Example-demo visual_sample.py does not work because the BaseRadon.backprojection does not have a 'extend' argument

[DimitriosBellos]

Hi

Thank you for publishing this code! It is truly amazing.
After I solved the torch.rfft torch.irfft incompatibility (I want to believe successfully) using two wrapper functions (I post them below) I tried to run the visual_sample.py example but I got the following error

Traceback (most recent call last):
  File "/home/user/torch-radon/examples/visual_sample.py", line 29, in <module>
    backprojection = radon.backprojection(sinogram, extend=True)
  File "/home/user/miniconda3/lib/python3.9/site-packages/torch_radon-1.0.0-py3.9-linux-x86_64.egg/torch_radon/utils.py", line 30, in wrapped
    y = f(self, x, *args, **kwargs)
TypeError: backprojection() got an unexpected keyword argument 'extend'

Should I just delete the 'extend' argument?

The wrapper functions I used to solve the torch.rfft and torch.irfft incompatibility:

def rfft_wrapper(input, signal_ndim, normalized=False):
  if signal_ndim < 1 or signal_ndim > 3:
    print("Signal ndim out of range, was", signal_ndim, "but expected a value between 1 and 3, inclusive")
    return

  dims = (-1)
  if signal_ndim == 2:
    dims = (-2, -1)
  if signal_ndim == 3:
    dims = (-3, -2, -1)

  norm = "backward"
  if normalized:
    norm = "ortho"

  return torch.view_as_real(torch.fft.fftn(input, dim=dims, norm=norm))

def irfft_wrapper(input, signal_ndim, normalized=False):
  if signal_ndim < 1 or signal_ndim > 3:
    print("Signal ndim out of range, was", signal_ndim, "but expected a value between 1 and 3, inclusive")
    return

  dims = (-1)
  if signal_ndim == 2:
    dims = (-2, -1)
  if signal_ndim == 3:
    dims = (-3, -2, -1)

  norm = "backward"
  if normalized:
    norm = "ortho"

  return torch.view_as_real(torch.fft.ifftn(input, dim=dims, norm=norm))