Open kronee0516 opened 4 months ago
Hi Referring to the article
Complex-valued Building Blocks. Given a complex-valued convolutional filter W = A+iB with real-valued matrices A and B, the complex convolution operation on complex vector h = x + iy with W is done by W ∗h = (A∗x−B ∗y)+i(B ∗x+A∗y)
Basically, it's just a way of multiplying complex numbers: (a + ib) (c + id) = ac + iad + ibc + i2bd ⇒ (a + ib) (c + id) = (ac - bd) + i(ad + bc) [Because i2 = -1]
Unfortunately, it is impossible to find out which pytorch version I used (no artefacts like requirements.txt left) because at that time I did not have enough experience to write reproducible code. In any case, you can share your errors and we will try to solve them, it can be usefull for someone.
Can't understand what is happening Is that some kind of theory need to do that?
one more question what is the pytorch version you use? i encountered different errors when about start to train