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Perf: skip redundant full-image mask on StdShiftIntensity nonzero=False path #8975

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Merged
ericspod merged 4 commits into from
Jul 6, 2026
Merged

Perf: skip redundant full-image mask on StdShiftIntensity nonzero=False path #8975

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2e4fafe
Skip redundant full-image mask on StdShiftIntensity nonzero=False path
aymuos15 Jul 2, 2026
f52d22c
Merge branch 'dev' into perf/stdshift-nonzero
ericspod Jul 6, 2026
f1cc881
Use empty-tuple view for StdShiftIntensity nonzero=False path
aymuos15 Jul 6, 2026
4031c82
fix(mypy): narrow slices type on StdShiftIntensity nonzero=False path
aymuos15 Jul 6, 2026
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7 changes: 2 additions & 5 deletions monai/transforms/intensity/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -354,17 +354,14 @@ def __init__(
self.dtype = dtype

def _stdshift(self, img: NdarrayOrTensor) -> NdarrayOrTensor:
ones: Callable
std: Callable
if isinstance(img, torch.Tensor):
ones = torch.ones
std = partial(torch.std, unbiased=False)
else:
ones = np.ones
std = np.std

slices = (img != 0) if self.nonzero else ones(img.shape, dtype=bool)
if slices.any():
slices = (img != 0) if self.nonzero else ()
if not self.nonzero or (isinstance(slices, (np.ndarray, torch.Tensor)) and slices.any()):
offset = self.factor * std(img[slices])
img[slices] = img[slices] + offset
return img
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