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Fix RandGridDistortiond converting entire dict when transform is skipped #8862

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Fix RandGridDistortiond converting entire dict when transform is skipped #8862

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e3a2bb2
Replace BaseException with Exception across codebase (#7401)
AlexanderSanin May 18, 2026
37db0ad
Fix RandGridDistortiond converting entire dict when transform is skip…
AlexanderSanin May 18, 2026
a4cefe7
DCO Remediation Commit for Oleksandr Yizchak Sanin <alexaaander.sanin…
AlexanderSanin May 19, 2026
117d65b
Fix mypy error: add type annotation for convert_to_tensor return value
AlexanderSanin May 19, 2026
b11c691
Merge branch 'dev' into fix/rand-grid-distortiond-convert-8604
ericspod May 19, 2026
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7 changes: 4 additions & 3 deletions monai/transforms/spatial/dictionary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2305,12 +2305,13 @@ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torc
d = dict(data)
self.randomize(None)
if not self._do_transform:
out: dict[Hashable, torch.Tensor] = convert_to_tensor(d, track_meta=get_track_meta())
return out
for key in self.key_iterator(d):
d[key] = convert_to_tensor(d[key], track_meta=get_track_meta())
return d

first_key: Hashable = self.first_key(d)
if first_key == ():
out = convert_to_tensor(d, track_meta=get_track_meta())
out: dict[Hashable, torch.Tensor] = convert_to_tensor(d, track_meta=get_track_meta())
return out
if isinstance(d[first_key], MetaTensor) and d[first_key].pending_operations: # type: ignore
warnings.warn(f"data['{first_key}'] has pending operations, transform may return incorrect results.")
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