conv_transpose3d_fft
- class deepinv.physics.functional.conv_transpose3d_fft(y: Tensor, filter: Tensor, real_fft: bool = True, padding: str = 'valid')[source]
Bases:
A helper function performing the 3d transposed convolution of
y
andfilter
using FFT. The adjoint of this operation isdeepinv.physics.functional.conv3d_fft()
.If
b = 1
orc = 1
, then this function applies the same filter for each channel. Otherwise, each channel of each image is convolved with the corresponding kernel.Padding conditions include
'circular'
and'valid'
.- Parameters:
y (torch.Tensor) – Image of size
(B, C, D, H, W)
.filter (torch.Tensor) – Filter of size
(b, c, d, h, w)
whereb
can be either1
orB
andc
can be either1
orC
.real_fft (bool) – for real filters and images choose True (default) to accelerate computation
padding (str) – can be
'valid'
(default) or'circular'
- Returns:
torch.Tensor : the output of the convolution, which has the same shape as \(y\)