Closed chifenggengmengyue closed 3 years ago
Hi, thanks for pointing this out! Funnily enough, I discovered this bug a few days ago in my internal repo but forgot to propagate the change here. This line should be the fix: https://github.com/HazyResearch/hippo-code/blob/6ad6580bfdc3e9cb3c50950d430b9800ba68e8e1/model/unroll.py#L302 See if that fixes your issue.
Glad you liked the paper :) I will hopefully be updating this repo in the coming weeks with an improved version, stay tuned...
Great, it works now, appreciate the quick response! looking forward to the improved version, star & watched.
Edit: I found the reconstruct method in hippo.py, looks like I used incorrect t values...Thanks again. -----------------------------------Old Question---------------------------- May I ask one more question? Is the computed 'y[t,..,:]' exactly the coefficients c(t) in your paper? I am trying to reconstruct the original signals 'x' from 'y' using the Reconstruction equation ( f(x) ~= \sum_{n} c_n(t) (2n+1)^(1/2) Pn(2x/t-1) ) in Appendix D.3, the result seems different, but connected in some way (e.g., suppose t=1, calculating \sum{n} y[0,0,n] (2n+1)^(1/2) P_n(2-1) gives twice the target number 'x[0]' I want)...Probably there is a misunderstanding of mine?
Hi, I am trying to running the main process in model/hippo.py and the result of 'y=hippolegs(x)' in L#114 are all zeros, which confuses me as I thought should be the coefficient of LegS basis. I trace the problem back to L#301 in model/unroll.py and find s = op(A, s) involves only A and s (s is a 0 matrix), and the u is ignored. Is this a bug or it just works that way?
Also, thanks for the awsome paper&appendix, I learned a lot from that :)