conv_transpose3d_fft

deepinv.physics.functional.conv_transpose3d_fft(y, filter, real_fft=True, padding='valid')

A helper function performing the 3d transposed convolution of y and filter using FFT.

The adjoint of this operation is deepinv.physics.functional.conv3d_fft().

If b = 1 or c = 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) where b can be either 1 or B and c can be either 1 or C.

• 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 \(y\)

Return type:

Tensor