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Forced Fourier class to output contiguous tensors. #7969

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merged 5 commits into from
Sep 3, 2024
Merged

Forced Fourier class to output contiguous tensors. #7969

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fb65555
Forced Fourier class to output contiguous() tensors.
bwittmann Jul 31, 2024
4df5947
Added `as_contiguous` arg following recommedations from community.
bwittmann Sep 3, 2024
24c195a
Fixed format issue.
bwittmann Sep 3, 2024
73d234e
Merge branch 'dev' into dev
KumoLiu Sep 3, 2024
be49408
DCO Remediation Commit for Bastian Wittmann <bastian.wittmann@uzh.ch>
bwittmann Sep 3, 2024
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12 changes: 8 additions & 4 deletions monai/transforms/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1863,14 +1863,15 @@ class Fourier:
"""

@staticmethod
def shift_fourier(x: NdarrayOrTensor, spatial_dims: int) -> NdarrayOrTensor:
def shift_fourier(x: NdarrayOrTensor, spatial_dims: int, as_contiguous: bool = False) -> NdarrayOrTensor:
"""
Applies fourier transform and shifts the zero-frequency component to the
center of the spectrum. Only the spatial dimensions get transformed.

Args:
x: Image to transform.
spatial_dims: Number of spatial dimensions.
as_contiguous: Whether to convert the cached NumPy array or PyTorch tensor to be contiguous.

Returns
k: K-space data.
Expand All @@ -1885,17 +1886,20 @@ def shift_fourier(x: NdarrayOrTensor, spatial_dims: int) -> NdarrayOrTensor:
k = np.fft.fftshift(np.fft.fftn(x.cpu().numpy(), axes=dims), axes=dims)
else:
k = np.fft.fftshift(np.fft.fftn(x, axes=dims), axes=dims)
return k
return ascontiguousarray(k) if as_contiguous else k

@staticmethod
def inv_shift_fourier(k: NdarrayOrTensor, spatial_dims: int, n_dims: int | None = None) -> NdarrayOrTensor:
def inv_shift_fourier(
k: NdarrayOrTensor, spatial_dims: int, n_dims: int | None = None, as_contiguous: bool = False
) -> NdarrayOrTensor:
"""
Applies inverse shift and fourier transform. Only the spatial
dimensions are transformed.

Args:
k: K-space data.
spatial_dims: Number of spatial dimensions.
as_contiguous: Whether to convert the cached NumPy array or PyTorch tensor to be contiguous.

Returns:
x: Tensor in image space.
Expand All @@ -1910,7 +1914,7 @@ def inv_shift_fourier(k: NdarrayOrTensor, spatial_dims: int, n_dims: int | None
out = np.fft.ifftn(np.fft.ifftshift(k.cpu().numpy(), axes=dims), axes=dims).real
else:
out = np.fft.ifftn(np.fft.ifftshift(k, axes=dims), axes=dims).real
return out
return ascontiguousarray(out) if as_contiguous else out


def get_number_image_type_conversions(transform: Compose, test_data: Any, key: Hashable | None = None) -> int:
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