note to future self

Author: lucidrains

README.md

@@ -78,10 +78,10 @@ values = wrapped_to_values(
 
 ## Todo
 
-- [] handle rank-1 update for multiple concepts
+- [ ] handle rank-1 update for multiple concepts
     - [x] handle training with multiple concepts
     - [ ] handle multiple concepts in one prompt at inference - summation of the sigmoid term + outputs
-
+- [ ] offer a magic function that automatically tries to wire up the cross attention by looking for appropriately named `nn.Linear` and auto-inferring which ones are keys or values
 - [x] take care of the function that takes in the dataset and text encoder and precomputes the covariance matrix needed for the rank-1 update
 - [x] instead of having the researcher worry about different learning rates, offer the fractional gradient trick from other paper (to learn the concept embedding)