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Merged
KumoLiu merged 2 commits into from
Jul 11, 2025
Merged

add kwargs in array and functional file #8508

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943f225
add kwags in array and functional file
IamTingTing Jul 2, 2025
8b0ffe9
Merge branch 'dev' into fix-randzoom-kwargs
KumoLiu Jul 11, 2025
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1 change: 1 addition & 0 deletions monai/transforms/spatial/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1108,6 +1108,7 @@ def __call__(
_dtype,
lazy=lazy_,
transform_info=self.get_transform_info(),
**self.kwargs,
)

def inverse(self, data: torch.Tensor) -> torch.Tensor:
Expand Down
6 changes: 3 additions & 3 deletions monai/transforms/spatial/functional.py
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Original file line number Diff line number Diff line change
Expand Up @@ -411,7 +411,7 @@ def rotate(img, angle, output_shape, mode, padding_mode, align_corners, dtype, l
return out.copy_meta_from(meta_info) if isinstance(out, MetaTensor) else out


def zoom(img, scale_factor, keep_size, mode, padding_mode, align_corners, dtype, lazy, transform_info):
def zoom(img, scale_factor, keep_size, mode, padding_mode, align_corners, dtype, lazy, transform_info, **kwargs):
"""
Functional implementation of zoom.
This function operates eagerly or lazily according to
Expand Down Expand Up @@ -450,7 +450,7 @@ def zoom(img, scale_factor, keep_size, mode, padding_mode, align_corners, dtype,
if keep_size:
do_pad_crop = not np.allclose(output_size, im_shape)
if do_pad_crop and lazy: # update for lazy evaluation
_pad_crop = ResizeWithPadOrCrop(spatial_size=im_shape, mode=padding_mode)
_pad_crop = ResizeWithPadOrCrop(spatial_size=im_shape, mode=padding_mode, **kwargs)
_pad_crop.lazy = True
_tmp_img = MetaTensor([], affine=torch.eye(len(output_size) + 1))
_tmp_img.push_pending_operation({LazyAttr.SHAPE: list(output_size), LazyAttr.AFFINE: xform})
Expand Down Expand Up @@ -486,7 +486,7 @@ def zoom(img, scale_factor, keep_size, mode, padding_mode, align_corners, dtype,
out = out.copy_meta_from(meta_info)
do_pad_crop = not np.allclose(output_size, zoomed.shape[1:])
if do_pad_crop:
_pad_crop = ResizeWithPadOrCrop(spatial_size=img_t.shape[1:], mode=padding_mode)
_pad_crop = ResizeWithPadOrCrop(spatial_size=img_t.shape[1:], mode=padding_mode, **kwargs)
out = _pad_crop(out)
if get_track_meta() and do_pad_crop:
padcrop_xform = out.applied_operations.pop()
Expand Down
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