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preserving order of the keys when transforming data #2317

@wyli

Description

@wyli

Is your feature request related to a problem? Please describe.

Project-MONAI/tutorials#223

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

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

Additional context
Add any other context or screenshots about the feature request here.

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