metatensor slicing should decollate applied operations #4715
Description
Describe the bug
from monai.data import MetaTensor, list_data_collate
from monai.transforms import Resize
a = MetaTensor([[1.0, 2.0]])
a = Resize((1, 2))(a)
b = list_data_collate([a, a])
print(b[0]) # decollate, slicingoutput:
tensor([[[1.5000, 1.5000]]])
MetaData
affine: tensor([[ 2.0000, 0.0000, 0.0000, 0.5000],
[ 0.0000, 0.5000, 0.0000, -0.2500],
[ 0.0000, 0.0000, 1.0000, 0.0000],
[ 0.0000, 0.0000, 0.0000, 1.0000]], dtype=torch.float64)
Applied operations
[ [ { class: 'Resize',
extra_info: {'align_corners': none, 'mode': area, 'new_dim': 1},
id: 140688499272720,
orig_size: (2, 1)}],
[ { class: 'Resize',
extra_info: {'align_corners': none, 'mode': area, 'new_dim': 1},
id: 140688499272720,
orig_size: (2, 1)}]]
Is batch?: False
the expected output is a metatensor with a single element in applied_operations
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