Basic Signal Processing (FFTs) for PyTorch

Supported OPs

fft1, fft2, fft3, ifft1, ifft2, ifft3.

Examples

import torch
from torch.autograd import Variable
from torchsignal import fft1, fft2

# [..., n, 2] array represents complex numbers
x = torch.rand(5, 2).cuda()
y = fft1(x)

# [..., h, w, 2] array represents complex images
x = torch.rand(5, 128, 128, 2).cuda()
y = fft2(x)

# For variables
x = Variable(torch.rand(5, 2).cuda())
y = fft1(x)

x = Variable(torch.rand(5, 128, 128, 2).cuda())
y = fft2(x)