order to make sure that even if CuPy or its dependencies aren't properly installed, the merge can still continue even if it will take a significantly longer amount of time.
NOTE: The implementation for Cosine Addition is not complete nor identical to the one currently in Supermerger. Currently waiting for clarification on why a certain change was made to the two new methods before replacing the current implementation with them.