What would be the point? You would need to add support in Eigen for most of
what makes Numpy Numpy. Eigen is really about 2D, Tensors are not even
close to be something working properly (not even talking about the dynamic
number of dimensions that breaks), and I'm not talking about broadcasting
rul
Hi,
You need the angle to restore the sound. Otherwise you don't get the
phase information.
Just store the angle information and apply it?
Cheers,
Matthieu
Le dim. 24 janv. 2021 à 14:27, a écrit :
>
> Hello friends!
> Maybe that's not directly a Numpy question but I think it can be solved by
Hi,
Let's say that Numpy provides a GPU version on GPU. How would that work
with all the packages that expect the memory to be allocated on CPU?
It's not that Numpy refuses a GPU implementation, it's that it wouldn't
solve the problem of GPU/CPU having different memory. When/if nVidia
decides (fin
Hi,
This works, but reshape doesn't move data around. What happens is that the
data is flattened and then reshaped. If your 5 is not supposed to move, you
should create a 2,5,4 array and then copy the two slices by hand, or use
transpose (make it 5,4,2 and then transpose to 2,5,4=.
Matthieu
Le 1