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preserving order of the keys when transforming data #2317
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enhancementNew feature or requestNew feature or request
Description
Is your feature request related to a problem? Please describe.
Packages such as Catalyst use the first item of the data dict to infer the batch size.
self.batch_size = next(iter(batch.values())).shape[0]
Our recent updates on the transforms such as
MONAI/monai/transforms/croppad/dictionary.py
Lines 1028 to 1030 in 316449b
| for key in set(data.keys()).difference(set(self.keys)): | |
| results[i][key] = deepcopy(data[key]) | |
| for key in self.key_iterator(d): |
change the order of the data dict keys and this causes errors
Describe the solution you'd like
the transforms should preserve the keys' order whenever possible.
Describe alternatives you've considered
could have some other workaround to address the specific issue in the demo, but we may have similar issues in the future which are potentially difficult to debug
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enhancementNew feature or requestNew feature or request