You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Currently the mode overlaps are computed with vectorized numpy matrix inner products. However, various modes and various layers are accessed via lots of loops (literal while and for loops). There could be some speed improvements if we vectorize the entire process. Or conditional vectorization based on the optical resolution of each 2d grid. If it's super dense, vectorizing across modes as well may require too much memory.
The text was updated successfully, but these errors were encountered:
Currently the mode overlaps are computed with vectorized numpy matrix inner products. However, various modes and various layers are accessed via lots of loops (literal while and for loops). There could be some speed improvements if we vectorize the entire process. Or conditional vectorization based on the optical resolution of each 2d grid. If it's super dense, vectorizing across modes as well may require too much memory.
The text was updated successfully, but these errors were encountered: