conv_transpose2d

deepinv.physics.functional.conv_transpose2d(y, filter, padding='valid', correlation=False)

A helper function performing the 2d transposed convolution 2d of x and filter. The transposed of this operation is deepinv.physics.functional.conv2d()

Parameters:

• x (torch.Tensor) – Image of size (B, C, W, H).

• filter (torch.Tensor) – Filter of size (b, c, w, h) ) where b can be either 1 or B and c can be either 1 or C.

• correlation (bool) – choose True if you want a cross-correlation (default False) If b = 1 or c = 1, then this function supports broadcasting as the same as numpy. Otherwise, each channel of each image is convolved with the corresponding kernel.

• padding (str) – options are 'valid', 'circular', 'replicate', 'reflect', 'constant' or 'zeros'. If padding='valid' the output is larger than the image (padding) the output has the same size as the image. Note that 'constant' and 'zeros' are equivalent. Default is 'valid'.

Returns:

torch.Tensor : the output

Return type:

Tensor

Note

This functions gives the same result as deepinv.physics.functional.conv_transpose2d_fft(). However, for small kernels, this function is faster. For large kernels, deepinv.physics.functional.conv_transpose2d_fft() is usually faster but requires more memory.